# This list should be sorted beyond the first heading (Satellite, Model, etc., which put the top level menus in the order Jim wants). Satellite.calipso.L1.Amplifier_Gain_1064 (V/V) Gain of the variable gain amplifier for the 1064nm parallel channel. Satellite.calipso.L1.Attenuated_Backscatter_1064 (/km/sr) Attenuated backscatter at 1064nm, derived from the calibrated, range-corrected, gain and laser energy normalized, background and baseline subtracted lidar return signal. The first 33 bins of each profile contain fill values (-9999), because no 1064nm data is downlinked from the 30.1-40km altitude range. Satellite.calipso.L1.Calibration_Constant_1064 (km3*sr*counts) Calibration constant at 1064 nm reported for each single shot profile. CALIOP 10 64nm channel is calibrated relative to the 532nm channel using the backscatter from a carefully selected subset of cirrus cloud measurements. Unlike the 532nm calibrations, at 1064nm the same procedure is used for both daytime and nighttime calibrations. Satellite.calipso.L1.Calibration_Constant_532 (km3*sr*count/J) Calibration constant at 532 nm reported for each single shot profile using a molecular normalization technique. Separate techniques are applied for day and night measurements. Satellite.calipso.L1.Calibration_Constant_Uncertainty_1064 (km3*sr*counts) Estimated uncertainty in the 1064nm calibration constant, computed and reported for each single shot profile. Unlike the 532nm calibration constant uncertainties, the uncertainties reported for the 1064nm calibration constants include contributions from both random errors, which can be reduced by averaging, and systematic biases, which cannot be reduced by averaging. Satellite.calipso.L1.Calibration_Constant_Uncertainty_532 (km3*sr*count/J) Estimated calibration uncertainty due to random noise in the 532 nm calibration constant, computed and reported for each single shot profile. Random uncertainties for calibration constants subsequently derived using a multi-orbit sliding window averaging are reduced from the single, individual sample estimate by the square root of the number of samples included in the average. Satellite.calipso.L1.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L1.Depolarization_Gain_Ratio_532 (-) Ratio of the opto-electric gains between the 532nm perpendicular and 532nm parallel channels, i.e. the polarization gain ratio (PGR). The 532 nm nighttime PGR is calculated from routine PGR calibration operations, in which a pseudo-depolarizer is inserted into the optical path to generate equal backscatter intensities in both the 532nm channels. The 532nm daytime PGR is calculated based on the Perpendicular and Parallel RMS Baseline measurements above optically thick ice clouds. Satellite.calipso.L1.Depolarization_Gain_Ratio_Uncertainty_532 (-) Uncertainty in the 532 nm depolarization gain ratio (PGR) due to random noise computed based on the 532nm parallel and perpendicular noise scale factors. Systematic errors are not included but are estimated to be small. Satellite.calipso.L1.Earth-Sun_Distance (AU) The distance from the Earth surface to the Sun. Satellite.calipso.L1.Frame_Number (-) The number of the current frame (5km horizonal segment) within the sequence of 11 frames within a Payload Data Acquisition Cycle (PDAC). Satellite.calipso.L1.GMAO_Surface_Elevation (-) Surface elevation at the laser footprint, above local mean sealeve, obtained ancillary GMAQ data. This is at a lower resolution as compared with Surface_Elevation. Satellite.calipso.L1.IGBP_Surface_Type (-) IGBP surface type at the laser footprint provided by the CERES/SARB surface map: 1 = Evergreen-Needleleaf-Forest, 2 = Evergreen-Broadleaf-Forest, 3 = Deciduous-Needleleaf-Forest, 4 = Deciduous-Broadleaf-Forest, 5 = Mixed-Forest, 6 = Closed-Shrubland, 7 = Open-Shrubland/Desert, 8 = Woody-Savanna, 9 = Savanna, 10 = Grassland, 11 = Wetland, 12 = Cropland, 13 = Urban, 14 = Crop-Mosaic, 15 = Permanent-Snow, 16 = Barren/Desert, 17 = Water, 18 = Tundra. Satellite.calipso.L1.Land_Water_Mask (-) Surface type at the laser footprint provided by the CloudSat science team digital elevation model (DEM): 0 = shallow ocean, 1 land, 2 = coastlines, 3 = shallow inland water, 4 = intermittent water, 5 = deep inland water, 6 = continental ocean, 7 = deep ocean. Satellite.calipso.L1.Laser_Energy_1064 (J) The laser energy at 1064nm measured by the laser energy monitor for each shot. Satellite.calipso.L1.Laser_Energy_532 (J) The laser energy at 532 nm measured by the laser energy monitor for each shot. Satellite.calipso.L1.Lidar_Mode (-) Lidar operations mode: 1 = safe, 2 = standby, 3 = autonomous data collection, 4 = built-in test system (BITS), 5 = special operations, 6 = diagnostic. Satellite.calipso.L1.Lidar_Submode (-) Lidar operations submode (value - submode): 1 - safe, 2 - warm-up, 3 - standby, 4 - normal, 5 - BITS profile #1, no background, 6 - BITS profile #2, no background, 7 - BITS profile #3, no background, 8 - BITS profile #4, no background, 9 - BITS profile #1, with background, 10 - BITS profile #2, with background, 11 - BITS profile #3, with background, 12 - BITS profile #4, with background, 13 - no baseline removal, 14 - baseline measurement, 15 - polarization calibration, 16 - extended background measurement, 17 - boresight alignment, 18 - manual boresight operation, 19 - boresight search, 20 - build on-board baseline profiles, 21 - baseline corrected high gain channel, 22 - baseline corrected low gain channel, 23 - uncorrected high gain channel, 24 - uncorrected low gain channel, 25 - diagnostic. Satellite.calipso.L1.Molecular_Number_Density (molecules/m3) Mean molecular number density reported for the midpoint of each range bin in the profile; derived from the MERRA-2 data product. Satellite.calipso.L1.Negative_Signal_Anomaly_Index_1064 (-) Reports the zero-based altitude index of the lowest range bin where the negative signal anomaly is detected in the 1064nm channel. For profiles where the negative signal anomaly is not detected, as value of -1 is reported. Satellite.calipso.L1.Negative_Signal_Anomaly_Index_532Par (-) Reports the zero-based altitude index of the lowest range bin where the negative signal anomaly is detected in the 532nm parallel channel. For profiles where the negative signal anomaly is not detected, as value of -1 is reported. Satellite.calipso.L1.Negative_Signal_Anomaly_Index_532Perp (-) Reports the zero-based altitude index of the lowest range bin where the negative signal anomaly is detected in the 532nm perpendicular channel. For profiles where the negative signal anomaly is not detected, as value of -1 is reported. Satellite.calipso.L1.Noise_Scale_Factor_1064 (square_root_of_counts) Noise scale factor (NSF) for the 1064nm channel. CALIOP does not measure the background signal level at 1064 nm, because the APD detector dark noise is dominant during both nighttime and daytime measurement. For this reason, the procedure to estimate the NSF for the 532 nm channels cannot be used for the 1064 nm channel. The 1064nm NSF is therefore set to 0, which causes negligible error because, as above, the APD detector dark noise is the dominant error source. Satellite.calipso.L1.Noise_Scale_Factor_532_Parallel (square_root_of_counts) Noise scale factor (NSF) for each shot of the 532nm parallel channel, computed from daytime measurement of the Parallel RMS Baseline 532 and the Parallel Background Monitor 532. Satellite.calipso.L1.Noise_Scale_Factor_532_Perpendicular (square_root_of_counts) Noise scale factor (NSF) for each shot of the 532nm perpendicular channel, computed from daytime measurement of the Perpendicular RMS Baseline 532 and the Perpendicular Background Monitor 532. Satellite.calipso.L1.Number_Bins_Shift (-) Number of 30 meter bins shifted by the altitude registration algorithm to match the range bin at mean sea level in the measured profile to the range bin at mean sealevel in the fixed altitude grid; positive = shift up and negative = shift down. Satellite.calipso.L1.Off_Nadir_Angle (degrees) Angle of the lidar viewing vector; 0.3 degrees off-nadir from launch/first-light to 3.0 degrees after November 28, 2007. Satellite.calipso.L1.Ozone_Number_Density (molecules/m3) Ozone number density, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L1.Parallel_Amplifier_Gain_532 (V/V) Gain of the variable gain amplifier for the 532 nm parallel channel. Satellite.calipso.L1.Parallel_Background_Monitor_532 (counts) Amplitude of the background signal measured using the 532 nm parallel channel background monitor and rescaled to science digitizer units. Satellite.calipso.L1.Parallel_Column_Reflectance_532 (-) Bi-directional column reflectance derived from the root-mean-square variation of the 532 nm parallel channel baseline measurements. Satellite.calipso.L1.Parallel_Column_Reflectance_Uncertainty_532 (-) Column reflectance uncertainty for the 532nm parallel channel. Satellite.calipso.L1.Parallel_RMS_Baseline_532 (counts) Root mean square (RMS) noise, in science digitizer counts, of the high-altitude baseline signal measured for each laser pulse over 1000 15m samples acquired in the 64-80km altitude range in the 532nm parallel channel. Satellite.calipso.L1.Perpendicular_Amplifier_Gain_532 (V/V) Gain of the variable gain amplifier for the 532 nm perpendicular channel. Satellite.calipso.L1.Perpendicular_Attenuated_Backscatter_532 (/km/sr) Perpendicular channel component of the 532nm total attenuated backscatter coefficients. Profiles of the parallel channel component of the 532nm total attenuated backscatter coefficients can be obtained by subtraction of the perpendicular from the total. Satellite.calipso.L1.Perpendicular_Background_Monitor_532 (counts) Amplitude of the background signal measured using the 532nm perpendicular channel background monitor and rescaled to science digitizer units. Satellite.calipso.L1.Perpendicular_Column_Reflectance_532 (-) Bi-directional column reflectance derived from the root-mean-square variation of the 532 nm perpendicular channel baseline measurements. Satellite.calipso.L1.Perpendicular_Column_Reflectance_Uncertainty_532 (-) Column reflectance uncertainty for the 532nm perpendicular channel. Satellite.calipso.L1.Perpendicular_RMS_Baseline_532 (counts) Root mean square (RMS) noise, in science digitizer counts, of the high-altitude baseline signal measured for each laser pulse over 1000 15m samples acquired in the 64-80km altitude range in the 532nm perpendicular channel. Satellite.calipso.L1.Pressure (hPa) Pressure, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L1.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L1.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L1.QC_Flag (-) Quality Control Flag #1 (bit - interpretation): bit 1 - 532nm parallel channel missing bit, 2 - 532nm perpendicular channel missing, bit 3 - 1064nm channel missing, bit 4 - Not geolocated, bit 5 - Single shot 532 laser energy below calibration threshold (below 0.01 J; near zero energy), bit 6 - Single shot 1064 laser energy below calibration threshold (below 0.0408 J; near zero energy), bit 7 - Historical value used for the depolarization gain ratio, bit 8 - Historical calibration constant used, 532nm parallel channel, bit 9 - Historical calibration constant used, 532nm perpendicular channel, bit 10 - Historical calibration constant used, 1064nm channel, bit 11 - Averaged calibration constant used, 532nm parallel channel, bit 1 2 - Averaged calibration constant used, 532nm perpendicular channel, bit 1 3 - Single shot 532 laser energy below data quality threshold (below 0.05 J; low energ y), bit 14 - Single shot 1064 laser energy below data quality threshold (below 0.05J; low energy), bit 15 - Near zero 532nm laser energy profile included in region 3 average, bit 16 - Near zero 1064nm laser energy profile inclu ded in region 3 average, bit 17 - Near zero 532nm laser energy profile included in region 4 average, bit 18 - Near zero 1064nm laser energy profile included in region 4 average, bit 19 - Near zero 532nm laser energy profile included in region 5 average, bit 20 - Low 532 nm laser energy profile included in region 3 average, bit 21 - Low 1064nm laser energy profile included in region 3 average, bit 22 - Low 532nm laser energy profile included in region 4 average, bit 23 - Low 532nm laser energy profile included in region 4 average, bit 24 - Low 532nm laser energy profile included in region 5 average, bits 25...32 - Spare. Satellite.calipso.L1.QC_Flag_2 (-) Quality Control Flag #2 (bit - interpretation):, bit 1 - Reserve, bit 2 - Excessive digitizer underflows, 532nm parallel channel in region 6, bit 3 - Excessive digitizer underflows, 532nm perpendicular parallel channel, region 6, bit 4 - Excessive digitizer underflows, 1064nm channel, region 6, bit 5 - Excessive digitizer overflows, 532nm parallel channel, region 6, bit 6 - Excessive digitizer overflows, 532nm perpendicular parallel channel, region 6, bit 7 - Excessive digitizer overflows, 1064nm channel, region 6, bit 8 - Excessive digitizer overflows, 532nm parallel channel, region 2, bit 9 - Excessive digitizer overflows, 532nm perpendicular parallel channel, region 2, bit 10 - Excessive digitizer overflows, 1064nm channel, region 2, bit 11 - LRE Flags in SAD packet indicate bad data, 532nm parallel channel, bit 12 - LRE Flags in SAD packet indicate bad data, 532nm perpendicular channel, bit 13 - LRE Flags in SAD packet indicate bad data, 1064nm channel, bit 14 - Quality Flags in SAD packet indicate bad data, 532nm parallel channel, bit 15 - Quality Flags in SAD packet indicate bad data, 532nm perpendicular channel, bit 16 - Quality Flags in SAD packet indicate bad data, 1064nm channel, bit 17 - Suspicious offset calculation, 532nm parallel channel, bit 18 - Suspicious offset calculation, 532nm perpendicular channel, bit 19 - Suspicious offset calculation, 1064nm channel, bit 20 - Suspicious mean signal value, 532nm parallel channel (any/all regions), bit 21 - Suspicious mean signal value, 532nm perpendicular channel (any/all regions), bit 22 - Suspicious mean signal value, 1064nm channel (any/all regions), bit 23 - RMS noise out of range, 532nm parallel channel, bit 24 - RMS noise out of range, 532nm perpendicular parallel channel, bit 25 - RMS noise out of range, 1064nm channel, bit 26 - Near surface meteorological parameters were remapped to DEM surface altitude, bit 27 - 1064nm calibration coefficients suspect due to low temperatures associated with power up, bits 28 ...32 Spare. Satellite.calipso.L1.RMS_Baseline_1064 (counts) Root mean square (RMS) noise, in science digitizer counts, of the high-altitude baseline signal measured for each laser pulse over 1000 15m samples acquired in the 65-80km altitude range in the 1064nm channel. Satellite.calipso.L1.Reflectance_Calibration_Coefficient_532 (W/m^2/sr/counts) Calibration coefficient that converts the sum of the squares of the RMS baseline measurements (units = CALIOP science digitizer counts) to radiances (units = W * 1/ m^2 * 1/sr). Satellite.calipso.L1.Reflectance_Calibration_Coefficient_Uncertainty_532 (W/m^2/sr/counts) Absolute uncertainty in the calibration coefficients that convert the sum of the squares of the RMS baseline measurements to radiances. Satellite.calipso.L1.Relative_Humidity (%) Relative humidity, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L1.Scattering_Angle (degrees) Angle between the lidar viewing angle and the line of sight of the sun. Satellite.calipso.L1.Snow_Ice_Surface_Type (-) Snow and ice coverage for the surface at the laser footprint provided by the U.S. Airforce Weather Agency (AFWA). Values between 0 and 100 represent the percentage of ice, while 101 = permanent ice, 103 = snow, and 255 = mixed pixels at coastline. Satellite.calipso.L1.Solar_Azimuth_Angle (degrees) Azimuth angle from north of the line of sight to the sun. Satellite.calipso.L1.Solar_Zenith_Angle (degrees) Angle between the zenith at the lidar footprint on the surface and the line of sight to the sun. Satellite.calipso.L1.Spacecraft_Altitude (km) Altitude above mean sea level of the satellite. Satellite.calipso.L1.Spacecraft_Attitude_Rate_X (deg/s) X-coordinate of change of attitude of the satellite. Satellite.calipso.L1.Spacecraft_Attitude_Rate_Y (deg/s) Y-coordinate of change of attitude of the satellite. Satellite.calipso.L1.Spacecraft_Attitude_Rate_Z (deg/s) Z-coordinate of change of attitude of the satellite. Satellite.calipso.L1.Spacecraft_Attitude_X (degrees) X-coordinate of attitude (roll, pitch, yaw) of the satellite. Satellite.calipso.L1.Spacecraft_Attitude_Y (degrees) Y-coordinate of attitude (roll, pitch, yaw) of the satellite. Satellite.calipso.L1.Spacecraft_Attitude_Z (degrees) Z-coordinate of attitude (roll, pitch, yaw) of the satellite. Satellite.calipso.L1.Spacecraft_Position_X (km) X-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L1.Spacecraft_Position_Y (km) Y-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L1.Spacecraft_Position_Z (km) Z-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L1.Spacecraft_Velocity_X (km/s) X-coordinate of velocity (ECR coordinates) of the satellite. Satellite.calipso.L1.Spacecraft_Velocity_Y (km/s) Y-coordinate of velocity (ECR coordinates) of the satellite. Satellite.calipso.L1.Spacecraft_Velocity_Z (km/s) Z-coordinate of velocity (ECR coordinates) of the satellite. Satellite.calipso.L1.Subsatellite_Latitude (degrees) Latitude of the geodetic subsolar point, which is the point on the surface where the geodetic zenith vector points toward the satellite. Satellite.calipso.L1.Subsatellite_Longitude (degrees) Longitude of the geodetic subsolar point, which is the point on the surface where the geodetic zenith vector points toward the satellite. Satellite.calipso.L1.Subsolar_Latitude (degrees) Latitude of the geodetic subsolar point, which is the point on the surface where the geodetic zenith vector points toward the Sun. Satellite.calipso.L1.Subsolar_Longitude (degrees) Longitude of the geodetic subsolar point, which is the point on the surface where the geodetic zenith vector points toward the Sun. Satellite.calipso.L1.Surface_Altitude_Shift (km) Altitude difference between the profile specific 30 meter altitude array and the fixed 30 meter altitude array at the array element that includes mean sea level. Profile specific altitude arrays are computed as a function of the actual spacecraft off-nadir angle, which varies slightly from the commanded spacecraft off-nadir angle. The difference is calculated as: Surface_Altitude_Shift = altitude (profile specific 30 meter mean sea level bin) - altitude (fixed 30 meter mean sea level bin); positive = shift up and negative = shift down. Satellite.calipso.L1.Surface_Elevation (km) Surface elevation at the laser footprint, above local mean sealeve, obtained from the CloudSat science team digital elevation model (DEM). Satellite.calipso.L1.Surface_Saturation_Flag_1064 (-) Reports the likelihood that the surface signal in the 1064nm channel is saturated: 0 - not saturated, 1 - possibly saturated, 2 - certainly saturated. Satellite.calipso.L1.Surface_Saturation_Flag_532Par (-) Reports the likelihood that the surface signal in the 532 nm parallel channel is saturated: 0 - not saturated, 1 - possibly saturated, 2 - certainly saturated. Satellite.calipso.L1.Surface_Saturation_Flag_532Perp (-) Reports the likelihood that the surface signal in the 532nm perpendicular channel is saturated: 0 - not saturated, 1 - possibly saturated 2 - certainly saturated. Satellite.calipso.L1.Surface_Saturation_Index_1064 (-) Reports the zero-based altitude index of the lowest range bin where the surface saturation flag is either possibly saturated or certainly saturated for the 1064nm channel. For profiles classified as not saturated, a value of -1 is reported. Satellite.calipso.L1.Surface_Saturation_Index_532Par (-) Reports the zero-based altitude index of the lowest range bin where the surface saturation flag is either possibly saturated or certainly saturated for the 532nm parallel channel. For profiles classified as not saturated, a value of -1 is reported. Satellite.calipso.L1.Surface_Saturation_Index_532Perp (-) Reports the zero-based altitude index of the lowest range bin where the surface saturation flag is either possibly saturated of certainly saturated for the 532nm perpendictular channel. For profiles classified as not saturated, a value of -1 is reported. Satellite.calipso.L1.Surface_Wind_Speeds_10m (m/s) Surface wind speeds measured 10m above the Earth surface. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Provided by MERRA-2. Satellite.calipso.L1.Temperature (degC) Temperature, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L1.Total_Attenuated_Backscatter_532 (/km/sr) Total attenuated backscatter coefficientsat 532nm, equal to the sum of the parallel and perpendicular channel 532nm attenuated backscatter coefficients. Attenuated backscatter coefficients are derived from the calibrated, range-corrected, gain and laser energy normalized, background and baseline subtracted lidar return signal. Satellite.calipso.L1.Tropopause_Height (km) Tropopause height. Provided by MERRA-2. Satellite.calipso.L1.Tropopause_Temperature (degC) Tropopause temperature. Provided by MERRA-2. Satellite.calipso.L1.Viewing_Azimuth_Angle (degrees) Azimuth angle from north of the lidar viewing vector. Satellite.calipso.L1.Viewing_Zenith_Angle (degrees) Angle between the lidar viewing vector and the zenith at the lidar footprint on the surface. Satellite.calipso.L2_01kmALay.Layer_IAB_QA_Factor (-) Single layer analog of the column integrated attenuated backscatter cumulative probability. Satellite.calipso.L2_01kmALay.Layer_Top_Altitude (km) Top of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_01kmCLay.Column_IAB_Cumulative_Probability (-) The cumulative probability of measuring a total column integrated attenuated backscatter value equal to the value computed for the current profile. Satellite.calipso.L2_01kmCLay.Column_Integrated_Attenuated_Backscatter_532 (1/sr) The integral with respect to altitude of the 532nm total attenuated backscatter coefficients. The limits of integration are from the onset of the backscatter signal at ~40 km, down to the range bin immediately prior to the surface elevation specified by the digital elevation map (DEM). Satellite.calipso.L2_01kmCLay.Column_Particulate_Optical_Depth_Above_Opaque_Water_Cloud_532 (-) 532nm particulate optical depths in the vertical column above an opaque water cloud, derived according to the method detailed in Hu et al., 2007 (DOI: 10.1109/LGRS.2007.901085). Satellite.calipso.L2_01kmCLay.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L2_01kmCLay.Feature_Classification_Flags (-) For each layer detected in the CALIPSO backscatter data a feature classification flags are derived. The complete set of flags are stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): 011 bits 1-3; Feature Type, 0110 = invalid (bad or missing data), 0111 = clear air, 0112 = cloud, 0113 = tropospheric aerosol, 0114 = stratospheric aerosol, 0115 = surface, 0116 = subsurface, 0117 = no signal, bits 4-5; Feature Type QA, 011 = 0 = none, 0111 = low, 0112 = medium, 0113 = high 011 bits 6-7; Ice/Water Phase (cloud), 0110 = unknown/not determined, 0111 = ice, 0112 = water, 0113 = oriented ice crystals, bits 8-9; Ice/Water Phase QA (cloud), 0110 = none, 0111 = low, 0112 = medium, 0113 = high, 011bits 10-12; Feature Subtype (clear-air), 0110 = n/a, 0111 = not searched for features at 80km resolution, 0112 = not searched for features at 20 and 8km resolution, bits 10-12; Feature Subtype (Cloud), 0110 = low overcast, transparent, 0111 = low overcast, opaque, 0112 = transition stratocumulus, 0113 = low, broken cloud. Satellite.calipso.L2_01kmCLay.IGBP_Surface_Type (-) IGBP surface type at the laser footprint provided by the CERES/SARB surface map: 1 = Evergreen-Needleleaf-Forest, 2 = Evergreen-Broadleaf-Forest, 3 = Deciduous-Needleleaf-Forest, 4 = Deciduous-Broadleaf-Forest, 5 = Mixed-Forest, 6 = Closed-Shrubland, 7 = Open-Shrubland/Desert, 8 = Woody-Savanna, 9 = Savanna, 10 = Grassland, 11 = Wetland, 12 = Cropland, 13 = Urban, 14 = Crop-Mosaic, 15 = Permanent-Snow, 16 = Barren/Desert, 17 = Water, 18 = Tundra. Satellite.calipso.L2_01kmCLay.Integrated_Attenuated_Backscatter_1064 (1/sr) Integrated_Attenuated_Backscatter_1064 Satellite.calipso.L2_01kmCLay.Integrated_Attenuated_Backscatter_532 (1/sr) Integrated_Attenuated_Backscatter_532 Satellite.calipso.L2_01kmCLay.Integrated_Attenuated_Backscatter_Uncertainty_1064 (1/sr) Integrated_Attenuated_Backscatter_Uncertainty_1064 Satellite.calipso.L2_01kmCLay.Integrated_Attenuated_Backscatter_Uncertainty_532 (1/sr) Integrated_Attenuated_Backscatter_Uncertainty_532 Satellite.calipso.L2_01kmCLay.Integrated_Attenuated_Total_Color_Ratio (-) Integrated_Attenuated_Total_Color_Ratio Satellite.calipso.L2_01kmCLay.Integrated_Attenuated_Total_Color_Ratio_Uncertainty (-) Integrated_Attenuated_Total_Color_Ratio_Uncertainty Satellite.calipso.L2_01kmCLay.Integrated_Volume_Depolarization_Ratio (-) Integrated_Volume_Depolarization_Ratio Satellite.calipso.L2_01kmCLay.Integrated_Volume_Depolarization_Ratio_Uncertainty (-) Integrated_Volume_Depolarization_Ratio_Uncertainty Satellite.calipso.L2_01kmCLay.Layer_Base_Altitude (km) Base of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_01kmCLay.Layer_Base_Pressure (hPa) Pressure at the layer base altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_01kmCLay.Layer_Centroid_Temperature (degC) Temperature at the layer attenuated backscatter centroid altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_01kmCLay.Layer_IAB_QA_Factor (-) Single layer analog of the column integrated attenuated backscatter cumulative probability. Satellite.calipso.L2_01kmCLay.Layer_Top_Altitude (km) Top of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_01kmCLay.Layer_Top_Pressure (hPa) Pressure at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_01kmCLay.Layer_Top_Temperature (degC) Temperature at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_01kmCLay.Low_Energy_Mitigation_Column_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each column; least significant bit = bit 1 (bit; interpretation): bit 1; Column contains LEM affected data (data has been rejected or low energy shots that LEM accepts, bit 2; Column belongs to a 5km resolution frame that has been rejected due to too many unusable profiles, bit 3; Column belongs to a 5 km resolution frame that has been rejected due to too many rejected subregions in altitude region 3, bit 4; Column belongs to a 5km resolution frame that has been rejected due to too many rejected subregions in altitude region 4, bit 5; Feature detection at 20km resolution not performed in this column due to insufficient fraction of usable 5km resolution frames, bit 6; Feature detection at 80 km resolution not performed in this column due to insufficient fraction of usable 5 km resolution frames, bits 7-16; Unused. Satellite.calipso.L2_01kmCLay.Low_Energy_Mitigation_Feature_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each layer detected (flag - interpretation): 0 - No low energy shots affecting the layer, 1 - Some portion of the layer contains low energy shots and/or data rejected by the LEM algorithm Satellite.calipso.L2_01kmCLay.Midlayer_Pressure (hPa) Pressure at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_01kmCLay.Midlayer_Temperature (degC) Temperature at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_01kmCLay.Minimum_Laser_Energy_532 (J) Minimum laser energy at 532 nm measured within each 80 km along-track data segment (80km = 240 single-shot laser pulses). The 80km distance matches the largest horizontal extent considered in CALIOP standard level 2 data analyses. Satellite.calipso.L2_01kmCLay.Number_Layers_Found (-) The number of cloud layers found in a column. The merged 5km layer product reports layers detected at multiple averaging resolutions (5km, 20km, and 80km). Because the reporting resolution (5-km) is not always identical to the detection resolution, layers may appear to overlap in the vertical dimension. Satellite.calipso.L2_01kmCLay.ODCOD_Effective_Optical_Depth_532 (-) Column estimate of apparent (multiple scattering effects not accounted for) optical depth at 532nm wavelength for all particulate (clouds and aerosols) within the illuminated volume from just above the lidar detected ocean surface to the CALIPSO top of atmosphere. Satellite.calipso.L2_01kmCLay.ODCOD_Effective_Optical_Depth_532_Uncertainty (-) An analytical estimate of the absolute standard deviation uncertainty in the ODCOD Effective Optical Depth estimate at 532nm. Satellite.calipso.L2_01kmCLay.ODCOD_QC_Flag_532 (-) Ocean Derived Column Optical Depth (ODCOD) quality control flags; least significant bit = bit 1 (bit; interpretation): bit 1; The fundamental time delay was shifted from the first point, bit 2; Lidar surface data too many data points for a valid surface spike, bit 3; Range bin above recorded lidar surface data added, bit 4; Range bin below recorded lidar surface data added, bit 5; The surface point ratio indicated that the first point of the surface spike is missing, bit 6; To find the time delay, the surface spike index range had to be shifted down, bit 7; The retrieval inputs fall outside of confidence ranges indicating a confident retrieval, bits 8-10; Unused, none, bit 11; No Lidar surface was found, bit 12; The surface is not ocean, bit 13; The surface is ice, bit 14; The wind speed is outside the valid range; 0.025 to 43 m/s, bit 15; The fundamental time delay found was too low and there were not enough points to find a new one, bit 16; Too few data points to solve, bit 17; The low pass filter impulse response model curve area was too large, bit 18; The low pass filter impulse response model curve scale factor could no t be found, bit 19; Lidar surface saturated, bit 20; Lidar surface has negative signal anomaly, bit 21; Lidar surface data is not valid, bit 22; Flags bad input/ancillary data, bit 23; No Lidar surface was detected via derivative method at greater than single shot resolutions, bits 24-32; Unused, none. Satellite.calipso.L2_01kmCLay.ODCOD_Surface_Wind_Speed_Correction (m/s) An additive correction derived from AMSR analysis applied to the MERRA-2 wind speed magnitude calculated from the zonal winds reported in ODCOD Surface Wind Speeds 10m. Satellite.calipso.L2_01kmCLay.ODCOD_Surface_Wind_Speeds_10m (m/s) Mean zonal and meridional component of the surface wind speed 10 meters above the surface provided by MERRA-2. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Satellite.calipso.L2_01kmCLay.Off_Nadir_Angle (deg) Angle of the lidar viewing vector; 0.3 degrees off-nadir from launch/first-light to 3.0 degrees after November 28, 2007. Satellite.calipso.L2_01kmCLay.Opacity_Flag (-) Flag that identifies a layer in which the backscatter signal becomes completely attenuated. An opacity flag of 0 indicates a transparent layer, while a value of 1 indicates an opaque layer. A layer is considered opaque if (a) it is the lowest feature detected in a column, and (b) it is not subsequently classified as a surface return. For those layers identified as opaque, the reported base altitude must be considered as an apparent base, rather than a true base. Satellite.calipso.L2_01kmCLay.Overlying_Integrated_Attenuated_Backscatter_532 (1/sr) Overlying_Integrated_Attenuated_Backscatter_532 Satellite.calipso.L2_01kmCLay.Parallel_Column_Reflectance_532 (-) Bi-directional column reflectance derived from the root-mean-square variation of the 532 nm parallel channel baseline measurements. Satellite.calipso.L2_01kmCLay.Parallel_Column_Reflectance_Uncertainty_532 (-) Column reflectance uncertainty for the 532nm parallel channel. Satellite.calipso.L2_01kmCLay.Perpendicular_Column_Reflectance_532 (-) Perpendicular_Column_Reflectance_532 Satellite.calipso.L2_01kmCLay.Perpendicular_Column_Reflectance_Uncertainty_532 (-) Perpendicular_Column_Reflectance_Uncertainty_532 Satellite.calipso.L2_01kmCLay.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L2_01kmCLay.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L2_01kmCLay.Scattering_Angle (deg) Angle between the lidar viewing angle and the line of sight of the sun. Satellite.calipso.L2_01kmCLay.Scene_Flag (-) Bit mapped flag where the following bits indicate the atmospheric feature type was detected at some resolution in the colum n; least significant bit = bit 1 (bit; interpretation): bit 1; tropospheric aerosol subtype clean marine, bit 2; tropospheric aerosol subtype dust, bit 3; tropospheric aerosol subtype polluted continental/smoke, bit 4; tropospheric aerosol subtype clean continental, bit 5; tropospheric aerosol subtype polluted dust, bit 6; tropospheric aerosol subtype elevated smoke, bit 7; tropospheric aerosol subtype dusty marine, bit 8; stratospheric aerosol subtype polar stratospheric aerosol, bit 9; stratospheric aerosol subtype volcanic ash, bit 10; stratospheric aerosol subtype sulfate, bit 11; stratospheric aerosol subtype elevated smoke bit 12; stratospheric aerosol unclassified. bit 13; On if column has ROI clouds at any resolution. bit 14; On if column has HOI clouds at any resolution. bit 15; On if column has water clouds at any resolution. bit 16; On if column has unknown phase clouds at any resolution. Satellite.calipso.L2_01kmCLay.Snow_Ice_Surface_Type (-) Snow and ice coverage for the surface at the laser footprint provided by the U.S. Airforce Weather Agency (AFWA). Values between 0 and 100 represent the percentage of ice, while 101 = permanent ice, 103 = snow, and 255 = mixed pixels at coastline. Satellite.calipso.L2_01kmCLay.Solar_Azimuth_Angle (degrees) Azimuth angle from north of the line of sight to the sun. Satellite.calipso.L2_01kmCLay.Solar_Zenith_Angle (degrees) Angle between the zenith at the lidar footprint on the surface and the line of sight to the sun. Satellite.calipso.L2_01kmCLay.Spacecraft_Position_X (km) X-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_01kmCLay.Spacecraft_Position_X (km) X-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_01kmCLay.Spacecraft_Position_Y (km) Y-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_01kmCLay.Spacecraft_Position_Z (km) Z-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_01kmCLay.Surface_1064_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 1064 to Surface Base 1064, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_01kmCLay.Surface_1064_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 1064 to Surface Base Altitude 1064, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_01kmCLay.Surface_532_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_01kmCLay.Surface_532_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_01kmCLay.Surface_Base_Altitude_1064 (km) Base altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_01kmCLay.Surface_Base_Altitude_532 (km) Base altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_01kmCLay.Surface_Detection_Flags_1064 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_01kmCLay.Surface_Detection_Flags_532 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_01kmCLay.Surface_Detections_333m_1064 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 1064nm channel. Satellite.calipso.L2_01kmCLay.Surface_Detections_333m_532 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 532nm channel. Satellite.calipso.L2_01kmCLay.Surface_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Total Attenuated Backscatter 1064nm of the surface return from Surface Top Altitude 1064 to Surface Base Altitude 1064. Satellite.calipso.L2_01kmCLay.Surface_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Total Attenuated Backscatter 532nm of the surface return from Surface Top Altitude 532 to Surface Base Altitude 1064. Satellite.calipso.L2_01kmCLay.Surface_Overlying_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Attenuated Backscatter 1064 from 40km to one range bin above Surface Top Altitude 1064. Satellite.calipso.L2_01kmCLay.Surface_Overlying_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Attenuated Backscatter 532 from 40km to one range bin above Surface Top Altitude 532. Satellite.calipso.L2_01kmCLay.Surface_Peak_Signal_1064 (/km/sr) Maximum 1064nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_01kmCLay.Surface_Peak_Signal_532 (/km/sr) Maximum 532nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_01kmCLay.Surface_Scaled_RMS_Background_1064 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 1064nm attenuated backscatter coefficient. Satellite.calipso.L2_01kmCLay.Surface_Scaled_RMS_Background_532 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 532nm attenuated backscatter coefficient. Satellite.calipso.L2_01kmCLay.Surface_Top_Altitude_1064 (km) Top altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_01kmCLay.Surface_Top_Altitude_532 (km) Top altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_01kmCLay.Tropopause_Height (km) Tropopause height. Provided by MERRA-2. Satellite.calipso.L2_01kmCLay.Tropopause_Temperature (degC) Tropopause temperature. Provided by MERRA-2. Satellite.calipso.L2_05kmALay.Column_Feature_Fraction (-) The fraction of the 5-km horizontally averaged profile, between 30-km and the DEM surface elevation, which has been identified as containing a feature (i.e., either a cloud, an aerosol, or a stratospheric layer). Satellite.calipso.L2_05kmALay.Column_IAB_Cumulative_Probability (-) The cumulative probability of measuring a total column integrated attenuated backscatter value equal to the value computed for the current profile. Satellite.calipso.L2_05kmALay.Column_Integrated_Attenuated_Backscatter_532 (1/sr) The integral with respect to altitude of the 532nm total attenuated backscatter coefficients. The limits of integration are from the onset of the backscatter signal at ~40km, down to the range bin immediately prior to the surface elevation specified by the digital elevation map (DEM). Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Cloud_532 (-) Optical depth of all clouds detected with in a 5km averaged profile, obtained by integrating the 532nm cloud extinction profile reported in the CALIPSO 5km Cloud Profile Products. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Cloud_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Cloud 532 parameter. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Stratospheric_Aerosols_1064 (-) Optical depth of all stratospheric aerosols within a 5-km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 1064nm in the CALIPSO 5 km Aerosol Profile Products. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Stratospheric_Aerosols_532 (-) Optical depth of all stratospheric aerosols within a 5-km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 532nm in the CALIPSO 5 km Aerosol Profile Products. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 1064 parameter. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 532 parameter. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Tropospheric_Aerosols_1064 (-) Optical depth of all tropospheric aerosols detected within a 5-km averaged profile, obtained by integrating the 1064nm aerosol extinction profile reported in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Tropospheric_Aerosols_532 (-) Optical depth of all tropospheric aerosols detected within a 5-km averaged profile, obtained by integrating the 532nm aerosol extinction profile reported in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Tropospheric Aerosol 1064 parameter. Satellite.calipso.L2_05kmALay.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Tropospheric Aerosol 532 parameter. Satellite.calipso.L2_05kmALay.Column_Particulate_Optical_Depth_Above_Opaque_Water_Cloud_532 (-) 532nm particulate optical depths in the vertical column above an opaque water cloud, derived according to the method detailed in Hu et al., 2007 (DOI: 10.1109/LGRS.2007.901085). Satellite.calipso.L2_05kmALay.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L2_05kmALay.Extinction_QC_Flag_1064 (-) The 1064nm extinction Quality Control flags are bit-mapped 16-bit integers, reported for each layer for which an extinction retrieval was attempted; least significant bit = bit 1 (bit; interpretation): bit 1; Retrieval, 0 = Unconstrained retrieval, initial lidar ratio unchanged during solution process, 1 = Constrained retrieval, bit 2; Initial lidar ratio reduced to achieve successful full-column solutions, bit 3; Suspicious retrieval due to layer or overlying integrated attenuated backscatter being too high or excessive lidar ratio reductions, bit 4; Initial lidar ratio has been reduced and has converged, but backscatter uncertainty solution does not exist, bit 5; Layer being analyzed has been identified by the feature finder as being totally attenuating (i.e., opaque), bit 6; Estimated optical depth error exceeds the maximum allowable value, bit 7; Negative signal anomaly detected, bit 8; Retrieval terminated at maximum iterations for a constrained retrieval, bit 9; No solution possible within allowable lidar ratio bounds, bit 10; Two-way particulate transmittance has converged but constrained retrieval still not achieved, bit 11; Backscatter coefficients not converging and maximum lidar ratio correction iterations reached, bit 12; Uncertainties not converging and maximum lidar ratio correction iterations achieved, bit 13; Lidar ratio converged but retrieval still not converging, bit 14; Range bin contains two different feature types that may have different lidar ratios, bit 15; Complex retrieval failure, bit 16; Fill value or no solution attempted. Satellite.calipso.L2_05kmALay.Extinction_QC_Flag_532 (-) The 532nm extinction Quality Control flags are bit-mapped 16-bit integers, reported for each layer for which an extinction retrieval was attempted; least significant bit = bit 1 (bit; interpretation): bit 1; Retrieval, 0 = Unconstrained retrieval, initial lidar ratio unchanged during solution process, 1 = Constrained retrieval, bit 2; Initial lidar ratio reduced to achieve successful full-column solutions, bit 3; Suspicious retrieval due to layer or overlying integrated attenuated backscatter being too high or excessive lidar ratio reductions, bit 4; Initial lidar ratio has been reduced and has converged, but backscatter uncertainty solution does not exist, bit 5; Layer being analyzed has been identified by the feature finder as being totally attenuating (i.e., opaque), bit 6; Estimated optical depth error exceeds the maximum allowable value, bit 7; Negative signal anomaly detected, bit 8; Retrieval terminated at maximum iterations for a constrained retrieval, bit 9; No solution possible within allowable lidar ratio bounds, bit 10; Two-way particulate transmittance has converged but constrained retrieval still not achieved, bit 11; Backscatter coefficients not converging and maximum lidar ratio correction iterations reached, bit 12; Uncertainties not converging and maximum lidar ratio correction iterations achieved, bit 13; Lidar ratio converged but retrieval still not converging, bit 14; Range bin contains two different feature types that may have different lidar ratios, bit 15; Complex retrieval failure, bit 16; Fill value or no solution attempted. Satellite.calipso.L2_05kmALay.FeatureFinderQC (-) To generate data at a nominal 5-km horizontal resolution requires averaging 15 consecutive single-shot laser pulses. For each 5km average a set of feature finder QC flags are reported, which are a set of 15 Boolean values that report whether or not a feature (cloud, aerosol, or surface echo) was detected in each of the 15 laser pulses. The flags are implemented as a 16-bit integer, with the most significant bit unused. Satellite.calipso.L2_05kmALay.Feature_Classification_Flags (-) For each layer detected in the CALIPSO backscatter data a feature classification flags are derived. The complete set of flags are stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): 011 bits 1-3; Feature Type, 0110 = invalid (bad or missing data), 0111 = clear air, 0112 = cloud, 0113 = tropospheric aerosol, 0114 = stratospheric aerosol, 0115 = surface, 0116 = subsurface, 0117 = no signal, bits 4-5; Feature Type QA, 011 = 0 = none, 0111 = low, 0112 = medium, 0113 = high 011 bits 6-7; Ice/Water Phase (cloud), 0110 = unknown/not determined, 0111 = ice, 0112 = water, 0113 = oriented ice crystals, bits 8-9; Ice/Water Phase QA (cloud), 0110 = none, 0111 = low, 0112 = medium, 0113 = high, 011bits 10-12; Feature Subtype (clear-air), 0110 = n/a, 0111 = not searched for features at 80km resolution, 0112 = not searched for features at 20 and 8km resolution, bits 10-12; Feature Subtype (Cloud), 0110 = low overcast, transparent, 0111 = low overcast, opaque, 0112 = transition stratocumulus, 0113 = low, broken cloud. Satellite.calipso.L2_05kmALay.Feature_Optical_Depth_1064 (-) Reports estimates of 1064nm layer optical depth. Satellite.calipso.L2_05kmALay.Feature_Optical_Depth_532 (-) Reports estimates of 532nm layer optical depth. Satellite.calipso.L2_05kmALay.Feature_Optical_Depth_Uncertainty_1064 (-) Estimated uncertainty, reported as an absolute error, in the 1064nm layer optical depth. Satellite.calipso.L2_05kmALay.Feature_Optical_Depth_Uncertainty_532 (-) Estimated uncertainty, reported as an absolute error, in the 532nm layer optical depth. Satellite.calipso.L2_05kmALay.Final_1064_Lidar_Ratio (sr) Reports the lidar ratio in use at the conclusion of the extinction processing for each layer. The final lidar ratio may be (1) the initial lidar ratio supplied by the Scene Classification Algorithms, (2) the result of modifications to this initial lidar ratio to avoid a non-physical solution, or (3) a lidar ratio determined from a measured layer transmittance. Satellite.calipso.L2_05kmALay.Final_1064_Lidar_Ratio (sr) Reports the lidar ratio in use at the conclusion of the extinction processing for each layer. The final lidar ratio may be (1) the initial lidar ratio supplied by the Scene Classification Algorithms, (2) the result of modifications to this initial lidar ratio to avoid a non-physical solution, or (3) a lidar ratio determined from a measured layer transmittance. Satellite.calipso.L2_05kmALay.Final_1064_Lidar_Ratio_Uncertainty (sr) Reports the lidar ratio uncertainty at the conclusion of the extinction processing for each layer. Satellite.calipso.L2_05kmALay.Final_532_Lidar_Ratio (sr) Reports the lidar ratio in use at the conclusion of the extinction processing for each layer. The final lidar ratio may be (1) the initial lidar ratio supplied by the Scene Classification Algorithms, (2) the result of modifications to this initial lidar ratio to avoid a non-physical solution, or (3) a lidar ratio determined from a measured layer transmittance. Satellite.calipso.L2_05kmALay.Final_532_Lidar_Ratio_Uncertainty (sr) Reports the lidar ratio uncertainty at the conclusion of the extinction processing for each layer. Satellite.calipso.L2_05kmALay.High_Resolution_Layers_Cleared (-) Bit-mapped integer identifying which single-shot resolution columns in a 5km average contain clouds detected and removed by the boundary layer cloud-clearing algorithm. The flags are implemented as a 16-bit integer, with the most significant bit unused. Satellite.calipso.L2_05kmALay.Horizontal_Averaging (km) The amount of horizontal averaging required for a feature to be detected. Satellite.calipso.L2_05kmALay.IGBP_Surface_Type (-) IGBP surface type at the laser footprint provided by the CERES/SARB surface map: 1 = Evergreen-Needleleaf-Forest, 2 = Evergreen-Broadleaf-Forest, 3 = Deciduous-Needleleaf-Forest, 4 = Deciduous-Broadleaf-Forest, 5 = Mixed-Forest, 6 = Closed-Shrubland, 7 = Open-Shrubland/Desert, 8 = Woody-Savanna, 9 = Savanna, 10 = Grassland, 11 = Wetland, 12 = Cropland, 13 = Urban, 14 = Crop-Mosaic, 15 = Permanent-Snow, 16 = Barren/Desert, 17 = Water, 18 = Tundra. Satellite.calipso.L2_05kmALay.Initial_1064_Lidar_Ratio (sr) Retrieving optical depth and profiles of extinction and backscatter coefficients from the CALIOP measurements requires an estimate of the particulate extinction-to-backscatter ratio, which in the lidar community is commonly known as the lidar ratio. These initial estimates are selected based on the type and subtype of the layer being analyzed. Satellite.calipso.L2_05kmALay.Integrated_Attenuated_Backscatter_1064 (1/sr) The 1064nm integrated attenuated backscatter (IAB) computed for each layer. Satellite.calipso.L2_05kmALay.Integrated_Attenuated_Backscatter_532 (1/sr) The 532 nm integrated attenuated backscatter (IAB) computed for each layer after correcting the backscatter signal for 532nm attenuation by any overlying layers. Satellite.calipso.L2_05kmALay.Integrated_Attenuated_Backscatter_Uncertainty_1064 (1/sr) The uncertainties reported for the 1064nm integrated attenuated backscatters, which provide an estimate of the random error in the backscatter signal. Satellite.calipso.L2_05kmALay.Integrated_Attenuated_Backscatter_Uncertainty_532 (1/sr) Estimated uncertainties the 532 nm integrated attenuated backscatter values. These uncertainties quantify the random error in the integral of the attenuation-corrected 532nm backscatter signal. Satellite.calipso.L2_05kmALay.Integrated_Attenuated_Total_Color_Ratio (-) Integrated attenuated total color ratio computed for each layer. Satellite.calipso.L2_05kmALay.Integrated_Attenuated_Total_Color_Ratio_Uncertainty (-) Integrated_Attenuated_Total_Color_Ratio_Uncertainty Satellite.calipso.L2_05kmALay.Integrated_Particulate_Color_Ratio (-) The integrated particulate color ratio derived from ratio of the particulate backscatter coefficients at 532nm and 1064nm, each summed over the vertical extent of the layer. Satellite.calipso.L2_05kmALay.Integrated_Particulate_Color_Ratio_Uncertainty (-) Uncertainty associated with the estimate of the layer-integrated particulate backscatter color ratio, calculated by first integrating the uncertainties for the particulate backscatter coefficients measured at each wavelength, and then applying standard techniques for error propagation in ratioed quantities. Satellite.calipso.L2_05kmALay.Integrated_Particulate_Depolarization_Ratio (-) Layer-integrated particulate depolarization ratio. The particulate depolarization ratio represents the contribution to the volume depolarization ratio that is due only to the cloud and/or aerosol particles within the layer. Satellite.calipso.L2_05kmALay.Integrated_Particulate_Depolarization_Ratio_Uncertainty (-) Uncertainty associated with the estimate of the layer-integrated particulate depolarization ratio, calculated by integrating the uncertainties for the particulate backscatter coefficients measured in the 532nm parallel and perpendicular channels, and then applying standard techniques for error propagation in ratioed quantities. Satellite.calipso.L2_05kmALay.Integrated_Volume_Depolarization_Ratio (-) The layer integrated 532 nm volume depolarization ratio (IVDR) computed for each layer. The quality of the estimate for IVDR is determined by the accuracy of the top and base identification, the reliability of the polarization gain ratio calibration, and by the signal-to-noise ratio (SNR) of the backscatter data within the layer. Satellite.calipso.L2_05kmALay.Integrated_Volume_Depolarization_Ratio_Uncertainty (-) The uncertainties reported for the 532nm layer-integrated volume depolarization ratios provide an estimate of the total random error in the combined backscatter signals. Satellite.calipso.L2_05kmALay.Layer_Base_Altitude (km) Base of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_05kmALay.Layer_Base_Extended (-) A non-zero value indicates that the base of the layer has been extended from the initial altitude assigned by the layer detection algorithm to a new, lower altitude lying three range bins (90 m) above the Earth surface. Non-zero values represent the layer feature classification flags prior to the base being extended. Satellite.calipso.L2_05kmALay.Layer_Base_Pressure (hPa) Pressure at the layer base altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmALay.Layer_Base_Temperature (degC) Temperature at the layer base altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmALay.Layer_Effective_1064_Multiple_Scattering_Factor (-) The layer effective 1064 nm multiple scattering factor corresponds to the limit of single scattering only, with smaller values indicating increasing contributions to the backscatter signal from multiple scattering. Satellite.calipso.L2_05kmALay.Layer_Effective_532_Multiple_Scattering_Factor (-) The layer effective 532 nm multiple scattering factor corresponds to the limit of single scattering only, with smaller values indicating increasing contributions to the backscatter signal from multiple scattering. Satellite.calipso.L2_05kmALay.Layer_Top_Pressure (hPa) Pressure at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmALay.Layer_Top_Temperature (degC) Temperature at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmALay.Lidar_Ratio_1064_Selection_Method (-) Specifies the internal procedure used to select the initial lidar ratio for each layer:, - not determined, - Transmittance Method, constrained retrieval, - Opaque Layer Method, based on opaque clouds or aerosols, - Cirrus Temperature Method, unconstrained ice clouds, - Unknown Cloud Phase, unconstrained unknown phase clouds with centroid temperature between -37 and 0 degrees C, - Fixed Layer Method, unconstrained water clouds and aerosols, - Solution at 532nm Method, unconstrained 1064 nm cloud only when 532 nm extinction solution is available, - MAC Table Interpolation, unconstrained aerosol using MAC interpolated lookup table. Satellite.calipso.L2_05kmALay.Lidar_Ratio_532_Selection_Method (-) Specifies the internal procedure used to select the initial lidar ratio for each layer: - not determined, - Transmittance Method, constrained retrieval, - Opaque Layer Method, based on opaque clouds or aerosols, - Cirrus Temperature Method, unconstrained ice clouds, - Unknown Cloud Phase, unconstrained unknown phase clouds with centroid temperature between -37 and 0 degrees C, - Fixed Layer Method, unconstrained water clouds and aerosols, - Solution at 532nm Method, unconstrained 1064 nm cloud only when 532 nm extinction solution is available\012\0117 - MAC Table Interpolation, unconstrained aerosol using MAC interpolated lookup table. Satellite.calipso.L2_05kmALay.Low_Energy_Mitigation_Column_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each column; least significant bit = bit 1 (bit; interpretation): bit 1; Column contains LEM affected data (data has been rejected or low energy shots that LEM accepts, bit 2; Column belongs to a 5km resolution frame that has been rejected due to too many unusable profiles, bit 3; Column belongs to a 5 km resolution frame that has been rejected due to too many rejected subregions in altitude region 3, bit 4; Column belongs to a 5km resolution frame that has been rejected due to too many rejected subregions in altitude region 4, bit 5; Feature detection at 20km resolution not performed in this column due to insufficient fraction of usable 5km resolution frames, bit 6; Feature detection at 80 km resolution not performed in this column due to insufficient fraction of usable 5 km resolution frames, bits 7-16; Unused. Satellite.calipso.L2_05kmALay.Low_Energy_Mitigation_Feature_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each layer detected (flag - interpretation): 0 - No low energy shots affecting the layer, 1 - Some portion of the layer contains low energy shots and/or data rejected by the LEM algorithm Satellite.calipso.L2_05kmALay.Measured_Two_Way_Transmittance_532 (-) Provides the measured value of the layer two-way transmittance, derived by computing the ratio of the mean attenuated scattering ratios in the "clear air" regions immediately below and above the layer, for isolated transparent layers. Satellite.calipso.L2_05kmALay.Measured_Two_Way_Transmittance_Uncertainty_532 (-) The relative error in the two-way transmittance measurement, calculated using standard techniques for error propagation in ratioed quantities. Satellite.calipso.L2_05kmALay.Midlayer_Pressure (hPa) Pressure at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmALay.Midlayer_Temperature (degC) Temperature at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmALay.Minimum_Laser_Energy_532 (J) Minimum laser energy at 532 nm measured within each 80 km along-track data segment (80km = 240 single-shot laser pulses). The 80km distance matches the largest horizontal extent considered in CALIOP standard level 2 data analyses. Satellite.calipso.L2_05kmALay.Normalization_Constant_Uncertainty (-) Uncertainty, reported as a relative error, in the 532nm and 1064nm calibration constants due solely to random error in the backscatter measurements in the calibration region. Satellite.calipso.L2_05kmALay.Number_Layers_Found (-) The number of cloud layers found in a column. The merged 5km layer product reports layers detected at multiple averaging resolutions (5km, 20km, and 80km). Because the reporting resolution (5-km) is not always identical to the detection resolution, layers may appear to overlap in the vertical dimension. Satellite.calipso.L2_05kmALay.ODCOD_Effective_Optical_Depth_532 (-) Column estimate of apparent (multiple scattering effects not accounted for) optical depth at 532nm wavelength for all particulate (clouds and aerosols) within the illuminated volume from just above the lidar detected ocean surface to the CALIPSO top of atmosphere. Satellite.calipso.L2_05kmALay.ODCOD_Effective_Optical_Depth_532_Uncertainty (-) An analytical estimate of the absolute standard deviation uncertainty in the ODCOD Effective Optical Depth estimate at 532nm. Satellite.calipso.L2_05kmALay.ODCOD_QC_Flag_532 (-) Ocean Derived Column Optical Depth (ODCOD) quality control flags; least significant bit = bit 1 (bit; interpretation): bit 1; The fundamental time delay was shifted from the first point, bit 2; Lidar surface data too many data points for a valid surface spike, bit 3; Range bin above recorded lidar surface data added, bit 4; Range bin below recorded lidar surface data added, bit 5; The surface point ratio indicated that the first point of the surface spike is missing, bit 6; To find the time delay, the surface spike index range had to be shifted down, bit 7; The retrieval inputs fall outside of confidence ranges indicating a confident retrieval, bits 8-10; Unused, none, bit 11; No Lidar surface was found, bit 12; The surface is not ocean, bit 13; The surface is ice, bit 14; The wind speed is outside the valid range; 0.025 to 43 m/s, bit 15; The fundamental time delay found was too low and there were not enough points to find a new one, bit 16; Too few data points to solve, bit 17; The low pass filter impulse response model curve area was too large, bit 18; The low pass filter impulse response model curve scale factor could no t be found, bit 19; Lidar surface saturated, bit 20; Lidar surface has negative signal anomaly, bit 21; Lidar surface data is not valid, bit 22; Flags bad input/ancillary data, bit 23; No Lidar surface was detected via derivative method at greater than single shot resolutions, bits 24-32; Unused, none. Satellite.calipso.L2_05kmALay.ODCOD_Surface_Wind_Speed_Correction (m/s) An additive correction derived from AMSR analysis applied to the MERRA-2 wind speed magnitude calculated from the zonal winds reported in ODCOD Surface Wind Speeds 10m. Satellite.calipso.L2_05kmALay.ODCOD_Surface_Wind_Speeds_10m (m/s) Mean zonal and meridional component of the surface wind speed 10 meters above the surface provided by MERRA-2. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Satellite.calipso.L2_05kmALay.Off_Nadir_Angle (deg) Angle of the lidar viewing vector; 0.3 degrees off-nadir from launch/first-light to 3.0 degrees after November 28, 2007. Satellite.calipso.L2_05kmALay.Opacity_Flag (-) Flag that identifies a layer in which the backscatter signal becomes completely attenuated. An opacity flag of 0 indicates a transparent layer, while a value of 1 indicates an opaque layer. A layer is considered opaque if (a) it is the lowest feature detected in a column, and (b) it is not subsequently classified as a surface return. For those layers identified as opaque, the reported base altitude must be considered as an apparent base, rather than a true base. Satellite.calipso.L2_05kmALay.Overlying_Integrated_Attenuated_Backscatter_532 (1/sr) Overlying_Integrated_Attenuated_Backscatter_532 Satellite.calipso.L2_05kmALay.Parallel_Column_Reflectance_532 (-) Bi-directional column reflectance derived from the root-mean-square variation of the 532 nm parallel channel baseline measurements. Satellite.calipso.L2_05kmALay.Parallel_Column_Reflectance_Uncertainty_532 (-) Column reflectance uncertainty for the 532nm parallel channel. Satellite.calipso.L2_05kmALay.Perpendicular_Column_Reflectance_532 (-) Perpendicular_Column_Reflectance_532 Satellite.calipso.L2_05kmALay.Perpendicular_Column_Reflectance_Uncertainty_532 (-) Perpendicular_Column_Reflectance_Uncertainty_532 Satellite.calipso.L2_05kmALay.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L2_05kmALay.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L2_05kmALay.Relative_Humidity (%) Relative humidity, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L2_05kmALay.Scattering_Angle (deg) Angle between the lidar viewing angle and the line of sight of the sun. Satellite.calipso.L2_05kmALay.Scene_Flag (-) Bit mapped flag where the following bits indicate the atmospheric feature type was detected at some resolution in the colum n; least significant bit = bit 1 (bit; interpretation): bit 1; tropospheric aerosol subtype clean marine, bit 2; tropospheric aerosol subtype dust, bit 3; tropospheric aerosol subtype polluted continental/smoke, bit 4; tropospheric aerosol subtype clean continental, bit 5; tropospheric aerosol subtype polluted dust, bit 6; tropospheric aerosol subtype elevated smoke, bit 7; tropospheric aerosol subtype dusty marine, bit 8; stratospheric aerosol subtype polar stratospheric aerosol, bit 9; stratospheric aerosol subtype volcanic ash, bit 10; stratospheric aerosol subtype sulfate, bit 11; stratospheric aerosol subtype elevated smoke bit 12; stratospheric aerosol unclassified. bit 13; On if column has ROI clouds at any resolution. bit 14; On if column has HOI clouds at any resolution. bit 15; On if column has water clouds at any resolution. bit 16; On if column has unknown phase clouds at any resolution. Satellite.calipso.L2_05kmALay.Single_Shot_Cloud_Cleared_Fraction (-) Layers detected in the planetary boundary layer (PBL) are subjected to an additional cloud clearing procedure to separate small-scale boundary layer clouds from any surrounding PBL aerosols at the highest possible spatial resolution (i.e., single shot data). The single shot cloud cleared fraction reports the fraction of the nominal layer area (i.e., horizontal averaging distance times layer height) that was removed by the cloud clearing process. Satellite.calipso.L2_05kmALay.Smoke_Layer_Base_Extended_QC_Flag (-) Flag used to identify aerosol layers which are candidates for smoke layer base extension, and, if selected, if the extension was successful; least significant bit = bit 1 (bit; interpretation): 1; Candidate for smoke layer extension, 2; Success, smoke layer extended, 3; Failed, smoke layer base already in contact with a cloud layer, 4; Failed, no cloud layer is found below the smoke layer, 5; Failed, gap distance between smoke ad cloud layer exceeds limit, 6; Failed, 1064nm scattering ratio test is below threshold, 7; Failed, cloud color ratio test is below threshold. Satellite.calipso.L2_05kmALay.Snow_Ice_Surface_Type (-) Snow and ice coverage for the surface at the laser footprint provided by the U.S. Airforce Weather Agency (AFWA). Values between 0 and 100 represent the percentage of ice, while 101 = permanent ice, 103 = snow, and 255 = mixed pixels at coastline. Satellite.calipso.L2_05kmALay.Solar_Azimuth_Angle (degrees) Azimuth angle from north of the line of sight to the sun. Satellite.calipso.L2_05kmALay.Solar_Zenith_Angle (degrees) Angle between the zenith at the lidar footprint on the surface and the line of sight to the sun. Satellite.calipso.L2_05kmALay.Spacecraft_Position_X (km) X-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_05kmALay.Spacecraft_Position_Y (km) Y-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_05kmALay.Spacecraft_Position_Z (km) Z-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_05kmALay.Surface_1064_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 1064 to Surface Base 1064, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmALay.Surface_1064_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 1064 to Surface Base Altitude 1064, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmALay.Surface_532_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmALay.Surface_532_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmALay.Surface_Base_Altitude_1064 (km) Base altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmALay.Surface_Base_Altitude_532 (km) Base altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmALay.Surface_Detection_Flags_1064 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmALay.Surface_Detection_Flags_532 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmALay.Surface_Detections_333m_1064 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 1064nm channel. Satellite.calipso.L2_05kmALay.Surface_Detections_333m_532 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 532nm channel. Satellite.calipso.L2_05kmALay.Surface_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Total Attenuated Backscatter 1064nm of the surface return from Surface Top Altitude 1064 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmALay.Surface_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Total Attenuated Backscatter 532nm of the surface return from Surface Top Altitude 532 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmALay.Surface_Overlying_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Attenuated Backscatter 1064 from 40km to one range bin above Surface Top Altitude 1064. Satellite.calipso.L2_05kmALay.Surface_Overlying_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Attenuated Backscatter 532 from 40km to one range bin above Surface Top Altitude 532. Satellite.calipso.L2_05kmALay.Surface_Peak_Signal_1064 (/km/sr) Maximum 1064nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmALay.Surface_Peak_Signal_532 (/km/sr) Maximum 532nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmALay.Surface_Scaled_RMS_Background_1064 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 1064nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmALay.Surface_Scaled_RMS_Background_532 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 532nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmALay.Surface_Top_Altitude_1064 (km) Top altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmALay.Surface_Top_Altitude_532 (km) Top altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmALay.Tropopause_Height (km) Tropopause height. Provided by MERRA-2. Satellite.calipso.L2_05kmALay.Tropopause_Temperature (degC) Tropopause temperature. Provided by MERRA-2. Satellite.calipso.L2_05kmALay.Unique_Layer_ID (-) Unique number for each layer detected at Satellite.calipso.L2_05kmAPro.Aerosol_Layer_Fraction (-) Aerosol_Layer_Fraction Satellite.calipso.L2_05kmAPro.Aerosol_Multiple_Scattering_Profile_1064 (-) Aerosol_Multiple_Scattering_Profile_1064 Satellite.calipso.L2_05kmAPro.Aerosol_Multiple_Scattering_Profile_532 (-) Aerosol_Multiple_Scattering_Profile_532 Satellite.calipso.L2_05kmAPro.Atmospheric_Volume_Description (-) Atmospheric_Volume_Description Satellite.calipso.L2_05kmAPro.Backscatter_Coefficient_1064 (sr^-1km^-1) Backscatter_Coefficient_1064 Satellite.calipso.L2_05kmAPro.Backscatter_Coefficient_Uncertainty_1064 (sr^-1km^-1) Backscatter_Coefficient_Uncertainty_1064 Satellite.calipso.L2_05kmAPro.Cloud_Layer_Fraction (-) Cloud_Layer_Fraction Satellite.calipso.L2_05kmAPro.Column_Feature_Fraction (-) The fraction of the 5-km horizontally averaged profile, between 30km and the DEM surface elevation, which has been identified as containing a feature (i.e., either a cloud, an aerosol, or a stratospheric layer). Satellite.calipso.L2_05kmAPro.Column_IAB_Cumulative_Probability (-) The cumulative probability of measuring a total column integrated attenuated backscatter value equal to the value computed for the current profile. Satellite.calipso.L2_05kmAPro.Column_Integrated_Attenuated_Backscatter_532 (sr^-1) The integral with respect to altitude of the 532nm total attenuated backscatter coefficients. The limits of integration are from the onset of the backscatter signal at ~40 km, down to the range bin immediately prior to the surface elevation specified by the digital elevation map (DEM). Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Cloud_532 (-) Column_Optical_Depth_Cloud_532 Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Cloud_Uncertainty_532 (-) Column_Optical_Depth_Cloud_Uncertainty_532 Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Stratospheric_Aerosols_1064 (-) Optical depth of all stratospheric aerosols within a 5-km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 1064nm in the CALIPSO 5 km Aerosol Profile Products. Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Stratospheric_Aerosols_532 (-) Optical depth of all stratospheric aerosols within a 5-km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 532nm in the CALIPSO 5 km Aerosol Profile Products. Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 1064 parameter. Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 532 parameter. Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Tropospheric_Aerosols_1064 (-) Optical depth of all tropospheric aerosols detected within a 5-km averaged profile, obtained by integrating the 1064nm aerosol extinction profile reported in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Tropospheric_Aerosols_532 (-) Optical depth of all tropospheric aerosols detected within a 5-km averaged profile, obtained by integrating the 532nm aerosol extinction profile reported in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Tropospheric Aerosol 1064 parameter. Satellite.calipso.L2_05kmAPro.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Tropospheric Aerosol 532 parameter. Satellite.calipso.L2_05kmAPro.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L2_05kmAPro.Extinction_Coefficient_1064 (km^-1) Particulate 1064nm extinction coefficients reported for each profile range bin in which the appropriate particulates were detected. Satellite.calipso.L2_05kmAPro.Extinction_Coefficient_532 (km^-1) Particulate 532nm extinction coefficients reported for each profile range bin in which the appropriate particulates were detected. Satellite.calipso.L2_05kmAPro.Extinction_Coefficient_Uncertainty_1064 (km^-1) Uncertainties reported for the particulate 1064nm extinction coefficients for each profile range bin. Satellite.calipso.L2_05kmAPro.Extinction_Coefficient_Uncertainty_532 (km^-1) Uncertainties reported for the particulate 532nm extinction coefficients for each profile range bin. Satellite.calipso.L2_05kmAPro.Extinction_QC_Flag_1064 (-) The 1064nm extinction Quality Control flags are bit-mapped 16-bit integers, reported for each layer for which an extinction retrieval was attempted; least significant bit = bit 1 (bit; interpretation): bit 1; Retrieval, 0 = Unconstrained retrieval, initial lidar ratio unchanged during solution process, 1 = Constrained retrieval, bit 2; Initial lidar ratio reduced to achieve successful full-column solutions, bit 3; Suspicious retrieval due to layer or overlying integrated attenuated backscatter being too high or excessive lidar ratio reductions, bit 4; Initial lidar ratio has been reduced and has converged, but backscatter uncertainty solution does not exist, bit 5; Layer being analyzed has been identified by the feature finder as being totally attenuating (i.e., opaque), bit 6; Estimated optical depth error exceeds the maximum allowable value, bit 7; Negative signal anomaly detected, bit 8; Retrieval terminated at maximum iterations for a constrained retrieval, bit 9; No solution possible within allowable lidar ratio bounds, bit 10; Two-way particulate transmittance has converged but constrained retrieval still not achieved, bit 11; Backscatter coefficients not converging and maximum lidar ratio correction iterations reached, bit 12; Uncertainties not converging and maximum lidar ratio correction iterations achieved, bit 13; Lidar ratio converged but retrieval still not converging, bit 14; Range bin contains two different feature types that may have different lidar ratios, bit 15; Complex retrieval failure, bit 16; Fill value or no solution attempted. Satellite.calipso.L2_05kmAPro.Extinction_QC_Flag_532 (-) The 532nm extinction Quality Control flags are bit-mapped 16-bit integers, reported for each layer for which an extinction retrieval was attempted; least significant bit = bit 1 (bit; interpretation): bit 1; Retrieval, 0 = Unconstrained retrieval, initial lidar ratio unchanged during solution process, 1 = Constrained retrieval, bit 2; Initial lidar ratio reduced to achieve successful full-column solutions, bit 3; Suspicious retrieval due to layer or overlying integrated attenuated backscatter being too high or excessive lidar ratio reductions, bit 4; Initial lidar ratio has been reduced and has converged, but backscatter uncertainty solution does not exist, bit 5; Layer being analyzed has been identified by the feature finder as being totally attenuating (i.e., opaque), bit 6; Estimated optical depth error exceeds the maximum allowable value, bit 7; Negative signal anomaly detected, bit 8; Retrieval terminated at maximum iterations for a constrained retrieval, bit 9; No solution possible within allowable lidar ratio bounds, bit 10; Two-way particulate transmittance has converged but constrained retrieval still not achieved, bit 11; Backscatter coefficients not converging and maximum lidar ratio correction iterations reached, bit 12; Uncertainties not converging and maximum lidar ratio correction iterations achieved, bit 13; Lidar ratio converged but retrieval still not converging, bit 14; Range bin contains two different feature types that may have different lidar ratios, bit 15; Complex retrieval failure, bit 16; Fill value or no solution attempted. Satellite.calipso.L2_05kmAPro.IGBP_Surface_Type (-) IGBP surface type at the laser footprint provided by the CERES/SARB surface map: 1 = Evergreen-Needleleaf-Forest, 2 = Evergreen-Broadleaf-Forest, 3 = Deciduous-Needleleaf-Forest, 4 = Deciduous-Broadleaf-Forest, 5 = Mixed-Forest, 6 = Closed-Shrubland, 7 = Open-Shrubland/Desert, 8 = Woody-Savanna, 9 = Savanna, 10 = Grassland, 11 = Wetland, 12 = Cropland, 13 = Urban, 14 = Crop-Mosaic, 15 = Permanent-Snow, 16 = Barren/Desert, 17 = Water, 18 = Tundra. Satellite.calipso.L2_05kmAPro.Low_Energy_Mitigation_Feature_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each layer detected (flag - interpretation): 0 - No low energy shots affecting the layer, 1 - Some portion of the layer contains low energy shots and/or data rejected by the LEM algorithm Satellite.calipso.L2_05kmAPro.Minimum_Laser_Energy_532 (J) Minimum laser energy at 532 nm measured within each 80 km along-track data segment (80km = 240 single-shot laser pulses). The 80km distance matches the largest horizontal extent considered in CALIOP standard level 2 data analyses. Satellite.calipso.L2_05kmAPro.Molecular_Number_Density (m^-3) Mean molecular number density reported for the midpoint of each range bin in the profile; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmAPro.ODCOD_Effective_Optical_Depth_532 (-) Column estimate of apparent (multiple scattering effects not accounted for) optical depth at 532nm wavelength for all particulate (clouds and aerosols) within the illuminated volume from just above the lidar detected ocean surface to the CALIPSO top of atmosphere. Satellite.calipso.L2_05kmAPro.ODCOD_Effective_Optical_Depth_532_Uncertainty (-) An analytical estimate of the absolute standard deviation uncertainty in the ODCOD Effective Optical Depth estimate at 532nm. Satellite.calipso.L2_05kmAPro.ODCOD_QC_Flag_532 (-) Ocean Derived Column Optical Depth (ODCOD) quality control flags; least significant bit = bit 1 (bit; interpretation): bit 1; The fundamental time delay was shifted from the first point, bit 2; Lidar surface data too many data points for a valid surface spike, bit 3; Range bin above recorded lidar surface data added, bit 4; Range bin below recorded lidar surface data added, bit 5; The surface point ratio indicated that the first point of the surface spike is missing, bit 6; To find the time delay, the surface spike index range had to be shifted down, bit 7; The retrieval inputs fall outside of confidence ranges indicating a confident retrieval, bits 8-10; Unused, none, bit 11; No Lidar surface was found, bit 12; The surface is not ocean, bit 13; The surface is ice, bit 14; The wind speed is outside the valid range; 0.025 to 43 m/s, bit 15; The fundamental time delay found was too low and there were not enough points to find a new one, bit 16; Too few data points to solve, bit 17; The low pass filter impulse response model curve area was too large, bit 18; The low pass filter impulse response model curve scale factor could no t be found, bit 19; Lidar surface saturated, bit 20; Lidar surface has negative signal anomaly, bit 21; Lidar surface data is not valid, bit 22; Flags bad input/ancillary data, bit 23; No Lidar surface was detected via derivative method at greater than single shot resolutions, bits 24-32; Unused, none. Satellite.calipso.L2_05kmAPro.ODCOD_Surface_Wind_Speed_Correction (m/s) An additive correction derived from AMSR analysis applied to the MERRA-2 wind speed magnitude calculated from the zonal winds reported in ODCOD Surface Wind Speeds 10m. Satellite.calipso.L2_05kmAPro.ODCOD_Surface_Wind_Speeds_10m (m/s) Mean zonal and meridional component of the surface wind speed 10 meters above the surface provided by MERRA-2. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Satellite.calipso.L2_05kmAPro.Ozone_Number_Density (molecules/m3) Ozone number density, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L2_05kmAPro.Particulate_Depolarization_Ratio_Profile_532 (-) Particulate_Depolarization_Ratio_Profile_532 Satellite.calipso.L2_05kmAPro.Particulate_Depolarization_Ratio_Uncertainty_532 (-) Particulate_Depolarization_Ratio_Uncertainty_532 Satellite.calipso.L2_05kmAPro.Perpendicular_Backscatter_Coefficient_532 (sr^-1km^-1) Perpendicular_Backscatter_Coefficient_532 Satellite.calipso.L2_05kmAPro.Perpendicular_Backscatter_Coefficient_Uncertainty_532 (sr^-1km^-1) Perpendicular_Backscatter_Coefficient_Uncertainty_532 Satellite.calipso.L2_05kmAPro.Pressure (hPa) Mean pressure reported for the midpoint of each range bin in the profile; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmAPro.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L2_05kmAPro.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L2_05kmAPro.Relative_Humidity (%) Relative humidity, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L2_05kmAPro.Surface_1064_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 1064 to Surface Base 1064, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmAPro.Surface_1064_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 1064 to Surface Base Altitude 1064, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmAPro.Surface_532_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmAPro.Surface_532_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmAPro.Surface_Base_Altitude_1064 (km) Base altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmAPro.Surface_Base_Altitude_532 (km) Base altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmAPro.Surface_Detection_Flags_1064 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmAPro.Surface_Detection_Flags_532 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmAPro.Surface_Detections_1km_1064 (-) Number of 1km resolution profiles within each 5 km resolution profile where surface was detected for the 1064nm channel. Satellite.calipso.L2_05kmAPro.Surface_Detections_1km_532 (-) Number of 1km resolution profiles within each 5 km resolution profile where surface was detected for the 532nm channel. Satellite.calipso.L2_05kmAPro.Surface_Detections_333m_1064 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 1064nm channel. Satellite.calipso.L2_05kmAPro.Surface_Detections_333m_532 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 532nm channel. Satellite.calipso.L2_05kmAPro.Surface_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Total Attenuated Backscatter 1064nm of the surface return from Surface Top Altitude 1064 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmAPro.Surface_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Total Attenuated Backscatter 532nm of the surface return from Surface Top Altitude 532 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmAPro.Surface_Overlying_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Attenuated Backscatter 1064 from 40km to one range bin above Surface Top Altitude 1064. Satellite.calipso.L2_05kmAPro.Surface_Overlying_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Attenuated Backscatter 532 from 40km to one range bin above Surface Top Altitude 532. Satellite.calipso.L2_05kmAPro.Surface_Peak_Signal_1064 (/km/sr) Maximum 1064nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmAPro.Surface_Peak_Signal_532 (/km/sr) Maximum 532nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmAPro.Surface_Scaled_RMS_Background_1064 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 1064nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmAPro.Surface_Scaled_RMS_Background_532 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 532nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmAPro.Surface_Top_Altitude_1064 (km) Top altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmAPro.Surface_Top_Altitude_532 (km) Top altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmAPro.Surface_Wind_Speeds_02m (m/s) Surface wind speeds measured 2m above the Earth surface. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Provided by MERRA-2. Satellite.calipso.L2_05kmAPro.Surface_Wind_Speeds_10m (m/s) Surface wind speeds measured 10m above the Earth surface. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Provided by MERRA-2. Satellite.calipso.L2_05kmAPro.Temperature (degC) Temperature, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L2_05kmAPro.Total_Backscatter_Coefficient_532 (sr^-1km^-1) Total_Backscatter_Coefficient_532 Satellite.calipso.L2_05kmAPro.Total_Backscatter_Coefficient_Uncertainty_532 (sr^-1km^-1) Total_Backscatter_Coefficient_Uncertainty_532 Satellite.calipso.L2_05kmAPro.Tropopause_Height (km) Tropopause height. Provided by MERRA-2. Satellite.calipso.L2_05kmAPro.Tropopause_Temperature (degC) Tropopause temperature. Provided by MERRA-2. Satellite.calipso.L2_05kmAPro.Unique_Layer_ID (-) Unique number for each layer detected at 5-km or coarser resolution. Satellite.calipso.L2_05kmAProy.Low_Energy_Mitigation_Column_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each column; least significant bit = bit 1 (bit; interpretation): bit 1; Column contains LEM affected data (data has been rejected or low energy shots that LEM accepts, bit 2; Column belongs to a 5km resolution frame that has been rejected due to too many unusable profiles, bit 3; Column belongs to a 5 km resolution frame that has been rejected due to too many rejected subregions in altitude region 3, bit 4; Column belongs to a 5km resolution frame that has been rejected due to too many rejected subregions in altitude region 4, bit 5; Feature detection at 20km resolution not performed in this column due to insufficient fraction of usable 5km resolution frames, bit 6; Feature detection at 80 km resolution not performed in this column due to insufficient fraction of usable 5 km resolution frames, bits 7-16; Unused. Satellite.calipso.L2_05kmCLay.Column_Feature_Fraction (-) The fraction of the 5-km horizontally averaged profile, between 30-km and the DEM surface elevation, which has been identified as containing a feature (i.e., either a cloud, an aerosol, or a stratospheric layer). Satellite.calipso.L2_05kmCLay.Column_IAB_Cumulative_Probability (-) The cumulative probability of measuring a total column integrated attenuated backscatter value equal to the value computed for the current profile. Satellite.calipso.L2_05kmCLay.Column_Integrated_Attenuated_Backscatter_532 (1/sr) The integral with respect to altitude of the 532nm total attenuated backscatter coefficients. The limits of integration are from the onset of the backscatter signal at ~40km, down to the range bin immediately prior to the surface elevation specified by the digital elevation map (DEM). Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Cloud_532 (-) Optical depth of all clouds detected with in a 5km averaged profile, obtained by integrating the 532nm cloud extinction profile reported in the CALIPSO 5km Cloud Profile Products. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Cloud_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Cloud 532 parameter. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Stratospheric_Aerosols_1064 (-) Optical depth of all stratospheric aerosols within a 5-km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 1064nm in the CALIPSO 5 km Aerosol Profile Products. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Stratospheric_Aerosols_532 (-) Optical depth of all stratospheric aerosols within a 5-km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 532nm in the CALIPSO 5 km Aerosol Profile Products. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 1064 parameter. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 532 parameter. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Tropospheric_Aerosols_1064 (-) Optical depth of all tropospheric aerosols detected within a 5-km averaged profile, obtained by integrating the 1064nm aerosol extinction profile reported in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Tropospheric_Aerosols_532 (-) Optical depth of all tropospheric aerosols detected within a 5-km averaged profile, obtained by integrating the 532nm aerosol extinction profile reported in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Tropospheric Aerosol 1064 parameter. Satellite.calipso.L2_05kmCLay.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Tropospheric Aerosol 532 parameter. Satellite.calipso.L2_05kmCLay.Column_Particulate_Optical_Depth_Above_Opaque_Water_Cloud_532 (-) 532nm particulate optical depths in the vertical column above an opaque water cloud, derived according to the method detailed in Hu et al., 2007 (DOI: 10.1109/LGRS.2007.901085). Satellite.calipso.L2_05kmCLay.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L2_05kmCLay.Extinction_QC_Flag_532 (-) The 532nm extinction Quality Control flags are bit-mapped 16-bit integers, reported for each layer for which an extinction retrieval was attempted; least significant bit = bit 1 (bit; interpretation): bit 1; Retrieval, 0 = Unconstrained retrieval, initial lidar ratio unchanged during solution process, 1 = Constrained retrieval, bit 2; Initial lidar ratio reduced to achieve successful full-column solutions, bit 3; Suspicious retrieval due to layer or overlying integrated attenuated backscatter being too high or excessive lidar ratio reductions, bit 4; Initial lidar ratio has been reduced and has converged, but backscatter uncertainty solution does not exist, bit 5; Layer being analyzed has been identified by the feature finder as being totally attenuating (i.e., opaque), bit 6; Estimated optical depth error exceeds the maximum allowable value, bit 7; Negative signal anomaly detected, bit 8; Retrieval terminated at maximum iterations for a constrained retrieval, bit 9; No solution possible within allowable lidar ratio bounds, bit 10; Two-way particulate transmittance has converged but constrained retrieval still not achieved, bit 11; Backscatter coefficients not converging and maximum lidar ratio correction iterations reached, bit 12; Uncertainties not converging and maximum lidar ratio correction iterations achieved, bit 13; Lidar ratio converged but retrieval still not converging, bit 14; Range bin contains two different feature types that may have different lidar ratios, bit 15; Complex retrieval failure, bit 16; Fill value or no solution attempted. Satellite.calipso.L2_05kmCLay.FeatureFinderQC (-) To generate data at a nominal 5-km horizontal resolution requires averaging 15 consecutive single-shot laser pulses. For each 5km average a set of feature finder QC flags are reported, which are a set of 15 Boolean values that report whether or not a feature (cloud, aerosol, or surface echo) was detected in each of the 15 laser pulses. The flags are implemented as a 16-bit integer, with the most significant bit unused. Satellite.calipso.L2_05kmCLay.Feature_Classification_Flags (-) For each layer detected in the CALIPSO backscatter data a feature classification flags are derived. The complete set of flags are stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): 011 bits 1-3; Feature Type, 0110 = invalid (bad or missing data), 0111 = clear air, 0112 = cloud, 0113 = tropospheric aerosol, 0114 = stratospheric aerosol, 0115 = surface, 0116 = subsurface, 0117 = no signal, bits 4-5; Feature Type QA, 011 = 0 = none, 0111 = low, 0112 = medium, 0113 = high 011 bits 6-7; Ice/Water Phase (cloud), 0110 = unknown/not determined, 0111 = ice, 0112 = water, 0113 = oriented ice crystals, bits 8-9; Ice/Water Phase QA (cloud), 0110 = none, 0111 = low, 0112 = medium, 0113 = high, 011bits 10-12; Feature Subtype (clear-air), 0110 = n/a, 0111 = not searched for features at 80km resolution, 0112 = not searched for features at 20 and 8km resolution, bits 10-12; Feature Subtype (Cloud), 0110 = low overcast, transparent, 0111 = low overcast, opaque, 0112 = transition stratocumulus, 0113 = low, broken cloud. Satellite.calipso.L2_05kmCLay.Feature_Optical_Depth_532 (-) Reports estimates of 532nm layer optical depth. Satellite.calipso.L2_05kmCLay.Feature_Optical_Depth_Uncertainty_532 (-) Estimated uncertainty, reported as an absolute error, in the 532nm layer optical depth. Satellite.calipso.L2_05kmCLay.Final_1064_Lidar_Ratio (sr) Reports the lidar ratio in use at the conclusion of the extinction processing for each layer. The final lidar ratio may be (1) the initial lidar ratio supplied by the Scene Classification Algorithms, (2) the result of modifications to this initial lidar ratio to avoid a non-physical solution, or (3) a lidar ratio determined from a measured layer transmittance. Satellite.calipso.L2_05kmCLay.Final_532_Lidar_Ratio (sr) Reports the lidar ratio in use at the conclusion of the extinction processing for each layer. The final lidar ratio may be (1) the initial lidar ratio supplied by the Scene Classification Algorithms, (2) the result of modifications to this initial lidar ratio to avoid a non-physical solution, or (3) a lidar ratio determined from a measured layer transmittance. Satellite.calipso.L2_05kmCLay.Final_532_Lidar_Ratio_Uncertainty (sr) Reports the lidar ratio uncertainty at the conclusion of the extinction processing for each layer. Satellite.calipso.L2_05kmCLay.High_Resolution_Layers_Cleared (-) Bit-mapped integer identifying which single-shot resolution columns in a 5km average contain clouds detected and removed by the boundary layer cloud-clearing algorithm. The flags are implemented as a 16-bit integer, with the most significant bit unused. Satellite.calipso.L2_05kmCLay.Horizontal_Averaging (km) The amount of horizontal averaging required for a feature to be detected. Satellite.calipso.L2_05kmCLay.IGBP_Surface_Type (-) IGBP surface type at the laser footprint provided by the CERES/SARB surface map: 1 = Evergreen-Needleleaf-Forest, 2 = Evergreen-Broadleaf-Forest, 3 = Deciduous-Needleleaf-Forest, 4 = Deciduous-Broadleaf-Forest, 5 = Mixed-Forest, 6 = Closed-Shrubland, 7 = Open-Shrubland/Desert, 8 = Woody-Savanna, 9 = Savanna, 10 = Grassland, 11 = Wetland, 12 = Cropland, 13 = Urban, 14 = Crop-Mosaic, 15 = Permanent-Snow, 16 = Barren/Desert, 17 = Water, 18 = Tundra. Satellite.calipso.L2_05kmCLay.Ice_Water_Path (g/m2) The integral, from layer top to layer bas, of the ice-water content profile within any ice cloud layer. Ice water content is derived from the cloud particulate 532nm extinction coefficient using a temperature-dependent parameterization derived from in-situ measurements. Satellite.calipso.L2_05kmCLay.Ice_Water_Path_Uncertainty (g/m2) Uncertainty associated with the estimate of ice water path, computed by integrating the uncertainties computed for the ice water content within the layer. Satellite.calipso.L2_05kmCLay.Integrated_Attenuated_Backscatter_1064 (1/sr) The 1064nm integrated attenuated backscatter (IAB) computed for each layer. Satellite.calipso.L2_05kmCLay.Integrated_Attenuated_Backscatter_532 (1/sr) The 532 nm integrated attenuated backscatter (IAB) computed for each layer after correcting the backscatter signal for 532nm attenuation by any overlying layers. Satellite.calipso.L2_05kmCLay.Integrated_Attenuated_Backscatter_Uncertainty_1064 (1/sr) The uncertainties reported for the 1064nm integrated attenuated backscatters, which provide an estimate of the random error in the backscatter signal. Satellite.calipso.L2_05kmCLay.Integrated_Attenuated_Backscatter_Uncertainty_532 (1/sr) Estimated uncertainties the 532 nm integrated attenuated backscatter values. These uncertainties quantify the random error in the integral of the attenuation-corrected 532nm backscatter signal. Satellite.calipso.L2_05kmCLay.Integrated_Attenuated_Total_Color_Ratio (-) Integrated attenuated total color ratio computed for each layer. Satellite.calipso.L2_05kmCLay.Integrated_Attenuated_Total_Color_Ratio_Uncertainty (-) Integrated_Attenuated_Total_Color_Ratio_Uncertainty Satellite.calipso.L2_05kmCLay.Integrated_Particulate_Depolarization_Ratio (-) Layer-integrated particulate depolarization ratio. The particulate depolarization ratio represents the contribution to the volume depolarization ratio that is due only to the cloud and/or aerosol particles within the layer. Satellite.calipso.L2_05kmCLay.Integrated_Particulate_Depolarization_Ratio_Uncertainty (-) Uncertainty associated with the estimate of the layer-integrated particulate depolarization ratio, calculated by integrating the uncertainties for the particulate backscatter coefficients measured in the 532nm parallel and perpendicular channels, and then applying standard techniques for error propagation in ratioed quantities. Satellite.calipso.L2_05kmCLay.Integrated_Volume_Depolarization_Ratio (-) The layer integrated 532 nm volume depolarization ratio (IVDR) computed for each layer. The quality of the estimate for IVDR is determined by the accuracy of the top and base identification, the reliability of the polarization gain ratio calibration, and by the signal-to-noise ratio (SNR) of the backscatter data within the layer. Satellite.calipso.L2_05kmCLay.Integrated_Volume_Depolarization_Ratio_Uncertainty (-) The uncertainties reported for the 532nm layer-integrated volume depolarization ratios provide an estimate of the total random error in the combined backscatter signals. Satellite.calipso.L2_05kmCLay.Layer_Base_Altitude (km) Base of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_05kmCLay.Layer_Base_Extended (-) A non-zero value indicates that the base of the layer has been extended from the initial altitude assigned by the layer detection algorithm to a new, lower altitude lying three range bins (90 m) above the Earth surface. Non-zero values represent the layer feature classification flags prior to the base being extended. Satellite.calipso.L2_05kmCLay.Layer_Base_Pressure (hPa) Pressure at the layer base altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCLay.Layer_Base_Temperature (degC) Temperature at the layer attenuated backscatter centroid altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCLay.Layer_Centroid_Temperature (degC) Temperature at the layer base altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCLay.Layer_Effective_532_Multiple_Scattering_Factor (-) The layer effective 532 nm multiple scattering factor corresponds to the limit of single scattering only, with smaller values indicating increasing contributions to the backscatter signal from multiple scattering. Satellite.calipso.L2_05kmCLay.Layer_IAB_QA_Factor (-) Single layer analog of the column integrated attenuated backscatter cumulative probability. Satellite.calipso.L2_05kmCLay.Layer_Top_Altitude (km) Top of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_05kmCLay.Layer_Top_Pressure (hPa) Pressure at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCLay.Layer_Top_Temperature (degC) Temperature at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCLay.Lidar_Ratio_532_Selection_Method (-) Specifies the internal procedure used to select the initial lidar ratio for each layer: - not determined, - Transmittance Method, constrained retrieval, - Opaque Layer Method, based on opaque clouds or aerosols, - Cirrus Temperature Method, unconstrained ice clouds, - Unknown Cloud Phase, unconstrained unknown phase clouds with centroid temperature between -37 and 0 degrees C, - Fixed Layer Method, unconstrained water clouds and aerosols, - Solution at 532nm Method, unconstrained 1064 nm cloud only when 532 nm extinction solution is available\012\0117 - MAC Table Interpolation, unconstrained aerosol using MAC interpolated lookup table. Satellite.calipso.L2_05kmCLay.Low_Energy_Mitigation_Column_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each column; least significant bit = bit 1 (bit; interpretation): bit 1; Column contains LEM affected data (data has been rejected or low energy shots that LEM accepts, bit 2; Column belongs to a 5km resolution frame that has been rejected due to too many unusable profiles, bit 3; Column belongs to a 5 km resolution frame that has been rejected due to too many rejected subregions in altitude region 3, bit 4; Column belongs to a 5km resolution frame that has been rejected due to too many rejected subregions in altitude region 4, bit 5; Feature detection at 20km resolution not performed in this column due to insufficient fraction of usable 5km resolution frames, bit 6; Feature detection at 80 km resolution not performed in this column due to insufficient fraction of usable 5 km resolution frames, bits 7-16; Unused. Satellite.calipso.L2_05kmCLay.Low_Energy_Mitigation_Feature_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each layer detected (flag - interpretation): 0 - No low energy shots affecting the layer, 1 - Some portion of the layer contains low energy shots and/or data rejected by the LEM algorithm Satellite.calipso.L2_05kmCLay.Measured_Two_Way_Transmittance_532 (-) Provides the measured value of the layer two-way transmittance, derived by computing the ratio of the mean attenuated scattering ratios in the "clear air" regions immediately below and above the layer, for isolated transparent layers. Satellite.calipso.L2_05kmCLay.Measured_Two_Way_Transmittance_Uncertainty_532 (-) The relative error in the two-way transmittance measurement, calculated using standard techniques for error propagation in ratioed quantities. Satellite.calipso.L2_05kmCLay.Midlayer_Pressure (hPa) Pressure at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCLay.Midlayer_Temperature (degC) Temperature at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCLay.Minimum_Laser_Energy_532 (J) Minimum laser energy at 532 nm measured within each 80 km along-track data segment (80km = 240 single-shot laser pulses). The 80km distance matches the largest horizontal extent considered in CALIOP standard level 2 data analyses. Satellite.calipso.L2_05kmCLay.Normalization_Constant_Uncertainty (-) Uncertainty, reported as a relative error, in the 532nm and 1064nm calibration constants due solely to random error in the backscatter measurements in the calibration region. Satellite.calipso.L2_05kmCLay.Number_Layers_Found (-) The number of cloud layers found in a column. The merged 5km layer product reports layers detected at multiple averaging resolutions (5km, 20km, and 80km). Because the reporting resolution (5-km) is not always identical to the detection resolution, layers may appear to overlap in the vertical dimension. Satellite.calipso.L2_05kmCLay.ODCOD_Effective_Optical_Depth_532 (-) Column estimate of apparent (multiple scattering effects not accounted for) optical depth at 532nm wavelength for all particulate (clouds and aerosols) within the illuminated volume from just above the lidar detected ocean surface to the CALIPSO top of atmosphere. Satellite.calipso.L2_05kmCLay.ODCOD_Effective_Optical_Depth_532_Uncertainty (-) An analytical estimate of the absolute standard deviation uncertainty in the ODCOD Effective Optical Depth estimate at 532nm. Satellite.calipso.L2_05kmCLay.ODCOD_QC_Flag_532 (-) Ocean Derived Column Optical Depth (ODCOD) quality control flags; least significant bit = bit 1 (bit; interpretation): bit 1; The fundamental time delay was shifted from the first point, bit 2; Lidar surface data too many data points for a valid surface spike, bit 3; Range bin above recorded lidar surface data added, bit 4; Range bin below recorded lidar surface data added, bit 5; The surface point ratio indicated that the first point of the surface spike is missing, bit 6; To find the time delay, the surface spike index range had to be shifted down, bit 7; The retrieval inputs fall outside of confidence ranges indicating a confident retrieval, bits 8-10; Unused, none, bit 11; No Lidar surface was found, bit 12; The surface is not ocean, bit 13; The surface is ice, bit 14; The wind speed is outside the valid range; 0.025 to 43 m/s, bit 15; The fundamental time delay found was too low and there were not enough points to find a new one, bit 16; Too few data points to solve, bit 17; The low pass filter impulse response model curve area was too large, bit 18; The low pass filter impulse response model curve scale factor could no t be found, bit 19; Lidar surface saturated, bit 20; Lidar surface has negative signal anomaly, bit 21; Lidar surface data is not valid, bit 22; Flags bad input/ancillary data, bit 23; No Lidar surface was detected via derivative method at greater than single shot resolutions, bits 24-32; Unused, none. Satellite.calipso.L2_05kmCLay.ODCOD_Surface_Wind_Speed_Correction (m/s) An additive correction derived from AMSR analysis applied to the MERRA-2 wind speed magnitude calculated from the zonal winds reported in ODCOD Surface Wind Speeds 10m. Satellite.calipso.L2_05kmCLay.ODCOD_Surface_Wind_Speeds_10m (m/s) Mean zonal and meridional component of the surface wind speed 10 meters above the surface provided by MERRA-2. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Satellite.calipso.L2_05kmCLay.Off_Nadir_Angle (deg) Angle of the lidar viewing vector; 0.3 degrees off-nadir from launch/first-light to 3.0 degrees after November 28, 2007. Satellite.calipso.L2_05kmCLay.Opacity_Flag (-) Flag that identifies a layer in which the backscatter signal becomes completely attenuated. An opacity flag of 0 indicates a transparent layer, while a value of 1 indicates an opaque layer. A layer is considered opaque if (a) it is the lowest feature detected in a column, and (b) it is not subsequently classified as a surface return. For those layers identified as opaque, the reported base altitude must be considered as an apparent base, rather than a true base. Satellite.calipso.L2_05kmCLay.Overlying_Integrated_Attenuated_Backscatter_532 (1/sr) Overlying_Integrated_Attenuated_Backscatter_532 Satellite.calipso.L2_05kmCLay.Parallel_Column_Reflectance_532 (-) Bi-directional column reflectance derived from the root-mean-square variation of the 532 nm parallel channel baseline measurements. Satellite.calipso.L2_05kmCLay.Parallel_Column_Reflectance_Uncertainty_532 (-) Column reflectance uncertainty for the 532nm parallel channel. Satellite.calipso.L2_05kmCLay.Perpendicular_Column_Reflectance_532 (-) Perpendicular_Column_Reflectance_532 Satellite.calipso.L2_05kmCLay.Perpendicular_Column_Reflectance_Uncertainty_532 (-) Perpendicular_Column_Reflectance_Uncertainty_532 Satellite.calipso.L2_05kmCLay.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L2_05kmCLay.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L2_05kmCLay.Scattering_Angle (deg) Angle between the lidar viewing angle and the line of sight of the sun. Satellite.calipso.L2_05kmCLay.Scene_Flag (-) Bit mapped flag where the following bits indicate the atmospheric feature type was detected at some resolution in the colum n; least significant bit = bit 1 (bit; interpretation): bit 1; tropospheric aerosol subtype clean marine, bit 2; tropospheric aerosol subtype dust, bit 3; tropospheric aerosol subtype polluted continental/smoke, bit 4; tropospheric aerosol subtype clean continental, bit 5; tropospheric aerosol subtype polluted dust, bit 6; tropospheric aerosol subtype elevated smoke, bit 7; tropospheric aerosol subtype dusty marine, bit 8; stratospheric aerosol subtype polar stratospheric aerosol, bit 9; stratospheric aerosol subtype volcanic ash, bit 10; stratospheric aerosol subtype sulfate, bit 11; stratospheric aerosol subtype elevated smoke bit 12; stratospheric aerosol unclassified. bit 13; On if column has ROI clouds at any resolution. bit 14; On if column has HOI clouds at any resolution. bit 15; On if column has water clouds at any resolution. bit 16; On if column has unknown phase clouds at any resolution. Satellite.calipso.L2_05kmCLay.Single_Shot_Cloud_Cleared_Fraction (-) Layers detected in the planetary boundary layer (PBL) are subjected to an additional cloud clearing procedure to separate small-scale boundary layer clouds from any surrounding PBL aerosols at the highest possible spatial resolution (i.e., single shot data). The single shot cloud cleared fraction reports the fraction of the nominal layer area (i.e., horizontal averaging distance times layer height) that was removed by the cloud clearing process. Satellite.calipso.L2_05kmCLay.Snow_Ice_Surface_Type (-) Snow and ice coverage for the surface at the laser footprint provided by the U.S. Airforce Weather Agency (AFWA). Values between 0 and 100 represent the percentage of ice, while 101 = permanent ice, 103 = snow, and 255 = mixed pixels at coastline. Satellite.calipso.L2_05kmCLay.Solar_Azimuth_Angle (degrees) Azimuth angle from north of the line of sight to the sun. Satellite.calipso.L2_05kmCLay.Solar_Zenith_Angle (degrees) Angle between the zenith at the lidar footprint on the surface and the line of sight to the sun. Satellite.calipso.L2_05kmCLay.Spacecraft_Position_X (km) X-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_05kmCLay.Spacecraft_Position_Y (km) Y-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_05kmCLay.Spacecraft_Position_Z (km) Z-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_05kmCLay.Surface_1064_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 1064 to Surface Base 1064, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmCLay.Surface_1064_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 1064 to Surface Base Altitude 1064, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmCLay.Surface_532_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmCLay.Surface_532_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmCLay.Surface_Base_Altitude_1064 (km) Base altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCLay.Surface_Base_Altitude_532 (km) Base altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCLay.Surface_Detection_Flags_1064 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmCLay.Surface_Detection_Flags_532 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmCLay.Surface_Detections_333m_1064 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 1064nm channel. Satellite.calipso.L2_05kmCLay.Surface_Detections_333m_532 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 532nm channel. Satellite.calipso.L2_05kmCLay.Surface_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Total Attenuated Backscatter 1064nm of the surface return from Surface Top Altitude 1064 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmCLay.Surface_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Total Attenuated Backscatter 532nm of the surface return from Surface Top Altitude 532 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmCLay.Surface_Overlying_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Attenuated Backscatter 1064 from 40km to one range bin above Surface Top Altitude 1064. Satellite.calipso.L2_05kmCLay.Surface_Overlying_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Attenuated Backscatter 532 from 40km to one range bin above Surface Top Altitude 532. Satellite.calipso.L2_05kmCLay.Surface_Peak_Signal_1064 (/km/sr) Maximum 1064nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmCLay.Surface_Peak_Signal_532 (/km/sr) Maximum 532nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmCLay.Surface_Scaled_RMS_Background_1064 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 1064nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmCLay.Surface_Scaled_RMS_Background_532 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 532nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmCLay.Surface_Top_Altitude_1064 (km) Top altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCLay.Surface_Top_Altitude_532 (km) Top altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCLay.Tropopause_Height (km) Tropopause height. Provided by MERRA-2. Satellite.calipso.L2_05kmCLay.Tropopause_Temperature (degC) Tropopause temperature. Provided by MERRA-2. Satellite.calipso.L2_05kmCLay.Unique_Layer_ID (-) Unique number for each layer detected at 5-km or coarser resolution. Satellite.calipso.L2_05kmCPro.Aerosol_Layer_Fraction (-) Aerosol_Layer_Fraction Satellite.calipso.L2_05kmCPro.Atmospheric_Volume_Description (-) Atmospheric_Volume_Description Satellite.calipso.L2_05kmCPro.Cloud_Layer_Fraction (-) Cloud_Layer_Fraction Satellite.calipso.L2_05kmCPro.Cloud_Multiple_Scattering_Profile_532 (-) Cloud_Multiple_Scattering_Profile_532 Satellite.calipso.L2_05kmCPro.Column_Feature_Fraction (-) The fraction of the 5-km horizontally averaged profile, between 30km and the DEM surface elevation, which has been identified as containing a feature (i.e., either a cloud, an aerosol, or a stratospheric layer). Satellite.calipso.L2_05kmCPro.Column_IAB_Cumulative_Probability (-) The cumulative probability of measuring a total column integrated attenuated backscatter value equal to the value computed for the current profile. Satellite.calipso.L2_05kmCPro.Column_Integrated_Attenuated_Backscatter_532 (sr^-1) The integral with respect to altitude of the 532nm total attenuated backscatter coefficients. The limits of integration are from the onset of the backscatter signal at ~40 km, down to the range bin immediately prior to the surface elevation specified by the digital elevation map (DEM). Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Cloud_532 (-) Column_Optical_Depth_Cloud_532 Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Cloud_Uncertainty_532 (-) Column_Optical_Depth_Cloud_Uncertainty_532 Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Stratospheric_Aerosols_1064 (-) Optical depth of all stratospheric aerosols within a 5km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 1064nm in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Stratospheric_Aerosols_532 (-) Optical depth of all stratospheric aerosols within a 5km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 532nm in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 1064 parameter. Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Stratospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Stratospheric 532 parameter. Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Tropospheric_Aerosols_1064 (-) Optical depth of all tropospheric aerosols within a 5km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 1064nm in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Tropospheric_Aerosols_532 (-) Optical depth of all tropospheric aerosols within a 5km averaged profile, obtained by integrating the stratospheric particulate extinction coefficients reported at 532nm in the CALIPSO 5km Aerosol Profile Products. Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_1064 (-) Estimated uncertainty in the Column Optical Depth Tropospheric 1064 parameter. Satellite.calipso.L2_05kmCPro.Column_Optical_Depth_Tropospheric_Aerosols_Uncertainty_532 (-) Estimated uncertainty in the Column Optical Depth Tropospheric 532 parameter. Satellite.calipso.L2_05kmCPro.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L2_05kmCPro.Extinction_Coefficient_532 (km^-1) Particulate 532nm extinction coefficients reported for each profile range bin in which the appropriate particulates were detected. Satellite.calipso.L2_05kmCPro.Extinction_Coefficient_532_Uncertainty (km^-1) Uncertainties reported for the particulate 532nm extinction coefficients for each profile range bin. Satellite.calipso.L2_05kmCPro.Extinction_QC_Flag_532 (-) The 532nm extinction Quality Control flags are bit-mapped 16-bit integers, reported for each layer for which an extinction retrieval was attempted; least significant bit = bit 1 (bit; interpretation): bit 1; Retrieval, 0 = Unconstrained retrieval, initial lidar ratio unchanged during solution process, 1 = Constrained retrieval, bit 2; Initial lidar ratio reduced to achieve successful full-column solutions, bit 3; Suspicious retrieval due to layer or overlying integrated attenuated backscatter being too high or excessive lidar ratio reductions, bit 4; Initial lidar ratio has been reduced and has converged, but backscatter uncertainty solution does not exist, bit 5; Layer being analyzed has been identified by the feature finder as being totally attenuating (i.e., opaque), bit 6; Estimated optical depth error exceeds the maximum allowable value, bit 7; Negative signal anomaly detected, bit 8; Retrieval terminated at maximum iterations for a constrained retrieval, bit 9; No solution possible within allowable lidar ratio bounds, bit 10; Two-way particulate transmittance has converged but constrained retrieval still not achieved, bit 11; Backscatter coefficients not converging and maximum lidar ratio correction iterations reached, bit 12; Uncertainties not converging and maximum lidar ratio correction iterations achieved, bit 13; Lidar ratio converged but retrieval still not converging, bit 14; Range bin contains two different feature types that may have different lidar ratios, bit 15; Complex retrieval failure, bit 16; Fill value or no solution attempted. Satellite.calipso.L2_05kmCPro.IGBP_Surface_Type (-) IGBP surface type at the laser footprint provided by the CERES/SARB surface map: 1 = Evergreen-Needleleaf-Forest, 2 = Evergreen-Broadleaf-Forest, 3 = Deciduous-Needleleaf-Forest, 4 = Deciduous-Broadleaf-Forest, 5 = Mixed-Forest, 6 = Closed-Shrubland, 7 = Open-Shrubland/Desert, 8 = Woody-Savanna, 9 = Savanna, 10 = Grassland, 11 = Wetland, 12 = Cropland, 13 = Urban, 14 = Crop-Mosaic, 15 = Permanent-Snow, 16 = Barren/Desert, 17 = Water, 18 = Tundra. Satellite.calipso.L2_05kmCPro.Ice_Water_Content_Profile (gm^-3) Ice_Water_Content_Profile Satellite.calipso.L2_05kmCPro.Ice_Water_Content_Profile_Uncertainty (gm^-3) Ice_Water_Content_Profile_Uncertainty Satellite.calipso.L2_05kmCPro.Low_Energy_Mitigation_Column_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each column; least significant bit = bit 1 (bit; interpretation): bit 1; Column contains LEM affected data (data has been rejected or low energy shots that LEM accepts, bit 2; Column belongs to a 5km resolution frame that has been rejected due to too many unusable profiles, bit 3; Column belongs to a 5 km resolution frame that has been rejected due to too many rejected subregions in altitude region 3, bit 4; Column belongs to a 5km resolution frame that has been rejected due to too many rejected subregions in altitude region 4, bit 5; Feature detection at 20km resolution not performed in this column due to insufficient fraction of usable 5km resolution frames, bit 6; Feature detection at 80 km resolution not performed in this column due to insufficient fraction of usable 5 km resolution frames, bits 7-16; Unused. Satellite.calipso.L2_05kmCPro.Low_Energy_Mitigation_Feature_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each layer detected (flag - interpretation): 0 - No low energy shots affecting the layer, 1 - Some portion of the layer contains low energy shots and/or data rejected by the LEM algorithm Satellite.calipso.L2_05kmCPro.Minimum_Laser_Energy_532 (J) Minimum laser energy at 532 nm measured within each 80 km along-track data segment (80km = 240 single-shot laser pulses). The 80km distance matches the largest horizontal extent considered in CALIOP standard level 2 data analyses. Satellite.calipso.L2_05kmCPro.Molecular_Number_Density (m^-3) Mean molecular number density reported for the midpoint of each range bin in the profile; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCPro.ODCOD_Effective_Optical_Depth_532 (-) Column estimate of apparent (multiple scattering effects not accounted for) optical depth at 532nm wavelength for all particulate (clouds and aerosols) within the illuminated volume from just above the lidar detected ocean surface to the CALIPSO top of atmosphere. Satellite.calipso.L2_05kmCPro.ODCOD_Effective_Optical_Depth_532_Uncertainty (-) An analytical estimate of the absolute standard deviation uncertainty in the ODCOD Effective Optical Depth estimate at 532nm. Satellite.calipso.L2_05kmCPro.ODCOD_QC_Flag_532 (-) Ocean Derived Column Optical Depth (ODCOD) quality control flags; least significant bit = bit 1 (bit; interpretation): bit 1; The fundamental time delay was shifted from the first point, bit 2; Lidar surface data too many data points for a valid surface spike, bit 3; Range bin above recorded lidar surface data added, bit 4; Range bin below recorded lidar surface data added, bit 5; The surface point ratio indicated that the first point of the surface spike is missing, bit 6; To find the time delay, the surface spike index range had to be shifted down, bit 7; The retrieval inputs fall outside of confidence ranges indicating a confident retrieval, bits 8-10; Unused, none, bit 11; No Lidar surface was found, bit 12; The surface is not ocean, bit 13; The surface is ice, bit 14; The wind speed is outside the valid range; 0.025 to 43 m/s, bit 15; The fundamental time delay found was too low and there were not enough points to find a new one, bit 16; Too few data points to solve, bit 17; The low pass filter impulse response model curve area was too large, bit 18; The low pass filter impulse response model curve scale factor could no t be found, bit 19; Lidar surface saturated, bit 20; Lidar surface has negative signal anomaly, bit 21; Lidar surface data is not valid, bit 22; Flags bad input/ancillary data, bit 23; No Lidar surface was detected via derivative method at greater than single shot resolutions, bits 24-32; Unused, none. Satellite.calipso.L2_05kmCPro.ODCOD_Surface_Wind_Speed_Correction (m/s) An additive correction derived from AMSR analysis applied to the MERRA-2 wind speed magnitude calculated from the zonal winds reported in ODCOD Surface Wind Speeds 10m. Satellite.calipso.L2_05kmCPro.ODCOD_Surface_Wind_Speeds_10m (m/s) Mean zonal and meridional component of the surface wind speed 10 meters above the surface provided by MERRA-2. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Satellite.calipso.L2_05kmCPro.Ozone_Number_Density (molecules/m3) Ozone number density, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L2_05kmCPro.Particulate_Depolarization_Ratio_Profile_532 (-) Particulate_Depolarization_Ratio_Profile_532 Satellite.calipso.L2_05kmCPro.Particulate_Depolarization_Ratio_Uncertainty_532 (-) Particulate_Depolarization_Ratio_Uncertainty_532 Satellite.calipso.L2_05kmCPro.Perpendicular_Backscatter_Coefficient_532 (sr^-1km^-1) Perpendicular_Backscatter_Coefficient_532 Satellite.calipso.L2_05kmCPro.Perpendicular_Backscatter_Coefficient_Uncertainty_532 (sr^-1km^-1) Perpendicular_Backscatter_Coefficient_Uncertainty_532 Satellite.calipso.L2_05kmCPro.Pressure (hPa) Mean pressure reported for the midpoint of each range bin in the profile; derived from the MERRA-2 data product. Satellite.calipso.L2_05kmCPro.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L2_05kmCPro.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L2_05kmCPro.Relative_Humidity (%) Relative humidity, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L2_05kmCPro.Surface_1064_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 1064 to Surface Base 1064, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmCPro.Surface_1064_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 1064 to Surface Base Altitude 1064, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmCPro.Surface_532_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_05kmCPro.Surface_532_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_05kmCPro.Surface_Base_Altitude_1064 (km) Base altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCPro.Surface_Base_Altitude_532 (km) Base altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCPro.Surface_Detection_Flags_1064 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmCPro.Surface_Detection_Flags_532 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_05kmCPro.Surface_Detections_333m_1064 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 1064nm channel. Satellite.calipso.L2_05kmCPro.Surface_Detections_333m_532 (-) Number of single shot profiles (1/3 km resolution) within each 5 km resolution profile where surface was detected for the 532nm channel. Satellite.calipso.L2_05kmCPro.Surface_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Total Attenuated Backscatter 1064nm of the surface return from Surface Top Altitude 1064 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmCPro.Surface_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Total Attenuated Backscatter 532nm of the surface return from Surface Top Altitude 532 to Surface Base Altitude 1064. Satellite.calipso.L2_05kmCPro.Surface_Overlying_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Attenuated Backscatter 1064 from 40km to one range bin above Surface Top Altitude 1064. Satellite.calipso.L2_05kmCPro.Surface_Overlying_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Attenuated Backscatter 532 from 40km to one range bin above Surface Top Altitude 532. Satellite.calipso.L2_05kmCPro.Surface_Peak_Signal_1064 (/km/sr) Maximum 1064nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmCPro.Surface_Peak_Signal_532 (/km/sr) Maximum 532nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_05kmCPro.Surface_Scaled_RMS_Background_1064 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 1064nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmCPro.Surface_Scaled_RMS_Background_532 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 532nm attenuated backscatter coefficient. Satellite.calipso.L2_05kmCPro.Surface_Top_Altitude_1064 (km) Top altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCPro.Surface_Top_Altitude_532 (km) Top altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_05kmCPro.Surface_Wind_Speeds_02m (m/s) Surface wind speeds measured 2m above the Earth surface. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Provided by MERRA-2. Satellite.calipso.L2_05kmCPro.Temperature (degC) Temperature, for each profile, reported at the Met_Data_Altitudes resolution. Provided by MERRA-2. Satellite.calipso.L2_05kmCPro.Total_Backscatter_Coefficient_532 (sr^-1km^-1) Total_Backscatter_Coefficient_532 Satellite.calipso.L2_05kmCPro.Total_Backscatter_Coefficient_Uncertainty_532 (sr^-1km^-1) Total_Backscatter_Coefficient_Uncertainty_532 Satellite.calipso.L2_05kmCPro.Tropopause_Height (km) Tropopause height. Provided by MERRA-2. Satellite.calipso.L2_05kmCPro.Tropopause_Temperature (degC) Tropopause temperature. Provided by MERRA-2. Satellite.calipso.L2_05kmCPro.Unique_Layer_ID (-) Unique number for each layer detected at Satellite.calipso.L2_333mMLay.Column_Feature_Fraction (-) The fraction of the 5-km horizontally averaged profile, between 30-km and the DEM surface elevation, which has been identified as containing a feature (i.e., either a cloud, an aerosol, or a stratospheric layer). Satellite.calipso.L2_333mMLay.Column_IAB_Cumulative_Probability (-) The cumulative probability of measuring a total column integrated attenuated backscatter value equal to the value computed for the current profile. Satellite.calipso.L2_333mMLay.Column_Integrated_Attenuated_Backscatter_532 (1/sr) The integral with respect to altitude of the 532nm total attenuated backscatter coefficients. The limits of integration are from the onset of the backscatter signal at ~40km, down to the range bin immediately prior to the surface elevation specified by the digital elevation map (DEM). Satellite.calipso.L2_333mMLay.Column_Particulate_Optical_Depth_Above_Opaque_Water_Cloud_532 (-) 532nm particulate optical depths in the vertical column above an opaque water cloud, derived according to the method detailed in Hu et al., 2007 (DOI: 10.1109/LGRS.2007.901085). Satellite.calipso.L2_333mMLay.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L2_333mMLay.Feature_Classification_Flags (-) For each layer detected in the CALIPSO backscatter data a feature classification flags are derived. The complete set of flags are stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): 011 bits 1-3; Feature Type, 0110 = invalid (bad or missing data), 0111 = clear air, 0112 = cloud, 0113 = tropospheric aerosol, 0114 = stratospheric aerosol, 0115 = surface, 0116 = subsurface, 0117 = no signal, bits 4-5; Feature Type QA, 011 = 0 = none, 0111 = low, 0112 = medium, 0113 = high 011 bits 6-7; Ice/Water Phase (cloud), 0110 = unknown/not determined, 0111 = ice, 0112 = water, 0113 = oriented ice crystals, bits 8-9; Ice/Water Phase QA (cloud), 0110 = none, 0111 = low, 0112 = medium, 0113 = high, 011bits 10-12; Feature Subtype (clear-air), 0110 = n/a, 0111 = not searched for features at 80km resolution, 0112 = not searched for features at 20 and 8km resolution, bits 10-12; Feature Subtype (Cloud), 0110 = low overcast, transparent, 0111 = low overcast, opaque, 0112 = transition stratocumulus, 0113 = low, broken cloud. Satellite.calipso.L2_333mMLay.Final_1064_Lidar_Ratio (sr) Reports the lidar ratio in use at the conclusion of the extinction processing for each layer. The final lidar ratio may be (1) the initial lidar ratio supplied by the Scene Classification Algorithms, (2) the result of modifications to this initial lidar ratio to avoid a non-physical solution, or (3) a lidar ratio determined from a measured layer transmittance. Satellite.calipso.L2_333mMLay.IGBP_Surface_Type (-) IGBP surface type at the laser footprint provided by the CERES/SARB surface map: 1 = Evergreen-Needleleaf-Forest, 2 = Evergreen-Broadleaf-Forest, 3 = Deciduous-Needleleaf-Forest, 4 = Deciduous-Broadleaf-Forest, 5 = Mixed-Forest, 6 = Closed-Shrubland, 7 = Open-Shrubland/Desert, 8 = Woody-Savanna, 9 = Savanna, 10 = Grassland, 11 = Wetland, 12 = Cropland, 13 = Urban, 14 = Crop-Mosaic, 15 = Permanent-Snow, 16 = Barren/Desert, 17 = Water, 18 = Tundra. Satellite.calipso.L2_333mMLay.Integrated_Attenuated_Backscatter_1064 (1/sr) The 1064nm integrated attenuated backscatter (IAB) computed for each layer. Satellite.calipso.L2_333mMLay.Integrated_Attenuated_Backscatter_532 (1/sr) The 532 nm integrated attenuated backscatter (IAB) computed for each layer after correcting the backscatter signal for 532nm attenuation by any overlying layers. Satellite.calipso.L2_333mMLay.Integrated_Attenuated_Backscatter_Uncertainty_1064 (1/sr) The uncertainties reported for the 1064nm integrated attenuated backscatters, which provide an estimate of the random error in the backscatter signal. Satellite.calipso.L2_333mMLay.Integrated_Attenuated_Backscatter_Uncertainty_532 (1/sr) Estimated uncertainties the 532 nm integrated attenuated backscatter values. These uncertainties quantify the random error in the integral of the attenuation-corrected 532nm backscatter signal. Satellite.calipso.L2_333mMLay.Integrated_Attenuated_Total_Color_Ratio (-) Integrated attenuated total color ratio computed for each layer. Satellite.calipso.L2_333mMLay.Integrated_Attenuated_Total_Color_Ratio_Uncertainty (-) Integrated_Attenuated_Total_Color_Ratio_Uncertainty Satellite.calipso.L2_333mMLay.Integrated_Volume_Depolarization_Ratio (-) The layer integrated 532 nm volume depolarization ratio (IVDR) computed for each layer. The quality of the estimate for IVDR is determined by the accuracy of the top and base identification, the reliability of the polarization gain ratio calibration, and by the signal-to-noise ratio (SNR) of the backscatter data within the layer. Satellite.calipso.L2_333mMLay.Integrated_Volume_Depolarization_Ratio_Uncertainty (-) The uncertainties reported for the 532nm layer-integrated volume depolarization ratios provide an estimate of the total random error in the combined backscatter signals. Satellite.calipso.L2_333mMLay.Laser_Energy_532 (J) The laser energy at 532nm measured by the laser energy monitor for each shot. Satellite.calipso.L2_333mMLay.Layer_Base_Altitude (km) Base of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_333mMLay.Layer_Base_Pressure (hPa) Pressure at the layer base altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_333mMLay.Layer_Base_Temperature (degC) Temperature at the layer attenuated backscatter centroid altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_333mMLay.Layer_Centroid_Temperature (degC) Temperature at the layer base altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_333mMLay.Layer_IAB_QA_Factor (-) Single layer analog of the column integrated attenuated backscatter cumulative probability. Satellite.calipso.L2_333mMLay.Layer_Top_Altitude (km) Top of the layer above mean sea level. Due to the on-board data averaging scheme, the precision with which CALIPSO can make this measurement is itself a function of altitude. Satellite.calipso.L2_333mMLay.Layer_Top_Pressure (hPa) Pressure at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_333mMLay.Layer_Top_Temperature (degC) Temperature at the layer top altitude; derived from the MERRA-2 data product. Satellite.calipso.L2_333mMLay.Low_Energy_Mitigation_Column_QC_Flag (-) Low energy mitigation (LEM) quality control flag reported for each column; least significant bit = bit 1 (bit; interpretation): bit 1; Column contains LEM affected data (data has been rejected or low energy shots that LEM accepts, bit 2; Column belongs to a 5km resolution frame that has been rejected due to too many unusable profiles, bit 3; Column belongs to a 5 km resolution frame that has been rejected due to too many rejected subregions in altitude region 3, bit 4; Column belongs to a 5km resolution frame that has been rejected due to too many rejected subregions in altitude region 4, bit 5; Feature detection at 20km resolution not performed in this column due to insufficient fraction of usable 5km resolution frames, bit 6; Feature detection at 80 km resolution not performed in this column due to insufficient fraction of usable 5 km resolution frames, bits 7-16; Unused. Satellite.calipso.L2_333mMLay.Midlayer_Pressure (hPa) Pressure at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_333mMLay.Midlayer_Temperature (degC) Temperature at the geometric midpoint of the layer in the vertical dimension; derived from the MERRA-2 data product. Satellite.calipso.L2_333mMLay.Number_Bins_Shift (-) Number of 30 meter bins shifted by the altitude registration algorithm to match the range bin at mean sea level in the measured profile to the range bin at mean sealevel in the fixed altitude grid; positive = shift up and negative = shift down. Satellite.calipso.L2_333mMLay.Number_Layers_Found (-) The number of cloud layers found in a column. The merged 5km layer product reports layers detected at multiple averaging resolutions (5km, 20km, and 80km). Because the reporting resolution (5-km) is not always identical to the detection resolution, layers may appear to overlap in the vertical dimension. Satellite.calipso.L2_333mMLay.ODCOD_Effective_Optical_Depth_532 (-) Column estimate of apparent (multiple scattering effects not accounted for) optical depth at 532nm wavelength for all particulate (clouds and aerosols) within the illuminated volume from just above the lidar detected ocean surface to the CALIPSO top of atmosphere. Satellite.calipso.L2_333mMLay.ODCOD_Effective_Optical_Depth_532_Uncertainty (-) An analytical estimate of the absolute standard deviation uncertainty in the ODCOD Effective Optical Depth estimate at 532nm. Satellite.calipso.L2_333mMLay.ODCOD_QC_Flag_532 (-) Ocean Derived Column Optical Depth (ODCOD) quality control flags; least significant bit = bit 1 (bit; interpretation): bit 1; The fundamental time delay was shifted from the first point, bit 2; Lidar surface data too many data points for a valid surface spike, bit 3; Range bin above recorded lidar surface data added, bit 4; Range bin below recorded lidar surface data added, bit 5; The surface point ratio indicated that the first point of the surface spike is missing, bit 6; To find the time delay, the surface spike index range had to be shifted down, bit 7; The retrieval inputs fall outside of confidence ranges indicating a confident retrieval, bits 8-10; Unused, none, bit 11; No Lidar surface was found, bit 12; The surface is not ocean, bit 13; The surface is ice, bit 14; The wind speed is outside the valid range; 0.025 to 43 m/s, bit 15; The fundamental time delay found was too low and there were not enough points to find a new one, bit 16; Too few data points to solve, bit 17; The low pass filter impulse response model curve area was too large, bit 18; The low pass filter impulse response model curve scale factor could no t be found, bit 19; Lidar surface saturated, bit 20; Lidar surface has negative signal anomaly, bit 21; Lidar surface data is not valid, bit 22; Flags bad input/ancillary data, bit 23; No Lidar surface was detected via derivative method at greater than single shot resolutions, bits 24-32; Unused, none. Satellite.calipso.L2_333mMLay.ODCOD_Surface_Wind_Speed_Correction (m/s) An additive correction derived from AMSR analysis applied to the MERRA-2 wind speed magnitude calculated from the zonal winds reported in ODCOD Surface Wind Speeds 10m. Satellite.calipso.L2_333mMLay.ODCOD_Surface_Wind_Speeds_10m (m/s) Mean zonal and meridional component of the surface wind speed 10 meters above the surface provided by MERRA-2. First Dimension = eastward, zonal, u; Second Dimension = northward, meridional, v. Satellite.calipso.L2_333mMLay.Off_Nadir_Angle (deg) Angle of the lidar viewing vector; 0.3 degrees off-nadir from launch/first-light to 3.0 degrees after November 28, 2007. Satellite.calipso.L2_333mMLay.Opacity_Flag (-) Flag that identifies a layer in which the backscatter signal becomes completely attenuated. An opacity flag of 0 indicates a transparent layer, while a value of 1 indicates an opaque layer. A layer is considered opaque if (a) it is the lowest feature detected in a column, and (b) it is not subsequently classified as a surface return. For those layers identified as opaque, the reported base altitude must be considered as an apparent base, rather than a true base. Satellite.calipso.L2_333mMLay.Overlying_Integrated_Attenuated_Backscatter_532 (1/sr) Overlying_Integrated_Attenuated_Backscatter_532 Satellite.calipso.L2_333mMLay.Parallel_Column_Reflectance_532 (-) Bi-directional column reflectance derived from the root-mean-square variation of the 532 nm parallel channel baseline measurements. Satellite.calipso.L2_333mMLay.Parallel_Column_Reflectance_Uncertainty_532 (-) Column reflectance uncertainty for the 532nm parallel channel. Satellite.calipso.L2_333mMLay.Perpendicular_Column_Reflectance_532 (-) Perpendicular_Column_Reflectance_532 Satellite.calipso.L2_333mMLay.Perpendicular_Column_Reflectance_Uncertainty_532 (-) Perpendicular_Column_Reflectance_Uncertainty_532 Satellite.calipso.L2_333mMLay.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L2_333mMLay.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L2_333mMLay.Scattering_Angle (deg) Angle between the lidar viewing angle and the line of sight of the sun. Satellite.calipso.L2_333mMLay.Scene_Flag (-) Bit mapped flag where the following bits indicate the atmospheric feature type was detected at some resolution in the colum n; least significant bit = bit 1 (bit; interpretation): bit 1; tropospheric aerosol subtype clean marine, bit 2; tropospheric aerosol subtype dust, bit 3; tropospheric aerosol subtype polluted continental/smoke, bit 4; tropospheric aerosol subtype clean continental, bit 5; tropospheric aerosol subtype polluted dust, bit 6; tropospheric aerosol subtype elevated smoke, bit 7; tropospheric aerosol subtype dusty marine, bit 8; stratospheric aerosol subtype polar stratospheric aerosol, bit 9; stratospheric aerosol subtype volcanic ash, bit 10; stratospheric aerosol subtype sulfate, bit 11; stratospheric aerosol subtype elevated smoke bit 12; stratospheric aerosol unclassified. bit 13; On if column has ROI clouds at any resolution. bit 14; On if column has HOI clouds at any resolution. bit 15; On if column has water clouds at any resolution. bit 16; On if column has unknown phase clouds at any resolution. Satellite.calipso.L2_333mMLay.Snow_Ice_Surface_Type (-) Snow and ice coverage for the surface at the laser footprint provided by the U.S. Airforce Weather Agency (AFWA). Values between 0 and 100 represent the percentage of ice, while 101 = permanent ice, 103 = snow, and 255 = mixed pixels at coastline. Satellite.calipso.L2_333mMLay.Solar_Azimuth_Angle (degrees) Azimuth angle from north of the line of sight to the sun. Satellite.calipso.L2_333mMLay.Solar_Zenith_Angle (degrees) Angle between the zenith at the lidar footprint on the surface and the line of sight to the sun. Satellite.calipso.L2_333mMLay.Spacecraft_Position_X (km) X-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_333mMLay.Spacecraft_Position_Y (km) Y-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_333mMLay.Spacecraft_Position_Z (km) Z-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_333mMLay.Surface_1064_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 1064 to Surface Base 1064, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_333mMLay.Surface_1064_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 1064 to Surface Base Altitude 1064, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_333mMLay.Surface_532_Integrated_Attenuated_Color_Ratio (-) Attenuated color ratio of surface return from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Attenuated Backscatter 1064 to vertically integrated Total Attenuated Backscatter 532. Satellite.calipso.L2_333mMLay.Surface_532_Integrated_Depolarization_Ratio (-) Depolarization ratio of surface return at 532nm from Surface Top Altitude 532 to Surface Base Altitude 532, computed as the ratio of vertically integrated Perpendicular Attenuated Backscatter 532 to vertically integrated Parallel Attenuated Backscatter 532. Satellite.calipso.L2_333mMLay.Surface_Base_Altitude_1064 (km) Base altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_333mMLay.Surface_Base_Altitude_532 (km) Base altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_333mMLay.Surface_Detection_Flags_1064 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_333mMLay.Surface_Detection_Flags_532 (-) Surface detection flag, stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): bit 1; Surface detected (0=no, 1=yes) bits 2-3; Surface detection method, 0 = derivative test, 1 = multi-shot averaged data test, 2 = single shot surface detection fraction test, 3 = unused, bit 4; 532nm parallel saturated, bit 5; 532nm perpendicular saturated, bit 6; 1064nm saturated, bit 7; 532nm parallel negative signal anomaly, bit 8; 532nm perpendicular negative signal anomaly, bit 9; 1064 nm negative signal anomaly, bit 10; Derivative method failure: Z(min gradient) below Z(max gradient), bit 11; Derivative method failure: vertical extent exceeds limit, bit 12; Derivative method failure: peak signal below threshold, bit 13; Failure: vertical separation between 532 and 1064 surface top altitudes exceeds allowable limit, bit 14; Failure: surface detected at 1064nm only, but overlying color ratio below threshold, bits 15-16; Unused. Satellite.calipso.L2_333mMLay.Surface_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Total Attenuated Backscatter 1064nm of the surface return from Surface Top Altitude 1064 to Surface Base Altitude 1064. Satellite.calipso.L2_333mMLay.Surface_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Total Attenuated Backscatter 532nm of the surface return from Surface Top Altitude 532 to Surface Base Altitude 1064. Satellite.calipso.L2_333mMLay.Surface_Overlying_Integrated_Attenuated_Backscatter_1064 (-) Vertically integrated Attenuated Backscatter 1064 from 40km to one range bin above Surface Top Altitude 1064. Satellite.calipso.L2_333mMLay.Surface_Overlying_Integrated_Attenuated_Backscatter_532 (-) Vertically integrated Attenuated Backscatter 532 from 40km to one range bin above Surface Top Altitude 532. Satellite.calipso.L2_333mMLay.Surface_Peak_Signal_1064 (/km/sr) Maximum 1064nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_333mMLay.Surface_Peak_Signal_532 (/km/sr) Maximum 532nm attenuated backscatter value of the surface signal. Satellite.calipso.L2_333mMLay.Surface_Scaled_RMS_Background_1064 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 1064nm attenuated backscatter coefficient. Satellite.calipso.L2_333mMLay.Surface_Scaled_RMS_Background_532 (/km/sr) Background noise estimate computed from RMS baseline noise measurements between 65 and 80km above mean sea level, rescaled to create a pseudo 532nm attenuated backscatter coefficient. Satellite.calipso.L2_333mMLay.Surface_Top_Altitude_1064 (km) Top altitude of the surface return at 1064nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_333mMLay.Surface_Top_Altitude_532 (km) Top altitude of the surface return at 532nm at the lidar footprint above local mean sea level. Satellite.calipso.L2_333mMLay.Tropopause_Height (km) Tropopause height. Provided by MERRA-2. Satellite.calipso.L2_333mMLay.Tropopause_Temperature (degC) Tropopause temperature. Provided by MERRA-2. Satellite.calipso.L2_333mMLay.Was_Cleared (-) Layers which were cleared by the boundary layer cloud-clearing algorithm; 0=not cleared, 1=cleared. Satellite.calipso.L2_VFM.Day_Night_Flag (-) Lighting conditions at an altitude of about 24km above mean sea level: 0 = daytime, 1 = nighttime. Satellite.calipso.L2_VFM.Feature_Classification_Flags (-) For each layer detected in the CALIPSO backscatter data a feature classification flags are derived. The complete set of flags are stored as a single 16-bit integer; least significant bit = bit 1 (bits; interpretation): 011 bits 1-3; Feature Type, 0110 = invalid (bad or missing data), 0111 = clear air, 0112 = cloud, 0113 = tropospheric aerosol, 0114 = stratospheric aerosol, 0115 = surface, 0116 = subsurface, 0117 = no signal, bits 4-5; Feature Type QA, 011 = 0 = none, 0111 = low, 0112 = medium, 0113 = high 011 bits 6-7; Ice/Water Phase (cloud), 0110 = unknown/not determined, 0111 = ice, 0112 = water, 0113 = oriented ice crystals, bits 8-9; Ice/Water Phase QA (cloud), 0110 = none, 0111 = low, 0112 = medium, 0113 = high, 011bits 10-12; Feature Subtype (clear-air), 0110 = n/a, 0111 = not searched for features at 80km resolution, 0112 = not searched for features at 20 and 8km resolution, bits 10-12; Feature Subtype (Cloud), 0110 = low overcast, transparent, 0111 = low overcast, opaque, 0112 = transition stratocumulus, 0113 = low, broken cloud. Satellite.calipso.L2_VFM.Land_Water_Mask (-) Surface type at the laser footprint provided by the CloudSat science team digital elevation model (DEM): 0 = shallow ocean, 1 land, 2 = coastlines, 3 = shallow inland water, 4 = intermittent water, 5 = deep inland water, 6 = continental ocean, 7 = deep ocean. Satellite.calipso.L2_VFM.Minimum_Laser_Energy_532 (J) Minimum laser energy at 532 nm measured within each 80 km along-track data segment (80km = 240 single-shot laser pulses). The 80km distance matches the largest horizontal extent considered in CALIOP standard level 2 data analyses. Satellite.calipso.L2_VFM.Profile_ID (-) Unique profile identifier generated sequentially for each single-shot profile record. Profile IDs are unique within each granule but not unique over multiple granules. Satellite.calipso.L2_VFM.Profile_Time (seconds_since_1993-01-01) Seconds since January 1, 1983 International Atomic Time (TAI) Satellite.calipso.L2_VFM.Spacecraft_Position_X (km) X-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_VFM.Spacecraft_Position_Y (km) Y-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_VFM.Spacecraft_Position_Z (km) Z-coordinate of position (ECR coordinates) of the satellite. Satellite.calipso.L2_VFM.VFM_Feature_Detection_Quality_Flag (-) Quality control flag, used to directly map the actions of the low energy mitigation (LEM) algorithm for each range bin in the VFM (flag - interpretation): 0 - First single-shot profile has low energy or missing data, 1 - Second single-shot profile has low energy or missing data, 2 - Third single-shot profile has low energy or missing data, 3 - Fourth single-shot profile has low energy or missing data, 4 - Fifth single-shot profile has low energy or missing data, 5 - Bin in first single-shot profile is rejected by LEM, 6 - Bin in second single-shot profile is rejected by LEM, 7 - Bin in third single-shot profile is rejected by LEM, 8 - Bin in fourth single-shot profile is rejected by LEM, 9 - Bin in fifth single-shot profile is rejected by LEM, 10 - Contributed to feature detection at resolution 1 (1/3km), 11 - Contributed to feature detection at resolution 2 (1-km), 12 - Contributed to feature detection at resolution 3 (5km), 13 - Contributed to feature detection at resolution 4 (20km), 14 - Contributed to feature detection at resolution 5 (80-km) Satellite.gasp.aod (-) Aerosol Optical Depth. Satellite.gasp.ch1 (-) Channel 1 Visible Reflectance. Satellite.gasp.cld (-) Cloudless = 1, clouded = 0. Satellite.gasp.cls (-) Sum of cld for 25 surrounding pixels. Satellite.gasp.daily_aod (-) Aerosol Optical Depth averaged over TIME range. Satellite.gasp.mos (-) Composite background image visible reflectance. Satellite.gasp.sca (deg) Scatter angle. Satellite.gasp.sfc (-) Surface Reflectivities. Satellite.gasp.sig (-) Aerosol Signal. Satellite.gasp.std (-) Standard Deviation of Aerosol Optical Depth. Satellite.goes.imager.calb (%) imager-measured Cloud albedo Satellite.goes.imager.ctp (Pa) imager-measured Cloud top pressure Satellite.goes.imager.insl (W/m2) imager-measured Surface insolation Satellite.goes.imager.lwir (K) imager-measured IR temperature Satellite.goes.imager.parm (umol/m2/s) imager-measured Photosynthetically active radiation Satellite.goes.imager.parw (W/m2) imager-measured Photosynthetically active radiation Satellite.goes.imager.salb (%) imager-measured Surface albedo Satellite.goes.sounder.ctp (Pa) sounder-measured Cloud top pressure Satellite.goes.sounder.lwir (K) sounder-measured IR temperature Satellite.goes.sounder.tpw (mm) sounder-measured Total precipitable water Satellite.goes.sounder.tskn (K) sounder-measured Surface skin temperature Satellite.modis.mod4.AOD_550_Dark_Target_Deep_Blue_Combined (-) Combined Dark Target, Deep Blue AOT at 0.55 micron for land and ocean. Satellite.modis.mod4.AOD_550_Dark_Target_Deep_Blue_Combined_Algorithm_Flag (-) Combined Dark Target, Deep Blue AOT at 0.55 micron Algorithm Flag (0=Dark Target, 1=Deep Blue, 2=Mixed) Satellite.modis.mod4.AOD_550_Dark_Target_Deep_Blue_Combined_QA_Flag (-) Combined Dark Target, Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good) Satellite.modis.mod4.Aerosol_Cldmask_Land_Ocean (-) Aerosol Cloud Mask 500 meter resolution 0 = cloud 1 = clear Satellite.modis.mod4.Aerosol_Cloud_Fraction_Land (-) Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask Satellite.modis.mod4.Aerosol_Cloud_Fraction_Ocean (-) Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask Satellite.modis.mod4.Aerosol_Type_Land (-) Aerosol Type: 1 = Continental, 2 = Moderate Absorption Fine, 3 = Strong Absorption Fine, 4 = Weak Absorption Fine, 5 = Dust Coarse Satellite.modis.mod4.Angstrom_Exponent_1_Ocean (-) Calculated Angstrom Exponent for 0.55 vs 0.86 micron for Average Solution Satellite.modis.mod4.Angstrom_Exponent_2_Ocean (-) Calculated Angstrom Exponent for 0.86 vs 2.13 micron for Average Solution Satellite.modis.mod4.Average_Cloud_Pixel_Distance_Land_Ocean (pixels) Average Distance (number of pixels) to nearest pixel identified as cloudy from each clear pixel used for Aerosol Retrieval in 10 km retrieval box Satellite.modis.mod4.Cloud_Pixel_Distance_Land_Ocean (pixels) Distance (number of pixels) to nearest pixel identified as cloudy (500 m resolution) Satellite.modis.mod4.Corrected_Optical_Depth_Land_wav2p1 (-) Retrieved AOT at 2.13 micron Satellite.modis.mod4.Deep_Blue_Aerosol_Optical_Depth_550_Land (-) AOT at 0.55 micron for land with all quality data (Quality flag=1,2,3) Satellite.modis.mod4.Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate (-) Deep Blue AOT at 0.55 micron for land with higher quality data (Quality flag=2,3) Satellite.modis.mod4.Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertainty (-) Estimated uncertainty (one-sigma confidence envelope) of Deep Blue AOT at 0.55 micron for land for all quality data (Quality flag=1,2,3) Satellite.modis.mod4.Deep_Blue_Aerosol_Optical_Depth_550_Land_QA_Flag (-) Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good) Satellite.modis.mod4.Deep_Blue_Aerosol_Optical_Depth_550_Land_STD (-) Standard deviation of Deep Blue AOT at 0.55 micron for land with all quality data (Quality flag=1,2,3) Satellite.modis.mod4.Deep_Blue_Algorithm_Flag_Land (-) Deep Blue Aerosol Algorithm Flag (0=DeepBlue, 1=Vegetated, 2=Mixed) Satellite.modis.mod4.Deep_Blue_Angstrom_Exponent_Land (-) Deep Blue Angstrom Exponent for land with all quality data (Quality flag=1,2,3) Satellite.modis.mod4.Deep_Blue_Cloud_Fraction_Land (-) Cloud fraction from Deep Blue Aerosol cloud mask over land Satellite.modis.mod4.Deep_Blue_Number_Pixels_Used_550_Land (pixels) Number of pixels used for AOT retrieval 0.55 micron for land Satellite.modis.mod4.Effective_Optical_Depth_0p55um_Ocean (-) Retrieved AOT for average solution at 0.55um For easy L3 processing Satellite.modis.mod4.Fitting_Error_Land (-) Spectral Fitting error for inversion over land Satellite.modis.mod4.Glint_Angle (deg) Glint angle Satellite.modis.mod4.Image_Optical_Depth_Land_And_Ocean (-) AOT at 0.55 micron for both ocean (Average) and land (corrected) with all quality data (Quality flag=0,1,2,3) Satellite.modis.mod4.Land_Ocean_Quality_Flag (-) Quality Flag for Land and ocean Aerosol retreivals 0=bad 1= Marginal 2=Good 3=Very Good) Satellite.modis.mod4.Land_sea_Flag (-) Land_sea_Flag(based on MOD03 Landsea mask 0 = Ocean, 1 = Land and Ephemeral water 2 =Coastal) Satellite.modis.mod4.Mass_Concentration_Land (1.0e-6g/cm^2) Estimated Column Mass(per area) using assumed mass extinction efficiency Satellite.modis.mod4.Optical_Depth_Land_And_Ocean (-) AOT at 0.55 micron for both ocean (Average) (Quality flag=1,2,3) and land (corrected) (Quality flag=3) Satellite.modis.mod4.Optical_Depth_Ratio_Small_Land (-) Fraction of AOT contributed by fine dominated model Satellite.modis.mod4.Optical_Depth_Ratio_Small_Ocean_0p55micron (-) Fraction of AOT (at 0.55 micron) contributed by fine mode for average solution Satellite.modis.mod4.Scan_Start_Time (Seconds_since_1993-01-01) TAI Time at Start of Scan replicated across the swath Satellite.modis.mod4.Scattering_Angle (deg) Scattering angle Satellite.modis.mod4.Sensor_Azimuth (deg) Sensor azimuth angle, cell to sensor Satellite.modis.mod4.Sensor_Zenith (deg) Sensor zenith angle, cell to sensor Satellite.modis.mod4.Solar_Azimuth (deg) Solar azimuth angle, cell to sun Satellite.modis.mod4.Solar_Zenith (deg) Solar zenith angle, cell to sun Satellite.modis.mod4.Topographic_Altitude_Land (km) Averaged topographic altitude (in km) for Land Satellite.modis.mod4.Wind_Speed_Ncep_Ocean (m/s) Wind Speed based on NCEP reanalysis for Ocean Satellite.modis.mod43k.Aerosol_Cloud_Fraction_Land (-) Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask Satellite.modis.mod43k.Aerosol_Cloud_Fraction_Ocean (-) Cloud fraction from land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask Satellite.modis.mod43k.Aerosol_Type_Land (-) Aerosol Type: 1 = continental, 2 = moderate absorption fine, 3 = strong bbsorption fine, 4 = weak absorption fine, 5 = dust coarse Satellite.modis.mod43k.Angstrom_Exponent_1_Ocean (-) Calculated angstrom exponent for 0.55 vs 0.86 microns for average solution Satellite.modis.mod43k.Angstrom_Exponent_2_Ocean (-) Calculated angstrom exponent for 0.86 vs 2.13 microns for average solution Satellite.modis.mod43k.Corrected_Optical_Depth_Land_wav2p1 (-) Retrieved AOT at 2.13 microns Satellite.modis.mod43k.Fitting_Error_Land (-) Spectral fitting error for inversion over land Satellite.modis.mod43k.Glint_Angle (deg) Glint angle Satellite.modis.mod43k.Image_Optical_Depth_Land_And_Ocean (-) AOT at 0.55 micron for both ocean (average) and land (corrected) with all quality data (quality flag=0,1,2,3) Satellite.modis.mod43k.Land_Ocean_Quality_Flag (-) Quality flag for land and ocean aerosol retreivals: 0 = bad, 1 = marginal, 2 = good, 3 = very good Satellite.modis.mod43k.Land_sea_Flag (-) Land_sea_Flag(based on MOD03 Landsea mask: 0 = Ocean, 1 = Land and Ephemeral water, 2 = Coastal Satellite.modis.mod43k.Mass_Concentration_Land (1.0e-6g/cm^2) Estimated Column Mass(per area) using assumed mass extinction efficiency Satellite.modis.mod43k.Number_Pixels_Used_Ocean (-) Number of pixels used for ocean retrieval at 865 nm Satellite.modis.mod43k.Optical_Depth_Land_And_Ocean (-) AOT at 0.55 micron for both ocean (average) (quality flag=1,2,3) and land (corrected) (quality flag=3) Satellite.modis.mod43k.Optical_Depth_Ratio_Small_Land (-) Fraction of AOT contributed by fine dominated model Satellite.modis.mod43k.Optical_Depth_Ratio_Small_Ocean_0p55micron (-) Fraction of AOT (at 0.55 microns) contributed by fine mode for average solution Satellite.modis.mod43k.Scan_Start_Time (Seconds_since_1993-01-01) TAI Time at Start of Scan replicated across the swath Satellite.modis.mod43k.Scattering_Angle (deg) Scattering angle Satellite.modis.mod43k.Sensor_Azimuth (deg) Sensor azimuth angle, cell to sensor Satellite.modis.mod43k.Sensor_Zenith (deg) Sensor zenith angle, cell to sensor Satellite.modis.mod43k.Solar_Azimuth (deg) Sensor azimuth angle, cell to Sun Satellite.modis.mod43k.Solar_Zenith (deg) Sensor zenith angle, cell to Sun Satellite.modis.mod43k.Topographic_Altitude_Land (km) Terrain height above mean sea level Satellite.modis.mod43k.Wind_Speed_Ncep_Ocean (m/s) Wind speed based on NCEP reanalysis for ocean Satellite.modis.mod6.Cloud_Effective_Emissivity (-) Cloud Effective Emissivity from Cloud Top Pressure Retrieval Satellite.modis.mod6.Cloud_Effective_Emissivity_Day (-) Cloud Effective Emissivity from Cloud Top Pressure Retrieval, Day Only Satellite.modis.mod6.Cloud_Effective_Emissivity_Nadir (-) Cloud Effective Emissivity from Cloud Top Pressure Retrieval for Sensor Zenith (View) Angles not more than 32 Degrees Satellite.modis.mod6.Cloud_Effective_Emissivity_Nadir_Day (-) Cloud Effective Emissivity from Cloud Top Pressure Retrieval for Sensor Zenith (View) Angles not more than 32 Degrees, Day Data Only Satellite.modis.mod6.Cloud_Effective_Emissivity_Nadir_Night (-) Cloud Effective Emissivity from Cloud Top Pressure Retrieval for Sensor Zenith (View) Angles not more than 32 Degrees, Night Data Only Satellite.modis.mod6.Cloud_Effective_Emissivity_Night (-) Cloud Effective Emissivity from Cloud Top Pressure Retrieval, Night Only Satellite.modis.mod6.Cloud_Fraction (-) Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask Satellite.modis.mod6.Cloud_Fraction_Day (-) Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask, Day Only Satellite.modis.mod6.Cloud_Fraction_Nadir (-) Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask for Sensor Zenith (View) Angles not more than 32 Degrees Satellite.modis.mod6.Cloud_Fraction_Nadir_Day (-) Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask for Sensor Zenith (View) Angles not more than 32 Degrees, Day Data Only Satellite.modis.mod6.Cloud_Fraction_Nadir_Night (-) Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask for Sensor Zenith (View) Angles not more than 32 Degrees, Night Data Only Satellite.modis.mod6.Cloud_Fraction_Night (-) Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask, Night Only Satellite.modis.mod6.Cloud_Height_Method (-) Index Indicating MODIS Bands Used for Cloud Top Pressure Retrieval Satellite.modis.mod6.Cloud_Phase_Infrared (-) Cloud Phase from 8.5 and 11 um Bands Satellite.modis.mod6.Cloud_Phase_Infrared_Day (-) Cloud Phase from 8.5 and 11 um Bands, Day Only Satellite.modis.mod6.Cloud_Phase_Infrared_Night (-) Cloud Phase from 8.5 and 11 um Bands, Night Only Satellite.modis.mod6.Cloud_Top_Height (m) Geopotential Height at Retrieved Cloud Top Pressure Level (rounded to nearest 50m) Satellite.modis.mod6.Cloud_Top_Height_Nadir (m) Geopotential Height at Retrieved Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees (rounded to nearest 50m) Satellite.modis.mod6.Cloud_Top_Height_Nadir_Day (m) Geopotential Height at Retrieved Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees, Day Data Only (rounded to nearest 50m) Satellite.modis.mod6.Cloud_Top_Height_Nadir_Night (m) Geopotential Height at Retrieved Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees, Night Data Only (rounded to nearest 50m) Satellite.modis.mod6.Cloud_Top_Pressure (hPa) Cloud Top Pressure Level (rounded to nearest 5 hPa) Satellite.modis.mod6.Cloud_Top_Pressure_Day (hPa) Cloud Top Pressure Level, Day Data Only (rounded to nearest 5 hPa) Satellite.modis.mod6.Cloud_Top_Pressure_Infrared (hPa) Cloud Top Pressure from IR Window Retrieval Satellite.modis.mod6.Cloud_Top_Pressure_Nadir (hPa) Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees (rounded to nearest 5 hPa) Satellite.modis.mod6.Cloud_Top_Pressure_Nadir_Day (hPa) Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees (rounded to nearest 5 hPa), Day Data Only Satellite.modis.mod6.Cloud_Top_Pressure_Nadir_Night (hPa) Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees (rounded to nearest 5 hPa), Night Data Only Satellite.modis.mod6.Cloud_Top_Pressure_Night (hPa) Cloud Top Pressure Level, Night Data Only (rounded to nearest 5 hPa) Satellite.modis.mod6.Cloud_Top_Temperature (K) Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level Satellite.modis.mod6.Cloud_Top_Temperature_Day (K) Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level, Day Only Satellite.modis.mod6.Cloud_Top_Temperature_Nadir (K) Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees Satellite.modis.mod6.Cloud_Top_Temperature_Nadir_Day (K) Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level for Sensor Zenith (View) Angles not more than 32 Degrees, Day Data Only Satellite.modis.mod6.Cloud_Top_Temperature_Nadir_Night (K) Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level for Sensor Z enith (View) Angles not more than 32 Degrees, NightData Only Satellite.modis.mod6.Cloud_Top_Temperature_Night (K) Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level, Night Only Satellite.modis.mod6.Radiance_Variance (W/m2/sr/micron) Band 31 Radiance Standard Deviation Satellite.modis.mod6.Scan_Start_Time (Seconds_since_1993-01-01) TAI Time at Start of Scan replicated across the swath Satellite.modis.mod6.Sensor_Azimuth (deg) Sensor Azimuth Angle, Cell to Sensor Satellite.modis.mod6.Sensor_Azimuth_Day (deg) Sensor Azimuth Angle, Cell to Sensor, Day Data Only Satellite.modis.mod6.Sensor_Azimuth_Night (deg) Sensor Azimuth Angle, Cell to Sensor, Night Data Only Satellite.modis.mod6.Sensor_Zenith (deg) Solar Zenith Angle, Cell to Sun Satellite.modis.mod6.Sensor_Zenith_Day (deg) Solar Zenith Angle, Cell to Sun, Day Data Only Satellite.modis.mod6.Sensor_Zenith_Night (deg) Solar Zenith Angle, Cell to Sun, Night Data Only Satellite.modis.mod6.Solar_Azimuth (deg) Solar Azimuth Angle, Cell to Sun Satellite.modis.mod6.Solar_Azimuth_Day (deg) Solar Azimuth Angle, Cell to Sun, Day Data Only Satellite.modis.mod6.Solar_Azimuth_Night (deg) Solar Azimuth Angle, Cell to Sun, Night Data Only Satellite.modis.mod6.Solar_Zenith (deg) Sensor Zenith Angle, Cell to Sensor Satellite.modis.mod6.Solar_Zenith_Day (deg) Sensor Zenith Angle, Cell to Sensor, Day Data Only Satellite.modis.mod6.Solar_Zenith_Night (deg) Sensor Zenith Angle, Cell to Sensor, Night Data Only Satellite.modis.mod6.Surface_Pressure (hPa) Surface Pressure from Ancillary Data Satellite.modis.mod6.Surface_Temperature (K) Surface Temperature from Ancillary Data Satellite.modis.mod6.Tropopause_Height (hPa) Tropopause Height from Ancillary Data Satellite.modis.mod7.Cloud_Mask (-) MODIS Cloud Mask, First Byte Satellite.modis.mod7.K_Index (K) K Index Satellite.modis.mod7.Lifted_Index (K) Lifted Index Satellite.modis.mod7.Scan_Start_Time (Seconds_since_1993-01-01) TAI Time at Start of Scan replicated across the swath Satellite.modis.mod7.Sensor_Azimuth (deg) Sensor Azimuth Angle, Cell to Sensor Satellite.modis.mod7.Sensor_Zenith (deg) Sensor Zenith Angle, Cell to Sensor Satellite.modis.mod7.Skin_Temperature (K) Skin Temperature Satellite.modis.mod7.Solar_Azimuth (deg) Solar Azimuth Angle, Cell to Sun Satellite.modis.mod7.Solar_Zenith (deg) Solar Zenith Angle, Cell to Sun Satellite.modis.mod7.Surface_Elevation (m) Surface Elevation Satellite.modis.mod7.Surface_Pressure (hPa) Surface Pressure Satellite.modis.mod7.Total_Ozone (Dobson) Total Ozone Burden Satellite.modis.mod7.Total_Totals (K) Total Totals Satellite.modis.mod7.Tropopause_Height (hPa) Tropopause Height Satellite.modis.mod7.Water_Vapor (cm) Total Column Precipitable Water Vapor - IR Retrieval Satellite.modis.mod7.Water_Vapor_Direct (cm) Total Column Precipitable Water Vapor - Direct IR Retrieval Satellite.modis.mod7.Water_Vapor_High (cm) Precipitable Water Vapor High - IR Retrieval Satellite.modis.mod7.Water_Vapor_Low (cm) Precipitable Water Vapor Low - IR Retrieval Satellite.omi.l2.omcldrr.Chlorophyll (mg/m3) Chlorophyll Concentration. Satellite.omi.l2.omcldrr.CloudFractionforO3 (-) Cloud Fraction for O3. Satellite.omi.l2.omcldrr.CloudPressureforO3 (hPa) Cloud pressure for O3. Satellite.omi.l2.omcldrr.CloudPressureforO3_uncorrected (hPa) Cloud pressure for O3 uncorrected. Satellite.omi.l2.omcldrr.Convergence_factor (-) Convergence factor. Satellite.omi.l2.omcldrr.GroundPixelQualityFlags (-) Ground pixel quality flags. Satellite.omi.l2.omcldrr.ProcessingQualityFlagsforO3 (-) Processing Quality Flags for O3. Satellite.omi.l2.omcldrr.RadiativeCloudFraction (-) Radiative Cloud Fraction. Satellite.omi.l2.omcldrr.Reflectivity (-) Reflectivirty. Satellite.omi.l2.omcldrr.RelativeAzimuthAngle (deg) Relative Azimuth Angle. Satellite.omi.l2.omcldrr.Residual_bias (-) Residual bias. Satellite.omi.l2.omcldrr.Residual_stddev (-) Residual standard deviation. Satellite.omi.l2.omcldrr.SolarZenithAngle (deg) Solar zenith Angle. Satellite.omi.l2.omcldrr.SurfaceReflectivity (-) Surface Reflectivity Climatology TOMS. Satellite.omi.l2.omcldrr.TerrainHeight (m) Terrain height. Satellite.omi.l2.omcldrr.TerrainPressure (hPa) Terrain pressure. Satellite.omi.l2.omcldrr.ViewingZenithAngle (deg) Viewing zenith Angle. Satellite.omi.l2.omcldrr.WavelengthShift (nm) Radiance (fractional) refl. sens. Satellite.omi.l2.omcldrr.XTrackQualityFlags (-) Cross Track Quality Flags. Satellite.omi.l2.omno2.AMFQualityFlags (-) Air mass factor quality flags. Satellite.omi.l2.omno2.AlgorithmFlags (-) Algorithm quality flags. Satellite.omi.l2.omno2.AmfStrat (-) Stratospheric air mass factor. Satellite.omi.l2.omno2.AmfStratClear (-) Clear-sky stratospheric air mass factor. Satellite.omi.l2.omno2.AmfStratCloudy (-) Cloudy-sky stratospheric air mass factor. Satellite.omi.l2.omno2.AmfStratStd (-) Uncertainty of stratospheric air mass factor. Satellite.omi.l2.omno2.AmfTrop (-) Tropospheric air mass factor. Satellite.omi.l2.omno2.AmfTropClear (-) Clear-sky tropospheric air mass factor. Satellite.omi.l2.omno2.AmfTropCloudy (-) Cloudy-sky tropospheric air mass factor. Satellite.omi.l2.omno2.AmfTropStd (-) Uncertainty of tropospheric air mass factor. Satellite.omi.l2.omno2.CloudFraction (-) Effective cloud fraction. Satellite.omi.l2.omno2.CloudFraction (-) Uncertainty of effective cloud fraction. Satellite.omi.l2.omno2.CloudPressure (hPa) Cloud optical centroid pressure. Satellite.omi.l2.omno2.CloudPressureStd (hPa) Uncertainty of cloud optical centroid pressure. Satellite.omi.l2.omno2.CloudRadianceFraction (-) Radiative cloud fraction at 440 nm. Satellite.omi.l2.omno2.ColumnAmountNO2 (molecules/cm2) Column amount NO2. Satellite.omi.l2.omno2.ColumnAmountNO2Std (molecules/cm2) Column amount NO2 standard deviation. Satellite.omi.l2.omno2.ColumnAmountNO2Strat (molecules/cm2) Stratospheric column amount NO2. Satellite.omi.l2.omno2.ColumnAmountNO2StratStd (molecules/cm2) Stratospheric column amount NO2 standard deviation. Satellite.omi.l2.omno2.ColumnAmountNO2Trop (molecules/cm2) Tropospheric column amount NO2. Satellite.omi.l2.omno2.ColumnAmountNO2TropStd (molecules/cm2) Tropospheric column amount NO2 standard deviation. Satellite.omi.l2.omno2.ScdApStrat (molecules/cm2) A priori stratospheric slant column density of nitrogen dioxide. Satellite.omi.l2.omno2.ScdApTrop (molecules/cm2) A priori tropospheric slant column density of nitrogen dioxide. Satellite.omi.l2.omno2.SceneLER (-) Retrieved scene pressure. Satellite.omi.l2.omno2.ScenePressure (hPa) Lambertian equivalent reflectivity for the scene (clear and cloudy). Satellite.omi.l2.omno2.SlantColumnAmountCHOCHO (molecules/cm2) Slant column amount CHOCHO. Satellite.omi.l2.omno2.SlantColumnAmountCHOCHOStd (molecules/cm2) Slant column amount CHOCHO standard deviation. Satellite.omi.l2.omno2.SlantColumnAmountH2O (molecules/cm2) Slant column amount H20. Satellite.omi.l2.omno2.SlantColumnAmountH2OStd (molecules/cm2) Slant column amount H20 standard deviation. Satellite.omi.l2.omno2.SlantColumnAmountNO2 (molecules/cm2) Slant column amount NO2. Satellite.omi.l2.omno2.SlantColumnAmountNO2Destriped (molecules/cm2) Slant column amount NO2 destriped. Satellite.omi.l2.omno2.SlantColumnAmountNO2Std (molecules/cm2) Slant column amount NO2 standard deviation. Satellite.omi.l2.omno2.SolarAzimuthAngle (deg) Solar azimuth angle at pixel center. Satellite.omi.l2.omno2.SolarZenithAngle (deg) Solar zenith angle at pixel center. Satellite.omi.l2.omno2.TerrainHeight (m) Average terrain height over the pixel (DEM). Satellite.omi.l2.omno2.TerrainPressure (hPa) Average terrain pressure over the pixel. Satellite.omi.l2.omno2.TerrainReflectivity (-) Terrain reflectivity over the pixel (GLER440). Satellite.omi.l2.omno2.TropopausePressure (hPa) Pressure of the tropopause. Satellite.omi.l2.omno2.VcdApBelowCloud (molecules/cm2) A priori below-cloud vertical column density of nitrogen dioxide. Satellite.omi.l2.omno2.VcdApStrat (molecules/cm2) A priori stratospheric vertical column density of nitrogen dioxide. Satellite.omi.l2.omno2.VcdApTrop (molecules/cm2) A priori tropospheric vertical column density of nitrogen dioxide. Satellite.omi.l2.omno2.VcdQualityFlags (-) VCD quality flags. Satellite.omi.l2.omno2.ViewingAzimuthAngle (deg) Viewing azimuth angle at pixel center. Satellite.omi.l2.omno2.ViewingZenithAngle (deg) Viewing zenith angle at pixel center. Satellite.omi.l2.omno2.XTrackQualityFlags (-) X-track quality flags. Satellite.omi.l2.omto3.AlgorithmFlags (-) Algorithm Flags. Satellite.omi.l2.omto3.CloudPressure (hPa) Effective Cloud Pressure. Satellite.omi.l2.omto3.ColumnAmountO3 (DU) Best Total Ozone Solution. Satellite.omi.l2.omto3.GroundPixelQualityFlags (-) Ground pixel quality flags. Satellite.omi.l2.omto3.LandWaterClassification (-) Land / Water Classification. Satellite.omi.l2.omto3.O3BelowCloud (DU) Ozone Below Fractional Cloud. Satellite.omi.l2.omto3.QualityFlags (-) Quality Flags. Satellite.omi.l2.omto3.RadianceBadPixelFlagAccepted (-) Radiance Bad Pixel Flag Accepted. Satellite.omi.l2.omto3.RadiativeCloudFraction (-) Radiative Cloud Fraction = fc*Ic331/Im331. Satellite.omi.l2.omto3.Reflectivity331 (%) Effective Surface Reflectivity at 331 nm. Satellite.omi.l2.omto3.Reflectivity360 (%) Effective Surface Reflectivity at 360 nm. Satellite.omi.l2.omto3.RelativeAzimuthAngle (deg) Relative Azimuth Angle (sun + 180 - view). Satellite.omi.l2.omto3.SO2index (-) SO2 index. Satellite.omi.l2.omto3.SolarAzimuthAngle (deg) Solar azimuth angle at pixel center. Satellite.omi.l2.omto3.SolarZenithAngle (deg) Solar zenith angle at pixel center. Satellite.omi.l2.omto3.StepOneO3 (DU) Step 1 Ozone Solution. Satellite.omi.l2.omto3.StepTwoO3 (DU) Step 2 Ozone Solution. Satellite.omi.l2.omto3.TerrainHeight (m) Average terrain height over the pixel (DEM). Satellite.omi.l2.omto3.TerrainPressure (hPa) Terrain pressure. Satellite.omi.l2.omto3.UVAerosolIndex (-) UV Aerosol Index. Satellite.omi.l2.omto3.ViewingAzimuthAngle (deg) Viewing azimuth angle at pixel center. Satellite.omi.l2.omto3.ViewingZenithAngle (deg) Viewing zenith angle at pixel center. Satellite.omi.l2.omto3.WaterFraction (%) Percent water fraction. Satellite.omi.l2.omto3.XTrackQualityFlags (-) Cross Track Quality Flags. Satellite.omi.l2.omto3.fc (-) Mixed LER Model (Cloud Fraction) Parameter. Satellite.omibehr.AMFStrat (-) Stratospheric air mass factor. Satellite.omibehr.AMFTrop (-) Tropospheric air mass factor (standard product). Satellite.omibehr.BEHRAMFTrop (-) Tropospheric air mass factor (BEHR) calculated with MODIS Albedo, GLOBE Terr. Pres., and 12 km NO2 profiles. Satellite.omibehr.BEHRAMFTropVisOnly (-) Tropospheric air mass factor visible-only (BEHR) calculated with MODIS Albedo, GLOBE Terr. Pres., and 12 km NO2 profiles. Satellite.omibehr.BEHRColumnAmountNO2Trop (molecules/cm2) Tropospheric NO2 vertical column density (BEHR) calculated as SCD_trop / AMF_BEHR. Satellite.omibehr.BEHRColumnAmountNO2TropVisOnly (molecules/cm2) Tropospheric NO2 vertical column density visible-only (BEHR) calculated as SCD_trop / AMF_BEHR. Satellite.omibehr.CloudFraction (-) OMI geometric cloud fraction. Satellite.omibehr.CloudPressure (hPa) OMI cloud top pressure. Satellite.omibehr.CloudRadianceFraction (-) OMI cloud radiance (top of atmosphere light fraction). Satellite.omibehr.ColumnAmountNO2 (molecules/cm2) Total NO2 vertical column density. Satellite.omibehr.ColumnAmountNO2Strat (molecules/cm2) Stratospheric NO2 vertical column density. Satellite.omibehr.ColumnAmountNO2Trop (molecules/cm2) Tropospheric NO2 vertical column density (standard product). Satellite.omibehr.ColumnAmountNO2TropStd (molecules/cm2) Standard deviation of SP NO2 tropospheric vertical column density. Satellite.omibehr.GLOBETerpres (hPa) Terrain pressure derived from GLOBE (1 x 1 km) topography using standard scale height relation, avg. to OMI pixel. Satellite.omibehr.MODISAlbedo (-) MODIS MCD43C3 16-day avg. window every 8 days, avg. to OMI pixel. Satellite.omibehr.MODISCloud (-) MODIS MYD06_L2 5 x 5 km cloud fraction, avg. to OMI pixel. Satellite.omibehr.RelativeAzimuthAngle (deg) Calculated azimuth angle between sun and satellite. Satellite.omibehr.Row (-) Across track row number, 0 based. Satellite.omibehr.SlantColumnAmountNO2 (molecules/cm2) Total NO2 slant column density. Satellite.omibehr.SolarAzimuthAngle (deg) Solar azimuth angle. Satellite.omibehr.SolarZenithAngle (deg) Solar zenith angle. Satellite.omibehr.Swath (-) Swath number since OMI launch. Satellite.omibehr.TerrainHeight (m) Terrain height. Satellite.omibehr.TerrainPressure (hPa) Terrain pressure. Satellite.omibehr.TerrainReflectivity (-) Terrain albedo (OMI albedo product). Satellite.omibehr.ViewingAzimuthAngle (deg) Viewing azimuth angle. Satellite.omibehr.ViewingZenithAngle (deg) Viewing zenith angle. Satellite.omibehrioapi.no2 (molecules/cm2) IOAPI lonlat regridded OMI-BEHR satellite-measured total column NO2. Satellite.regridded.conus.monthly.tropomi.offl.ch4 (molecules/cm2) CONUS regridded monthly mean offline tropospheric vertical column of methane. Satellite.regridded.conus.monthly.tropomi.offl.co (molecules/cm2) CONUS regridded monthly mean offline tropospheric vertical column of carbon monoxide. Satellite.regridded.conus.monthly.tropomi.offl.hcho (molecules/cm2) CONUS regridded monthly mean offline tropospheric vertical column of formaldehyde. Satellite.regridded.conus.monthly.tropomi.offl.no2 (molecules/cm2) CONUS regridded monthly mean offline tropospheric vertical column of nitrogen dioxide. Satellite.regridded.conus.monthly.tropomi.rpro.no2 (molecules/cm2) CONUS regridded monthly mean reprocessed tropospheric vertical column of nitrogen dioxide. Satellite.regridded.conus.seasonal.tropomi.offl.ch4 (molecules/cm2) CONUS regridded seasonal mean offline tropospheric vertical column of methane. Satellite.regridded.conus.seasonal.tropomi.offl.co (molecules/cm2) CONUS regridded seasonal mean offline tropospheric vertical column of carbon monoxide. Satellite.regridded.conus.seasonal.tropomi.offl.hcho (molecules/cm2) CONUS regridded seasonal mean offline tropospheric vertical column of formaldehyde. Satellite.regridded.conus.seasonal.tropomi.offl.no2 (molecules/cm2) CONUS regridded seasonal mean offline tropospheric vertical column of nitrogen dioxide. Satellite.tempo.l2.cldo4.CloudRadianceFraction440 (-) Cloud radiance fraction at 440nm. Satellite.tempo.l2.cldo4.CloudRadianceFraction466 (-) Cloud radiance fraction at 466nm. Satellite.tempo.l2.cldo4.GLER440 (-) 440nm surface reflectivity used in calculation. Satellite.tempo.l2.cldo4.GLER466 (-) 466nm surface reflectivity used in calculation. Satellite.tempo.l2.cldo4.SCD_MainDataQualityFlags (-) Main data quality flags for fitted_slant_column: 0=normal, 1=suspicious, 2=bad. Satellite.tempo.l2.cldo4.SceneLER440 (hPa) LER at 440nm calculated at ScenePressure. Satellite.tempo.l2.cldo4.SceneLER466 (hPa) LER at 466nm calculated at ScenePressure. Satellite.tempo.l2.cldo4.ScenePressure (hPa) Scene pressure. Satellite.tempo.l2.cldo4.cloud_fraction (-) Effective cloud fraction at 466nm. Satellite.tempo.l2.cldo4.cloud_pressure (hPa) Optical centroid pressure for cloud. Satellite.tempo.l2.cldo4.fit_convergence_flag (-) failed maxiter_exceeded suspect good. Satellite.tempo.l2.cldo4.fit_rms_residual (-) Radiance fit RMS residual. Satellite.tempo.l2.cldo4.fitted_slant_column (molecules2/cm5) Collision induced oxygen complex fitted slant column. Satellite.tempo.l2.cldo4.fitted_slant_column_uncertainty (molecules2/cm5) Collision induced oxygen complex fitted slant column uncertainty. Satellite.tempo.l2.cldo4.ground_pixel_quality_flag (-) shallow_ocean land shallow_inland_water shoreline intermittent_water deep_inland_water continental_shelf_ocean deep_ocean land_water_error sun_glint_possibility solar_eclipse_possibility water evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forest closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built_up cropland_natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated unclassified fill_value. Satellite.tempo.l2.cldo4.processing_quality_flag (-) 0_error_geoloc_or_angles 1_warn_466nm_crf_invalid 2_warn_ocp_repaced for_small_ecf 3_error_input_psurf_albedo 4_warn_ocp_replaced_for_snowice 5_warn_ocp_scd_iteration_exceeds_max 6_error_scd_negative_or_bad 7_info_440nm_rad_or_irr_error 8_error_466nm_rad_or_irr_error 9_warn_ecf_beyond_normal_range 10_info_pscene_SurfaceLER_TerrainP_invalid 11_info_pscene_SceneLER_SceneP_invalid 12_error_ecf_calc_skipped 13_error_ocp_calc_skipped 14_warning_ocp_beyond_normal_range 15_info_pscene_calc_skipped 16-29_unused_set_to_zero (4-byte only) 30-31_reserved_set_to_zero (4-byte only). Satellite.tempo.l2.cldo4.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l2.cldo4.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l2.cldo4.solar_azimuth_angle (deg) Solar azimuth angle at pixel center. Satellite.tempo.l2.cldo4.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.cldo4.surface_pressure (hPa) Surface pressure. Satellite.tempo.l2.cldo4.terrain_height (m) Terrain height. Satellite.tempo.l2.cldo4.viewing_azimuth_angle (deg) Viewing azimuth angle at pixel center. Satellite.tempo.l2.cldo4.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l2.hcho.albedo (-) Surface albedo. Satellite.tempo.l2.hcho.amf (-) Total formaldehyde air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l2.hcho.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l2.hcho.amf_cloud_pressure (-) Cloud pressure for AMF computation. Satellite.tempo.l2.hcho.amf_diagnostic_flag (-) Geometric_AMF glint snow_correction no_cloud_pressure adjusted_surface_pressure adjusted_cloud_pressure no_albedo no_cloud_fraction no_gas_profile no_scattering_weights AMF_disabled. Satellite.tempo.l2.hcho.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l2.hcho.fit_convergence_flag (-) failed maxiter_exceeded suspect good. Satellite.tempo.l2.hcho.fit_rms_residual (-) Radiance fit RMS residual. Satellite.tempo.l2.hcho.fitted_slant_column (molecules/cm2) Formaldehyde fitted slant column. Satellite.tempo.l2.hcho.fitted_slant_column_uncertainty (molecules/cm2) Formaldehyde fitted slant column uncertainty. Satellite.tempo.l2.hcho.ground_pixel_quality_flag (-) shallow_ocean land shallow_inland_water shoreline intermittent_water deep_inland_water continental_shelf_ocean deep_ocean land_water_error sun_glint_possibility solar_eclipse_possibility water evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forest closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built_up cropland_natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated unclassified fill_value. Satellite.tempo.l2.hcho.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l2.hcho.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l2.hcho.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l2.hcho.solar_azimuth_angle (deg) Solar azimuth angle at pixel center. Satellite.tempo.l2.hcho.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.hcho.surface_pressure (hPa) Surface pressure. Satellite.tempo.l2.hcho.terrain_height (m) Terrain height. Satellite.tempo.l2.hcho.vertical_column (molecules/cm2) Formaldehyde vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere. Satellite.tempo.l2.hcho.vertical_column_uncertainty (molecules/cm2) Formaldehyde vertical column uncertainty. Satellite.tempo.l2.hcho.vertical_column_uncertainty (molecules/cm2) Formaldehyde vertical column uncertainty. Satellite.tempo.l2.hcho.viewing_azimuth_angle (deg) Viewing azimuth angle at pixel center. Satellite.tempo.l2.hcho.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l2.no2.albedo (-) Surface albedo. Satellite.tempo.l2.no2.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l2.no2.amf_cloud_pressure (-) Cloud pressure for AMF computation. Satellite.tempo.l2.no2.amf_diagnostic_flag (-) geometric_AMF glint snow_correction no_cloud_pressure adjusted_surface_pressure adjusted_cloud_pressure no_albedo no_cloud_fraction no_gas_profile no_scattering_weights AMF_disabled. Satellite.tempo.l2.no2.amf_stratosphere (-) Nitrogen dioxide stratospheric air mass factor. Satellite.tempo.l2.no2.amf_total (-) Total nitrogen dioxide air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l2.no2.amf_troposphere (-) Nitrogen dioxide tropospheric air mass factor. Satellite.tempo.l2.no2.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l2.no2.fit_convergence_flag (-) failed maxiter_exceeded suspect good. Satellite.tempo.l2.no2.fit_rms_residual (-) Radiance fit RMS residual. Satellite.tempo.l2.no2.fitted_slant_column (molecules/cm2) Nitrogen dioxide fitted slant column. Satellite.tempo.l2.no2.fitted_slant_column_uncertainty (molecules/cm2) Nitrogen dioxide fitted slant column uncertainty. Satellite.tempo.l2.no2.ground_pixel_quality_flag (-) shallow_ocean land shallow_inland_water shoreline intermittent_water deep_inland_water continental_shelf_ocean deep_ocean land_water_error sun_glint_possibility solar_eclipse_possibility water evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forest closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built_up cropland_natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated unclassified fill_value. Satellite.tempo.l2.no2.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l2.no2.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l2.no2.relative_azimuth_angle (deg) Relative azimuthangle at pixel center. Satellite.tempo.l2.no2.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l2.no2.solar_azimuth_angle (deg) Solar azimuth angle at pixel center. Satellite.tempo.l2.no2.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.no2.surface_pressure (hPa) Surface pressure. Satellite.tempo.l2.no2.terrain_height (m) Terrain height. Satellite.tempo.l2.no2.tropopause_pressure (hPa) Tropopause pressure. Satellite.tempo.l2.no2.vertical_column_stratosphere (molecules/cm2) Stratosphere nitrogen dioxide vertical column. Satellite.tempo.l2.no2.vertical_column_sum (molecules/cm2) Nitrogen dioxide vertical column sum of vertical_column_troposphere and vertical_column_stratosphere. Satellite.tempo.l2.no2.vertical_column_total (molecules/cm2) Nitrogen dioxide vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere. Satellite.tempo.l2.no2.vertical_column_total_uncertainty (molecules/cm2) Nitrogen dioxide vertical column uncertainty. Satellite.tempo.l2.no2.vertical_column_troposphere (molecules/cm2) Troposphere nitrogen dioxide vertical column. Satellite.tempo.l2.no2.vertical_column_troposphere_uncertainty (molecules/cm2) Troposphere nitrogen dioxide vertical column uncertainty. Satellite.tempo.l2.no2.viewing_azimuth_angle (deg) Viewing azimuth angle at pixel center. Satellite.tempo.l2.no2.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l2.nrt.cldo4.CloudRadianceFraction440 (-) Cloud radiance fraction at 440nm. Satellite.tempo.l2.nrt.cldo4.CloudRadianceFraction466 (-) Cloud radiance fraction at 466nm. Satellite.tempo.l2.nrt.cldo4.GLER440 (-) 440nm surface reflectivity used in calculation. Satellite.tempo.l2.nrt.cldo4.GLER466 (-) 466nm surface reflectivity used in calculation. Satellite.tempo.l2.nrt.cldo4.SCD_MainDataQualityFlags (-) Main data quality flags for fitted_slant_column: 0=normal, 1=suspicious, 2=bad. Satellite.tempo.l2.nrt.cldo4.SceneLER440 (hPa) LER at 440nm calculated at ScenePressure. Satellite.tempo.l2.nrt.cldo4.SceneLER466 (hPa) LER at 466nm calculated at ScenePressure. Satellite.tempo.l2.nrt.cldo4.ScenePressure (hPa) Scene pressure. Satellite.tempo.l2.nrt.cldo4.cloud_fraction (-) Effective cloud fraction at 466nm. Satellite.tempo.l2.nrt.cldo4.cloud_pressure (hPa) Optical centroid pressure for cloud. Satellite.tempo.l2.nrt.cldo4.fit_convergence_flag (-) failed maxiter_exceeded suspect good. Satellite.tempo.l2.nrt.cldo4.fit_rms_residual (-) Radiance fit RMS residual. Satellite.tempo.l2.nrt.cldo4.fitted_slant_column (molecules2/cm5) Collision induced oxygen complex fitted slant column. Satellite.tempo.l2.nrt.cldo4.fitted_slant_column_uncertainty (molecules2/cm5) Collision induced oxygen complex fitted slant column uncertainty. Satellite.tempo.l2.nrt.cldo4.ground_pixel_quality_flag (-) shallow_ocean land shallow_inland_water shoreline intermittent_water deep_inland_water continental_shelf_ocean deep_ocean land_water_error sun_glint_possibility solar_eclipse_possibility water evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forest closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built_up cropland_natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated unclassified fill_value. Satellite.tempo.l2.nrt.cldo4.pbl_height (m) Planetary boundary layer height. Satellite.tempo.l2.nrt.cldo4.processing_quality_flag (-) 0_error_geoloc_or_angles 1_warn_466nm_crf_invalid 2_warn_ocp_repaced for_small_ecf 3_error_input_psurf_albedo 4_warn_ocp_replaced_for_snowice 5_warn_ocp_scd_iteration_exceeds_max 6_error_scd_negative_or_bad 7_info_440nm_rad_or_irr_error 8_error_466nm_rad_or_irr_error 9_warn_ecf_beyond_normal_range 10_info_pscene_SurfaceLER_TerrainP_invalid 11_info_pscene_SceneLER_SceneP_invalid 12_error_ecf_calc_skipped 13_error_ocp_calc_skipped 14_warning_ocp_beyond_normal_range 15_info_pscene_calc_skipped 16-29_unused_set_to_zero (4-byte only) 30-31_reserved_set_to_zero (4-byte only). Satellite.tempo.l2.nrt.cldo4.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l2.nrt.cldo4.scddes (molecules2/cm5) Destriped column amount. Satellite.tempo.l2.nrt.cldo4.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l2.nrt.cldo4.solar_azimuth_angle (deg) Solar azimuth angle at pixel center. Satellite.tempo.l2.nrt.cldo4.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.nrt.cldo4.surface_pressure (hPa) Surface pressure. Satellite.tempo.l2.nrt.cldo4.terrain_height (m) Terrain height. Satellite.tempo.l2.nrt.cldo4.viewing_azimuth_angle (deg) Viewing azimuth angle at pixel center. Satellite.tempo.l2.nrt.cldo4.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l2.nrt.hcho.albedo (-) Surface albedo. Satellite.tempo.l2.nrt.hcho.amf (-) Total formaldehyde air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l2.nrt.hcho.amf_clear_sky (-) Total formaldehyde air mass factor (AMF) calculated from surface to top of atmosphere assuming 0 cloud fraction. Satellite.tempo.l2.nrt.hcho.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l2.nrt.hcho.amf_cloud_pressure (-) Cloud pressure for AMF computation. Satellite.tempo.l2.nrt.hcho.amf_diagnostic_flag (-) Geometric_AMF glint snow_correction no_cloud_pressure adjusted_surface_pressure adjusted_cloud_pressure no_albedo no_cloud_fraction no_gas_profile no_scattering_weights AMF_disabled. Satellite.tempo.l2.nrt.hcho.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l2.nrt.hcho.fit_convergence_flag (-) failed maxiter_exceeded suspect good. Satellite.tempo.l2.nrt.hcho.fit_rms_residual (-) Radiance fit RMS residual. Satellite.tempo.l2.nrt.hcho.fitted_slant_column (molecules/cm2) Formaldehyde fitted slant column. Satellite.tempo.l2.nrt.hcho.fitted_slant_column_uncertainty (molecules/cm2) Formaldehyde fitted slant column uncertainty. Satellite.tempo.l2.nrt.hcho.ground_pixel_quality_flag (-) shallow_ocean land shallow_inland_water shoreline intermittent_water deep_inland_water continental_shelf_ocean deep_ocean land_water_error sun_glint_possibility solar_eclipse_possibility water evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forest closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built_up cropland_natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated unclassified fill_value. Satellite.tempo.l2.nrt.hcho.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l2.nrt.hcho.pbl_height (m) Planetary boundary layer height. Satellite.tempo.l2.nrt.hcho.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l2.nrt.hcho.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l2.nrt.hcho.solar_azimuth_angle (deg) Solar azimuth angle at pixel center. Satellite.tempo.l2.nrt.hcho.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.nrt.hcho.surface_pressure (hPa) Surface pressure. Satellite.tempo.l2.nrt.hcho.terrain_height (m) Terrain height. Satellite.tempo.l2.nrt.hcho.vertical_column (molecules/cm2) Formaldehyde vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere. Satellite.tempo.l2.nrt.hcho.vertical_column_uncertainty (molecules/cm2) Formaldehyde vertical column uncertainty. Satellite.tempo.l2.nrt.hcho.vertical_column_uncertainty (molecules/cm2) Formaldehyde vertical column uncertainty. Satellite.tempo.l2.nrt.hcho.viewing_azimuth_angle (deg) Viewing azimuth angle at pixel center. Satellite.tempo.l2.nrt.hcho.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l2.nrt.hcho.wind_speed (m/s) 2-meter wind speed determined from the Eastward and Northward components. Satellite.tempo.l2.nrt.no2.albedo (-) Surface albedo. Satellite.tempo.l2.nrt.no2.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l2.nrt.no2.amf_cloud_pressure (-) Cloud pressure for AMF computation. Satellite.tempo.l2.nrt.no2.amf_diagnostic_flag (-) geometric_AMF glint snow_correction no_cloud_pressure adjusted_surface_pressure adjusted_cloud_pressure no_albedo no_cloud_fraction no_gas_profile no_scattering_weights AMF_disabled. Satellite.tempo.l2.nrt.no2.amf_stratosphere (-) Nitrogen dioxide stratospheric air mass factor. Satellite.tempo.l2.nrt.no2.amf_stratosphere_clear_sky (-) Stratophere nitrogen dioxide air mass factor (AMF) calculated from surface to top of atmosphere assuming 0 cloud fraction. Satellite.tempo.l2.nrt.no2.amf_total (-) Total nitrogen dioxide air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l2.nrt.no2.amf_total_clear_sky (-) Total nitrogen dioxide air mass factor (AMF) calculated from surface to top of atmosphere assuming 0 cloud fraction. Satellite.tempo.l2.nrt.no2.amf_troposphere (-) Nitrogen dioxide tropospheric air mass factor. Satellite.tempo.l2.nrt.no2.amf_troposphere_clear_sky (-) Troposphere nitrogen dioxide air mass factor (AMF) calculated from surface to top of atmosphere assuming 0 cloud fraction. Satellite.tempo.l2.nrt.no2.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l2.nrt.no2.fit_convergence_flag (-) failed maxiter_exceeded suspect good. Satellite.tempo.l2.nrt.no2.fit_rms_residual (-) Radiance fit RMS residual. Satellite.tempo.l2.nrt.no2.fitted_slant_column (molecules/cm2) Nitrogen dioxide fitted slant column. Satellite.tempo.l2.nrt.no2.fitted_slant_column_uncertainty (molecules/cm2) Nitrogen dioxide fitted slant column uncertainty. Satellite.tempo.l2.nrt.no2.ground_pixel_quality_flag (-) shallow_ocean land shallow_inland_water shoreline intermittent_water deep_inland_water continental_shelf_ocean deep_ocean land_water_error sun_glint_possibility solar_eclipse_possibility water evergreen_needleleaf_forest evergreen_broadleaf_forest deciduous_needleleaf_forest deciduous_broadleaf_forest mixed_forest closed_shrublands open_shrublands woody_savannas savannas grasslands permanent_wetlands croplands urban_and_built_up cropland_natural_vegetation_mosaic snow_and_ice barren_or_sparsely_vegetated unclassified fill_value. Satellite.tempo.l2.nrt.no2.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l2.nrt.no2.pbl_height (m) Planetary boundary layer height. Satellite.tempo.l2.nrt.no2.relative_azimuth_angle (deg) Relative azimuthangle at pixel center. Satellite.tempo.l2.nrt.no2.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l2.nrt.no2.solar_azimuth_angle (deg) Solar azimuth angle at pixel center. Satellite.tempo.l2.nrt.no2.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.nrt.no2.surface_pressure (hPa) Surface pressure. Satellite.tempo.l2.nrt.no2.terrain_height (m) Terrain height. Satellite.tempo.l2.nrt.no2.tropopause_pressure (hPa) Tropopause pressure. Satellite.tempo.l2.nrt.no2.vertical_column_stratosphere (molecules/cm2) Stratosphere nitrogen dioxide vertical column. Satellite.tempo.l2.nrt.no2.vertical_column_sum (molecules/cm2) Nitrogen dioxide vertical column sum of vertical_column_troposphere and vertical_column_stratosphere. Satellite.tempo.l2.nrt.no2.vertical_column_total (molecules/cm2) Nitrogen dioxide vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere. Satellite.tempo.l2.nrt.no2.vertical_column_total_uncertainty (molecules/cm2) Nitrogen dioxide vertical column uncertainty. Satellite.tempo.l2.nrt.no2.vertical_column_troposphere (molecules/cm2) Troposphere nitrogen dioxide vertical column. Satellite.tempo.l2.nrt.no2.vertical_column_troposphere_uncertainty (molecules/cm2) Troposphere nitrogen dioxide vertical column uncertainty. Satellite.tempo.l2.nrt.no2.viewing_azimuth_angle (deg) Viewing azimuth angle at pixel center. Satellite.tempo.l2.nrt.no2.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l2.nrt.no2.wind_speed (m/s) 2-meter wind speed determined from the Eastward and Northward components. Satellite.tempo.l2.o3prof.aerosol_index (-) Aerosol index. Satellite.tempo.l2.o3prof.cloud_flag (-) Cloud flag. Satellite.tempo.l2.o3prof.eff_cloud_fraction (-) Effective cloud fraction. Satellite.tempo.l2.o3prof.eff_cloud_pressure (hPa) Effective cloud pressure. Satellite.tempo.l2.o3prof.exit_status (-) retrieval exit status (0 Satellite.tempo.l2.o3prof.glint_probability (-) Probability of sun glint. Satellite.tempo.l2.o3prof.ground_pixel_quality_flag (-) Ground pixel quality flag. Satellite.tempo.l2.o3prof.num_iterations (-) Number of iterations. Satellite.tempo.l2.o3prof.num_wavelengths_in_fit (-) Number of wavelengths used in fitting. Satellite.tempo.l2.o3prof.ozone_apriori_profile (DU) A priori ozone at 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.ozone_apriori_profile_error (DU) Error of a priori ozone at 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.ozone_degree_of_freedom (-) Ozone degree of freedom for signal. Satellite.tempo.l2.o3prof.ozone_information_content (-) Ozone information content. Satellite.tempo.l2.o3prof.ozone_profile (DU) Ozone at 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.ozone_profile_altitude (km) Altitude of each of the 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.ozone_profile_error (DU) Error of ozone at 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.ozone_profile_precision (DU) Precision of ozone at 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.ozone_profile_pressure (hPa) Pressure at each of the 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.ozone_profile_temperature (K) Temperature at each of the 24 layers from the surface up to 100km. Satellite.tempo.l2.o3prof.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l2.o3prof.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.o3prof.stratosphere_ozone_column (DU) Integrated ozone in the stratosphere. Satellite.tempo.l2.o3prof.stratosphere_ozone_error (DU) Error of integrated ozone in the stratosphere. Satellite.tempo.l2.o3prof.stratosphere_ozone_precision (DU) Precision of integrated ozone in the stratosphere. Satellite.tempo.l2.o3prof.surface_albedo (-) Surface albedo. Satellite.tempo.l2.o3prof.total_ozone_column (DU) Integrated total ozone from the surface up to 100km. Satellite.tempo.l2.o3prof.total_ozone_error (DU) Error of integrated total ozone from the surface up to 100km. Satellite.tempo.l2.o3prof.total_ozone_precision (DU) Precision of integrated total ozone from the surface up to 100km. Satellite.tempo.l2.o3prof.tropopause_index (-) Tropopause index. Satellite.tempo.l2.o3prof.troposphere_ozone_column (DU) Integrated ozone in the troposphere. Satellite.tempo.l2.o3prof.troposphere_ozone_error (DU) Error of integrated ozone in the troposphere. Satellite.tempo.l2.o3prof.troposphere_ozone_precision (DU) Precision of integrated ozone in the troposphere. Satellite.tempo.l2.o3prof.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l2.o3tot.algorithm_flags (-) Algorithm_flags. Satellite.tempo.l2.o3tot.cal_adjustment (-) Calibration adjustment. Satellite.tempo.l2.o3tot.cloud_pressure (hPa) Effective cloud pressure. Satellite.tempo.l2.o3tot.column_amount_o3 (DU) Best total ozone solution. Satellite.tempo.l2.o3tot.fc (-) Effective cloud fraction (mixed LER model). Satellite.tempo.l2.o3tot.ground_pixel_quality_flag (-) Ground pixel quality flag. Satellite.tempo.l2.o3tot.lut_wavelength (nm) Lookup table wavelength. Satellite.tempo.l2.o3tot.o3_below_cloud (-) Ozone below fractional cloud". Satellite.tempo.l2.o3tot.quality_flag (-) Quality_flags. Satellite.tempo.l2.o3tot.radiance_bpix_flag_accepted (-) Radiance bad pixel flag accepted. Satellite.tempo.l2.o3tot.radiative_cloud_frac (-) Cloud radiance fraction = fc*Ic331/Im331. Satellite.tempo.l2.o3tot.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l2.o3tot.so2_index (-) SO2 index. Satellite.tempo.l2.o3tot.solar_azimuth_angle (deg) Solar azimuth angle at pixel center. Satellite.tempo.l2.o3tot.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l2.o3tot.step1_o3 (DU) Step 1 ozone solution. Satellite.tempo.l2.o3tot.step2_o3 (DU) Step 2 ozone solution. Satellite.tempo.l2.o3tot.surface_reflectivity_at_331nm (-) Effective surface reflectivity at 331 nm. Satellite.tempo.l2.o3tot.surface_reflectivity_at_360nm (-) Effective surface reflectivity at 360 nm. Satellite.tempo.l2.o3tot.terrain_height (m) Terrain height. Satellite.tempo.l2.o3tot.terrain_pressure (hPa) Terrain pressure. Satellite.tempo.l2.o3tot.uv_aerosol_index (-) UV aerosol index. Satellite.tempo.l2.o3tot.viewing_azimuth_angle (deg) Viewing azimuth angle at pixel center. Satellite.tempo.l2.o3tot.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.cldo4.CloudRadianceFraction440 (-) Cloud radiance fraction at 440nm. Satellite.tempo.l3.cldo4.CloudRadianceFraction466 (-) Cloud radiance fraction at 466nm. Satellite.tempo.l3.cldo4.GLER440 (-) 440nm surface reflectivity used in calculation. Satellite.tempo.l3.cldo4.GLER466 (-) 466nm surface reflectivity used in calculation. Satellite.tempo.l3.cldo4.cloud_fraction (-) Effective cloud fraction at 466nm. Satellite.tempo.l3.cldo4.cloud_pressure (hPa) Optical centroid pressure for cloud. Satellite.tempo.l3.cldo4.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.cldo4.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.cldo4.surface_pressure (hPa) Surface pressure. Satellite.tempo.l3.cldo4.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.cldo4.weight (km2) Sum of Level 2 pixel overlap areas. Satellite.tempo.l3.hcho.albedo (-) Surface albedo. Satellite.tempo.l3.hcho.amf (-) Total formaldehyde air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l3.hcho.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l3.hcho.amf_cloud_pressure (hPa) Cloud pressure for AMF computation. Satellite.tempo.l3.hcho.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l3.hcho.fitted_slant_column (molecules/cm2) Formaldehyde fitted slant column. Satellite.tempo.l3.hcho.fitted_slant_column_uncertainty (molecules/cm2) Formaldehyde fitted slant column uncertainty. Satellite.tempo.l3.hcho.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l3.hcho.max_vertical_column_total_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.hcho.min_vertical_column_total_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.hcho.num_vertical_column_total_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.hcho.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.hcho.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l3.hcho.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.hcho.surface_pressure (hPa) Surface pressure. Satellite.tempo.l3.hcho.terrain_height (m) Terrain height. Satellite.tempo.l3.hcho.vertical_column (molecules/cm2) Formaldehyde vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere. Satellite.tempo.l3.hcho.vertical_column_uncertainty (molecules/cm2) Formaldehyde vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere uncertainty. Satellite.tempo.l3.hcho.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.hcho.weights (km2) Sum of Level 2 pixel overlap areas. Satellite.tempo.l3.no2.albedo (-) Surface albedo. Satellite.tempo.l3.no2.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l3.no2.amf_cloud_pressure (hPa) Cloud pressure for AMF computation. Satellite.tempo.l3.no2.amf_stratosphere (-) Nitrogen dioxide stratospheric air mass factor. Satellite.tempo.l3.no2.amf_total (-) Total nitrogen dioxide air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l3.no2.amf_troposphere (-) Nitrogen dioxide tropospheric air mass factor. Satellite.tempo.l3.no2.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l3.no2.fitted_slant_column (molecules2/cm5) Collision induced oxygen complex fitted slant column. Satellite.tempo.l3.no2.fitted_slant_column_uncertainty (molecules2/cm5) Collision induced oxygen complex fitted slant column uncertainty. Satellite.tempo.l3.no2.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l3.no2.max_vertical_column_stratosphere_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.max_vertical_column_total_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.max_vertical_column_troposphere_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.max_vertical_column_troposphere_uncertainty_sample (molecules/cm2) Uncertainty of largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.min_vertical_column_stratosphere_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.min_vertical_column_total_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.min_vertical_column_troposphere_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.min_vertical_column_troposphere_uncertainty_sample (molecules/cm2) Uncertainty of smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.num_vertical_column_stratosphere_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.num_vertical_column_total_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.num_vertical_column_troposphere_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.num_vertical_column_troposphere_uncertainty_samples (-) Uncertainty of number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.no2.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.no2.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l3.no2.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.no2.surface_pressure (hPa) Surface pressure. Satellite.tempo.l3.no2.terrain_height (m) Terrain height. Satellite.tempo.l3.no2.tropopause_pressure (hPa) Tropopause pressure. Satellite.tempo.l3.no2.vertical_column_stratosphere (molecules2/cm5) Stratosphere nitrogen dioxide vertical column. Satellite.tempo.l3.no2.vertical_column_sum (molecules/cm2) Nitrogen dioxide vertical column sum of vertical_column_troposphere and vertical_column_stratosphere. Satellite.tempo.l3.no2.vertical_column_total (molecules2/cm5) Total nitrogen dioxide vertical column. Satellite.tempo.l3.no2.vertical_column_total_uncertainty (molecules2/cm5) Total nitrogen dioxide vertical column uncertainty. Satellite.tempo.l3.no2.vertical_column_troposphere (molecules2/cm5) Troposphere nitrogen dioxide vertical column. Satellite.tempo.l3.no2.vertical_column_troposphere_uncertainty (molecules2/cm5) Troposphere nitrogen dioxide vertical column uncertainty. Satellite.tempo.l3.no2.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.no2.weight (km2) Sum of area weights. Satellite.tempo.l3.nrt.cldo4.CloudRadianceFraction440 (-) Cloud radiance fraction at 440nm. Satellite.tempo.l3.nrt.cldo4.CloudRadianceFraction466 (-) Cloud radiance fraction at 466nm. Satellite.tempo.l3.nrt.cldo4.GLER440 (-) 440nm surface reflectivity used in calculation. Satellite.tempo.l3.nrt.cldo4.GLER466 (-) 466nm surface reflectivity used in calculation. Satellite.tempo.l3.nrt.cldo4.cloud_fraction (-) Effective cloud fraction at 466nm. Satellite.tempo.l3.nrt.cldo4.cloud_pressure (hPa) Optical centroid pressure for cloud. Satellite.tempo.l3.nrt.cldo4.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.nrt.cldo4.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.nrt.cldo4.surface_pressure (hPa) Surface pressure. Satellite.tempo.l3.nrt.cldo4.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.nrt.cldo4.weight (km2) Sum of Level 2 pixel overlap areas. Satellite.tempo.l3.nrt.hcho.albedo (-) Surface albedo. Satellite.tempo.l3.nrt.hcho.amf (-) Total formaldehyde air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l3.nrt.hcho.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l3.nrt.hcho.amf_cloud_pressure (hPa) Cloud pressure for AMF computation. Satellite.tempo.l3.nrt.hcho.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l3.nrt.hcho.fitted_slant_column (molecules/cm2) Formaldehyde fitted slant column. Satellite.tempo.l3.nrt.hcho.fitted_slant_column_uncertainty (molecules/cm2) Formaldehyde fitted slant column uncertainty. Satellite.tempo.l3.nrt.hcho.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l3.nrt.hcho.max_vertical_column_total_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.hcho.min_vertical_column_total_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.hcho.num_vertical_column_total_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.hcho.pbl_height (m) Planetary boundary layer height. Satellite.tempo.l3.nrt.hcho.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.nrt.hcho.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l3.nrt.hcho.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.nrt.hcho.surface_pressure (hPa) Surface pressure. Satellite.tempo.l3.nrt.hcho.terrain_height (m) Terrain height. Satellite.tempo.l3.nrt.hcho.vertical_column (molecules/cm2) Formaldehyde vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere. Satellite.tempo.l3.nrt.hcho.vertical_column_uncertainty (molecules/cm2) Formaldehyde vertical column determined from fitted slant column and total AMF calculated from surface to top of atmosphere uncertainty. Satellite.tempo.l3.nrt.hcho.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.nrt.hcho.weights (km2) Sum of Level 2 pixel overlap areas. Satellite.tempo.l3.nrt.no2.albedo (-) Surface albedo. Satellite.tempo.l3.nrt.no2.amf_cloud_fraction (-) Cloud radiance fraction for AMF computation. Satellite.tempo.l3.nrt.no2.amf_cloud_pressure (hPa) Cloud pressure for AMF computation. Satellite.tempo.l3.nrt.no2.amf_stratosphere (-) Nitrogen dioxide stratospheric air mass factor. Satellite.tempo.l3.nrt.no2.amf_total (-) Total nitrogen dioxide air mass factor (AMF) calculated from surface to top of atmosphere. Satellite.tempo.l3.nrt.no2.amf_troposphere (-) Nitrogen dioxide tropospheric air mass factor. Satellite.tempo.l3.nrt.no2.eff_cloud_fraction (-) Effective cloud fraction from cloud retrieval. Satellite.tempo.l3.nrt.no2.fitted_slant_column (molecules2/cm5) Collision induced oxygen complex fitted slant column. Satellite.tempo.l3.nrt.no2.fitted_slant_column_uncertainty (molecules2/cm5) Collision induced oxygen complex fitted slant column uncertainty. Satellite.tempo.l3.nrt.no2.main_data_quality_flag (-) Main data quality flag: 0 = normal, 1 = suspect, 2 = bad. Satellite.tempo.l3.nrt.no2.max_vertical_column_stratosphere_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.max_vertical_column_total_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.max_vertical_column_troposphere_sample (molecules/cm2) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.max_vertical_column_troposphere_uncertainty_sample (molecules/cm2) Uncertainty of largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.min_vertical_column_stratosphere_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.min_vertical_column_total_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.min_vertical_column_troposphere_sample (molecules/cm2) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.min_vertical_column_troposphere_uncertainty_sample (molecules/cm2) Uncertainty of smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.num_vertical_column_stratosphere_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.num_vertical_column_total_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.num_vertical_column_troposphere_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.num_vertical_column_troposphere_uncertainty_samples (-) Uncertainty of number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.nrt.no2.pbl_height (m) Planetary boundary layer height. Satellite.tempo.l3.nrt.no2.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.nrt.no2.snow_ice_fraction (-) Fraction of pixel area covered by snow and/or ice. Satellite.tempo.l3.nrt.no2.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.nrt.no2.surface_pressure (hPa) Surface pressure. Satellite.tempo.l3.nrt.no2.terrain_height (m) Terrain height. Satellite.tempo.l3.nrt.no2.tropopause_pressure (hPa) Tropopause pressure. Satellite.tempo.l3.nrt.no2.vertical_column_stratosphere (molecules2/cm5) Stratosphere nitrogen dioxide vertical column. Satellite.tempo.l3.nrt.no2.vertical_column_sum (molecules/cm2) Nitrogen dioxide vertical column sum of vertical_column_troposphere and vertical_column_stratosphere. Satellite.tempo.l3.nrt.no2.vertical_column_total (molecules2/cm5) Total nitrogen dioxide vertical column. Satellite.tempo.l3.nrt.no2.vertical_column_total_uncertainty (molecules2/cm5) Total nitrogen dioxide vertical column uncertainty. Satellite.tempo.l3.nrt.no2.vertical_column_troposphere (molecules2/cm5) Troposphere nitrogen dioxide vertical column. Satellite.tempo.l3.nrt.no2.vertical_column_troposphere_uncertainty (molecules2/cm5) Troposphere nitrogen dioxide vertical column uncertainty. Satellite.tempo.l3.nrt.no2.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.nrt.no2.weight (km2) Sum of area weights. Satellite.tempo.l3.o3prof.eff_cloud_fraction (-) Effective cloud fraction. Satellite.tempo.l3.o3prof.eff_cloud_pressure (hPa) Effective cloud pressure. Satellite.tempo.l3.o3prof.ozone_apriori_profile (DU) A priori ozone at 24 layers from the surface up to 100km. Satellite.tempo.l3.o3prof.ozone_apriori_profile_error (DU) Error of a priori ozone at 24 layers from the surface up to 100km. Satellite.tempo.l3.o3prof.ozone_profile (DU) Ozone at 24 layers from the surface up to 100km. Satellite.tempo.l3.o3prof.ozone_profile_altitude (km) Altitude of each of the 24 layers from the surface up to 100km. Satellite.tempo.l3.o3prof.ozone_profile_error (DU) Error of ozone at 24 layers from the surface up to 100km. Satellite.tempo.l3.o3prof.ozone_profile_precision (DU) Precision of ozone at 24 layers from the surface up to 100km. Satellite.tempo.l3.o3prof.ozone_profile_pressure (hPa) Pressure at each of the 24 layers from the surface up to 100km. Satellite.tempo.l3.o3prof.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.o3prof.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.o3prof.stratosphere_ozone_column (DU) Integrated ozone in the stratosphere. Satellite.tempo.l3.o3prof.stratosphere_ozone_error (DU) Error of integrated ozone in the stratosphere. Satellite.tempo.l3.o3prof.stratosphere_ozone_precision (DU) Precision of integrated ozone in the stratosphere. Satellite.tempo.l3.o3prof.total_ozone_column (DU) Integrated total ozone from the surface up to 100km. Satellite.tempo.l3.o3prof.total_ozone_error (DU) Error of integrated total ozone from the surface up to 100km. Satellite.tempo.l3.o3prof.total_ozone_precision (DU) Precision of integrated total ozone from the surface up to 100km. Satellite.tempo.l3.o3prof.tropopause_index (-) Tropopause index. Satellite.tempo.l3.o3prof.troposphere_ozone_column (DU) Integrated ozone in the troposphere. Satellite.tempo.l3.o3prof.troposphere_ozone_error (DU) Error of integrated ozone in the troposphere. Satellite.tempo.l3.o3prof.troposphere_ozone_precision (DU) Precision of integrated ozone in the troposphere. Satellite.tempo.l3.o3prof.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.o3prof.weight (/km2) Sum of Level 2 pixel overlap areas. Satellite.tempo.l3.o3tot.cloud_pressures (hPa) Effective cloud pressure. Satellite.tempo.l3.o3tot.column_amount_o3 (DU) Best total ozone solution. Satellite.tempo.l3.o3tot.fc (-) Effective cloud fraction (mixed LER model). Satellite.tempo.l3.o3tot.max_column_samples (DU) Largest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.o3tot.min_column_samples (DU) Smallest Level 2 pixel value contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.o3tot.num_column_samples (-) Number of Level 2 pixel values contributing to the area-weighted Level 3 pixel value. Satellite.tempo.l3.o3tot.o3_below_cloud (DU) Ozone below fractional cloud. Satellite.tempo.l3.o3tot.radiative_cloud_frac (-) Cloud radiance fraction = fc*Ic331/Im331. Satellite.tempo.l3.o3tot.relative_azimuth_angle (deg) Relative azimuth angle at pixel center. Satellite.tempo.l3.o3tot.so2_index (-) SO2 index. Satellite.tempo.l3.o3tot.so2l_index (-) SO2 index. Satellite.tempo.l3.o3tot.solar_zenith_angle (deg) Solar zenith angle at pixel center. Satellite.tempo.l3.o3tot.terrain_height (m) Terrain height. Satellite.tempo.l3.o3tot.terrain_pressures (hPa) Terrain pressure. Satellite.tempo.l3.o3tot.uv_aerosol_index (-) UV aerosol index. Satellite.tempo.l3.o3tot.uv_aerosol_index (-) UV aerosol index. Satellite.tempo.l3.o3tot.viewing_zenith_angle (deg) Viewing zenith angle at pixel center. Satellite.tempo.l3.o3tot.weight (km2) Sum of Level 2 pixel overlap areas. Satellite.tempo2.l2.adp.cloud (-) cloud detection flag: 1 yes, 0 no. Satellite.tempo2.l2.adp.deepblue_aai (-) deep-blue (410/440 nm) absorbing aerosol index [-30, 30]. Satellite.tempo2.l2.adp.dsdi (-) dust/smoke discrimination index [-50, 50]. Satellite.tempo2.l2.adp.dust (-) dust detection flag: 1 yes, 0 no. Satellite.tempo2.l2.adp.nuc (-) none/unknown/clear-sky detection flag: 1 yes, 0 no". Satellite.tempo2.l2.adp.pqi1 (-) product quality information flag 1 (see doc table 5). Satellite.tempo2.l2.adp.pqi2 (-) product quality information flag 2 (see doc table 6). Satellite.tempo2.l2.adp.pqi3 (-) product quality information flag 3 (see doc table 7). Satellite.tempo2.l2.adp.pqi4 (-) product quality information flag 4 (see doc table 8). Satellite.tempo2.l2.adp.qc_flag (-) quality flag for smoke, dust, nuc, and cloud detections (see doc table 4). Satellite.tempo2.l2.adp.saai (-) scaled absorbing aerosol index [0, 30]. Satellite.tempo2.l2.adp.smoke (-) smoke detection flag: 1 yes, 0 no. Satellite.tempo2.l2.adp.snowice (-) snow/ice detection flag: 1 yes, 0 no. Satellite.tempo2.l2.adp.std_dev_2210nm (-) standard deviation of the reflectance at 2210 nm in a 3 by 3 box [0, 10]. Satellite.tempo2.l2.adp.std_dev_410nm (-) standard deviation of the reflectance at 410 nm in a 3 by 3 box [0, 10]. Satellite.tempo2.l2.adp.std_dev_865nm (-) standard deviation of the reflectance at 865 nm in a 3 by 3 box [0, 10]. Satellite.tempo2.l2.adp.uv_aai (-) uv (354/384 nm) absorbing aerosol index [-50, 50]. Satellite.tempo2.l2.aodalh.aermodel (-) Aerosol model number: 0 = smoke model 1, 1 = smoke model 2, 2 = dust, 3 = generic. Satellite.tempo2.l2.aodalh.alh (km) Aerosol layer height. Satellite.tempo2.l2.aodalh.aod550 (-) Aerosol Optical Depth at 550 nanometer wavelength. Satellite.tempo2.l2.aodalh.dqf (-) Data quality flag: 0 = high quality, 1 = medium quality, 2 = low quality, 3 = no retrieval. Satellite.tempo2.l2.aodalh.lwmask (-) Land-water mask: 0 = water, 1 = land, 2 = coastal or shallow water. Satellite.tempo2.l3.pm25.alh_ge (km) Hourly TEMPO ALH over CONUS on GOES-East grid (east of 106W). Satellite.tempo2.l3.pm25.alh_gw (km) Hourly TEMPO ALH over CONUS on GOES-West grid (west of 106W). Satellite.tempo2.l3.pm25.aod_ge (-) Hourly composite ABI AOD and TEMPO AOD over CONUS on GOES-East grid (east of 106W). Satellite.tempo2.l3.pm25.aod_gw (-) Hourly composite ABI AOD and TEMPO AOD over CONUS on GOES-West grid (west of 106W). Satellite.tempo2.l3.pm25.count_aod_ge (-) Number of AOD retrievals counts within an hour on GOES-East grid (east of 106W). Satellite.tempo2.l3.pm25.count_aod_gw (-) Number of AOD retrievals counts within an hour on GOES-West grid (west of 106W). Satellite.tempo2.l3.pm25.intercept_ge (ug/m3) Intercepts that convert AOD ALH to PM2.5 on GOES-East grid (east of 106W). Satellite.tempo2.l3.pm25.intercept_gw (ug/m3) Intercepts that convert AOD ALH to PM2.5 on GOES-West grid (for ALH, west of 106W). Satellite.tempo2.l3.pm25.pm25sat_ge (ug/m3) Hourly PM2.5 estimates from ABI AOD, TEMPO AOD ALH over CONUS on GOES-East grid (east of 106W). Satellite.tempo2.l3.pm25.pm25sat_gw (ug/m3) Hourly PM2.5 estimates from ABI AOD, TEMPO AOD ALH over CONUS on GOES-West grid (west of 106W). Satellite.tempo2.l3.pm25.slope_alh_ge (ug/m3/km) Slopes that convert AOD ALH to PM2.5 on GOES-East grid (for ALH, east of 106W). Satellite.tempo2.l3.pm25.slope_alh_gw (ug/m3/km) Slopes that convert AOD ALH to PM2.5 on GOES-West grid (for ALH, west of 106W). Satellite.tempo2.l3.pm25.slope_aod_ge (ug/m3) Slopes that convert AOD ALH to PM2.5 on GOES-East grid (for AOD, east of 106W). Satellite.tempo2.l3.pm25.slope_aod_gw (ug/m3) Slopes that convert AOD ALH to PM2.5 on GOES-East grid on GOES-West grid (for AOD, west of 106W). Satellite.tropomi.nrti.ch4.methane_mixing_ratio (-) Near-real-time column-averaged dry air mixing ratio of methane. Satellite.tropomi.nrti.ch4.methane_mixing_ratio_bias_corrected (-) Near-real-time bias corrected column-averaged dry air mixing ratio of methane. Satellite.tropomi.nrti.ch4.methane_mixing_ratio_precision (-) Near-real-time precision of the column-averaged dry air mixing ratio of methane. Satellite.tropomi.nrti.ch4.qa_value (-) Near-real-time A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.nrti.co.carbonmonoxide_total_column (molecules/cm2) Near-real-time total vertical column of carbon monoxide. Satellite.tropomi.nrti.co.carbonmonoxide_total_column_precision (molecules/cm2) Near-real-time precision of total vertical column of carbon monoxide. Satellite.tropomi.nrti.co.qa_value (-) Near-real-time A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.nrti.co.water_total_column (molecules/cm2) Near-real-time total vertical column of water vapor. Satellite.tropomi.nrti.co.water_total_column_precision (molecules/cm2) Near-real-time precision of total vertical column of water vapor. Satellite.tropomi.nrti.hcho.formaldehyde_tropospheric_vertical_column (molecules/cm2) Near-real-time tropospheric vertical column of formaldehyde. Satellite.tropomi.nrti.hcho.formaldehyde_tropospheric_vertical_column_precision (molecules/cm2) Near-real-time precision of tropospheric vertical column of formaldehyde. Satellite.tropomi.nrti.hcho.qa_value (-) Near-real-time A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.nrti.no2.air_mass_factor_total (-) Near-real-time total air mass factor. Satellite.tropomi.nrti.no2.air_mass_factor_troposphere (-) Near-real-time tropospheric air mass factor. Satellite.tropomi.nrti.no2.cloud_fraction_crb (-) Near-real-time Effective cloud fraction from the cloud product. Satellite.tropomi.nrti.no2.cloud_radiance_fraction_nitrogendioxide_window (-) Near-real-time Cloud fraction at 440 nm for NO2 retrieval. Satellite.tropomi.nrti.no2.nitrogendioxide_stratospheric_column (molecules/cm2) Near-real-time stratospheric vertical column of nitrogen dioxide. Satellite.tropomi.nrti.no2.nitrogendioxide_stratospheric_column_precision (molecules/cm2) Near-real-time precision of stratospheric vertical column of nitrogen dioxide when applying the averaging kernel. Satellite.tropomi.nrti.no2.nitrogendioxide_total_column (molecules/cm2) Near-real-time total vertical column of nitrogen dioxide. Satellite.tropomi.nrti.no2.nitrogendioxide_total_column_precision (molecules/cm2) Near-real-time precision of total vertical column of nitrogen dioxide. Satellite.tropomi.nrti.no2.nitrogendioxide_total_column_precision_kernel (molecules/cm2) Near-real-time precision of total vertical column of nitrogen dioxide when applying the averaging kernel. Satellite.tropomi.nrti.no2.nitrogendioxide_tropospheric_column (molecules/cm2) Near-real-time tropospheric vertical column of nitrogen dioxide. Satellite.tropomi.nrti.no2.nitrogendioxide_tropospheric_column_precision (molecules/cm2) Near-real-time precision of tropospheric vertical column of nitrogen dioxide. Satellite.tropomi.nrti.no2.nitrogendioxide_tropospheric_column_precision_kernel (molecules/cm2) Near-real-time precision of tropospheric vertical column of nitrogen dioxide when applying the averaging kernel. Satellite.tropomi.nrti.no2.qa_value (-) Near-real-time A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.nrti.no2.solar_azimuth_angle (deg) Near-real-time Solar azimuth angle at the ground pixel location on the reference ellipsoid. Angle is measured clockwise from the North (East = 90, South = +/-180, West = -90). Satellite.tropomi.nrti.no2.solar_zenith_angle (deg) Near-real-time Solar zenith angle at the ground pixel location on the reference ellipsoid. Angle is measured away from the vertical. Satellite.tropomi.nrti.no2.surface_albedo (-) Near-real-time Surface albedo in the cloud product. Satellite.tropomi.nrti.no2.surface_albedo_nitrogendioxide_window (-) Near-real-time Surface albedo in the NO2 fit window. Satellite.tropomi.nrti.no2.surface_classification (-) Near-real-time Flag indicating land/water and further surface classifications for the ground pixel. USGS (https://lta.cr.usgs.gov/GLCC) and NASA SDP toolkit (http://newsroom.gsfc.nasa.gov/sdptoolkit/toolkit.html) Satellite.tropomi.nrti.no2.surface_pressure (hPa) Near-real-time Air pressure at the surface. Satellite.tropomi.nrti.no2.viewing_azimuth_angle (deg) Near-real-time Solar azimuth angle at the ground pixel location on the reference ellipsoid. Angle is measured clockwise from the North (East = 90, South = +/-180, West = -90). Satellite.tropomi.nrti.no2.viewing_zenith_angle (deg) Near-real-time Solar zenith angle at the ground pixel location on the reference ellipsoid. Angle is measured away from the vertical. Satellite.tropomi.offl.ch4.methane_mixing_ratio (-) Offline column-averaged dry air mixing ratio of methane. Satellite.tropomi.offl.ch4.methane_mixing_ratio_bias_corrected (-) Offline bias corrected column-averaged dry air mixing ratio of methane. Satellite.tropomi.offl.ch4.methane_mixing_ratio_precision (-) Offline precision of the column-averaged dry air mixing ratio of methane. Satellite.tropomi.offl.ch4.qa_value (-) Offline A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.offl.co.carbonmonoxide_total_column (molecules/cm2) Offline total vertical column of carbon monoxide. Satellite.tropomi.offl.co.carbonmonoxide_total_column_precision (molecules/cm2) Offline precision of total vertical column of carbon monoxide. Satellite.tropomi.offl.co.qa_value (-) Offline A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.offl.co.water_total_column (molecules/cm2) Offline total vertical column of water vapor. Satellite.tropomi.offl.co.water_total_column_precision (molecules/cm2) Offline precision of total vertical column of water vapor. Satellite.tropomi.offl.hcho.formaldehyde_tropospheric_vertical_column (molecules/cm2) Offline tropospheric vertical column of formaldehyde. Satellite.tropomi.offl.hcho.formaldehyde_tropospheric_vertical_column_precision (molecules/cm2) Offline precision of tropospheric vertical column of formaldehyde. Satellite.tropomi.offl.hcho.qa_value (-) Offline A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.offl.no2.air_mass_factor_total (-) Offline total air mass factor. Satellite.tropomi.offl.no2.air_mass_factor_troposphere (-) Offline tropospheric air mass factor. Satellite.tropomi.offl.no2.cloud_fraction_crb (-) Offline Effective cloud fraction from the cloud product. Satellite.tropomi.offl.no2.cloud_radiance_fraction_nitrogendioxide_window (-) Offline Cloud fraction at 440 nm for NO2 retrieval. Satellite.tropomi.offl.no2.nitrogendioxide_stratospheric_column (molecules/cm2) Offline stratospheric vertical column of nitrogen dioxide. Satellite.tropomi.offl.no2.nitrogendioxide_stratospheric_column_precision (molecules/cm2) Offline precision of stratospheric vertical column of nitrogen dioxide. Satellite.tropomi.offl.no2.nitrogendioxide_total_column (molecules/cm2) Offline total vertical column of nitrogen dioxide. Satellite.tropomi.offl.no2.nitrogendioxide_total_column_precision (molecules/cm2) Offline precision of total vertical column of nitrogen dioxide. Satellite.tropomi.offl.no2.nitrogendioxide_total_column_precision_kernel (molecules/cm2) Offline precision of total vertical column of nitrogen dioxide when applying the averaging kernel. Satellite.tropomi.offl.no2.nitrogendioxide_tropospheric_column (molecules/cm2) Offline tropospheric vertical column of nitrogen dioxide. Satellite.tropomi.offl.no2.nitrogendioxide_tropospheric_column_precision (molecules/cm2) Offline precision of tropospheric vertical column of nitrogen dioxide. Satellite.tropomi.offl.no2.nitrogendioxide_tropospheric_column_precision_kernel (molecules/cm2) Offline precision of tropospheric vertical column of nitrogen dioxide when applying the averaging kernel. Satellite.tropomi.offl.no2.qa_value (-) Offline A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.offl.no2.solar_azimuth_angle (deg) Offline Solar azimuth angle at the ground pixel location on the reference ellipsoid. Angle is measured clockwise from the North (East = 90, South = +/-180, West = -90). Satellite.tropomi.offl.no2.solar_zenith_angle (deg) Offline Solar zenith angle at the ground pixel location on the reference ellipsoid. Angle is measured away from the vertical. Satellite.tropomi.offl.no2.surface_albedo (-) Offline Surface albedo in the cloud product. Satellite.tropomi.offl.no2.surface_albedo_nitrogendioxide_window (-) Offline Surface albedo in the NO2 fit window. Satellite.tropomi.offl.no2.surface_classification (-) Offline Flag indicating land/water and further surface classifications for the ground pixel. USGS (https://lta.cr.usgs.gov/GLCC) and NASA SDP toolkit (http://newsroom.gsfc.nasa.gov/sdptoolkit/toolkit.html) Satellite.tropomi.offl.no2.surface_pressure (hPa) Offline Air pressure at the surface. Satellite.tropomi.offl.no2.viewing_azimuth_angle (deg) Offline Solar azimuth angle at the ground pixel location on the reference ellipsoid. Angle is measured clockwise from the North (East = 90, South = +/-180, West = -90). Satellite.tropomi.offl.no2.viewing_zenith_angle (deg) Offline Solar zenith angle at the ground pixel location on the reference ellipsoid. Angle is measured away from the vertical. Satellite.tropomi.rpro.ch4.methane_mixing_ratio (-) Reprocessed column-averaged dry air mixing ratio of methane. Satellite.tropomi.rpro.ch4.methane_mixing_ratio_bias_corrected (-) Reprocessed bias corrected column-averaged dry air mixing ratio of methane. Satellite.tropomi.rpro.ch4.methane_mixing_ratio_precision (-) Reprocessed precision of the column-averaged dry air mixing ratio of methane. Satellite.tropomi.rpro.ch4.qa_value (-) Reprocessed A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.rpro.co.carbonmonoxide_total_column (molecules/cm2) Reprocessed total vertical column of carbon monoxide. Satellite.tropomi.rpro.co.carbonmonoxide_total_column_precision (molecules/cm2) Reprocessed precision of total vertical column of carbon monoxide. Satellite.tropomi.rpro.co.qa_value (-) Reprocessed A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.rpro.hcho.formaldehyde_tropospheric_vertical_column (molecules/cm2) Reprocessed tropospheric vertical column of formaldehyde. Satellite.tropomi.rpro.hcho.formaldehyde_tropospheric_vertical_column_precision (molecules/cm2) Reprocessed precision of tropospheric vertical column of formaldehyde. Satellite.tropomi.rpro.hcho.qa_value (-) Reprocessed A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.rpro.no2.air_mass_factor_clear (-) Reprocessed Air mass factor for the cloud-free part of the scene. Satellite.tropomi.rpro.no2.air_mass_factor_cloudy (-) Reprocessed Air mass factor for the cloud-covered part of the scene. Satellite.tropomi.rpro.no2.air_mass_factor_total (-) Reprocessed total air mass factor. Satellite.tropomi.rpro.no2.air_mass_factor_troposphere (-) Reprocessed tropospheric air mass factor. Satellite.tropomi.rpro.no2.cloud_fraction_crb (-) Reprocessed Effective cloud fraction from the cloud product. Satellite.tropomi.rpro.no2.cloud_radiance_fraction_nitrogendioxide_window (-) Reprocessed Cloud fraction at 440 nm for NO2 retrieval. Satellite.tropomi.rpro.no2.eastward_wind (m/s) Reprocessed Eastward component of wind. Satellite.tropomi.rpro.no2.fresco_cloud_pressure_crb (hPa) Reprocessed Air presswure at cloud optical centroid. Satellite.tropomi.rpro.no2.nitrogendioxide_stratospheric_column (molecules/cm2) Reprocessed stratospheric vertical column of nitrogen dioxide. Satellite.tropomi.rpro.no2.nitrogendioxide_stratospheric_column_precision (molecules/cm2) Reprocessed precision of stratospheric vertical column of nitrogen dioxide. Satellite.tropomi.rpro.no2.nitrogendioxide_total_column (molecules/cm2) Reprocessed total vertical column of nitrogen dioxide. Satellite.tropomi.rpro.no2.nitrogendioxide_total_column_precision (molecules/cm2) Reprocessed precision of total vertical column of nitrogen dioxide. Satellite.tropomi.rpro.no2.nitrogendioxide_total_column_precision_kernel (molecules/cm2) Reprocessed precision of total vertical column of nitrogen dioxide when applying the averaging kernel. Satellite.tropomi.rpro.no2.nitrogendioxide_tropospheric_column (molecules/cm2) Reprocessed tropospheric vertical column of nitrogen dioxide. Satellite.tropomi.rpro.no2.nitrogendioxide_tropospheric_column_precision (molecules/cm2) Reprocessed precision of tropospheric vertical column of nitrogen dioxide. Satellite.tropomi.rpro.no2.nitrogendioxide_tropospheric_column_precision_kernel (molecules/cm2) Reprocessed precision of tropospheric vertical column of nitrogen dioxide when applying the averaging kernel. Satellite.tropomi.rpro.no2.northward_wind (m/s) Reprocessed Northward component of wind. Satellite.tropomi.rpro.no2.o22cld_cloud_height_crb (m) Reprocessed Height of cloud optical centroid. Satellite.tropomi.rpro.no2.qa_value (-) Reprocessed A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value < 0.5. Satellite.tropomi.rpro.no2.solar_azimuth_angle (deg) Reprocessed Solar azimuth angle at the ground pixel location on the reference ellipsoid. Angle is measured clockwise from the North (East = 90, South = +/-180, West = -90). Satellite.tropomi.rpro.no2.solar_zenith_angle (deg) Reprocessed Solar zenith angle at the ground pixel location on the reference ellipsoid. Angle is measured away from the vertical. Satellite.tropomi.rpro.no2.surface_albedo (-) Reprocessed Surface albedo in the cloud product. Satellite.tropomi.rpro.no2.surface_albedo_nitrogendioxide_window (-) Reprocessed Surface albedo in the NO2 fit window. Satellite.tropomi.rpro.no2.surface_classification (-) Reprocessed Flag indicating land/water and further surface classifications for the ground pixel. USGS (https://lta.cr.usgs.gov/GLCC) and NASA SDP toolkit (http://newsroom.gsfc.nasa.gov/sdptoolkit/toolkit.html) Satellite.tropomi.rpro.no2.surface_pressure (hPa) Reprocessed Air pressure at the surface. Satellite.tropomi.rpro.no2.viewing_azimuth_angle (deg) Reprocessed Solar azimuth angle at the ground pixel location on the reference ellipsoid. Angle is measured clockwise from the North (East = 90, South = +/-180, West = -90). Satellite.tropomi.rpro.no2.viewing_zenith_angle (deg) Reprocessed Solar zenith angle at the ground pixel location on the reference ellipsoid. Angle is measured away from the vertical. Satellite.viirs.jrraod.AOD550 (-) Aerosol optical depth at 550 nm. Satellite.viirs.jrraod.AngsExp1 (-) Angstrom exponent for M4 vs M7 over ocean. Satellite.viirs.jrraod.AngsExp2 (-) Angstrom exponent for M7 vs M10 over ocean. Model.cmaq.cdc.conus.aconc.o3 (ppmV) 1 level(s) of CMAQ modeled Ozone. Model.cmaq.cdc.conus.pm25.pm25 (ug/m3) 1 level(s) of CMAQ modeled Particulate matter (aerosols) not more than 2.5 microns in diameter. Model.cmaq.cdc.east.aconc.o3 (ppmV) 1 level(s) of CMAQ modeled Ozone. Model.cmaq.cdc.east.pm25.pm25 (ug/m3) 1 level(s) of CMAQ modeled Particulate matter (aerosols) not more than 2.5 microns in diameter. Model.cmaq.discover.conus.aconc.aacd (ppmV) 1 level(s) of CMAQ modeled Acetic And Higher Carboxylic Acids Model.cmaq.discover.conus.aconc.aalj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.conus.aconc.aalkj (ug/m3) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.conus.aconc.abnz1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.conus.aconc.abnz2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.conus.aconc.abnz3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.conus.aconc.acaj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.conus.aconc.acli (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.conus.aconc.aclj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.conus.aconc.aclk (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.conus.aconc.acors (ug/m3) 1 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.conus.aconc.aeci (ug/m3) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.conus.aconc.aecj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.conus.aconc.afej (ug/m3) 1 level(s) of CMAQ modeled Aerosol Iron Elemental Accumulation Mode Model.cmaq.discover.conus.aconc.ah2oi (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Aitken Mode Model.cmaq.discover.conus.aconc.ah2oj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Accumulation Mode Model.cmaq.discover.conus.aconc.ah2ok (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Coarse Mode Model.cmaq.discover.conus.aconc.aiso1j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.conus.aconc.aiso2j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.conus.aconc.aiso3j (ug/m3) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.conus.aconc.akj (ug/m3) 1 level(s) of CMAQ modeled Counter species for computing SOA from ISOP Model.cmaq.discover.conus.aconc.ald2 (ppmV) 1 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.conus.aconc.aldx (ppmV) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.conus.aconc.amgj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Magnesium Aitken Mode Model.cmaq.discover.conus.aconc.amnj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.conus.aconc.anai (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sodium Aitken Mode Model.cmaq.discover.conus.aconc.anaj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.conus.aconc.anh4i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.conus.aconc.anh4j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.conus.aconc.anh4k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.conus.aconc.ano3i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.conus.aconc.ano3j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.conus.aconc.ano3k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.conus.aconc.aolgaj (ug/m3) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.conus.aconc.aolgbj (ug/m3) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.conus.aconc.aorgcj (ug/m3) 1 level(s) of CMAQ modeled SOA from in-cloud oxidation of dialdehydes Model.cmaq.discover.conus.aconc.aothri (ug/m3) 1 level(s) of CMAQ modeled Aerosol Other Aitken Mode Model.cmaq.discover.conus.aconc.aothrj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Other Accumulation Mode Model.cmaq.discover.conus.aconc.apncomi (ug/m3) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Aitken Mode Model.cmaq.discover.conus.aconc.apncomj (ug/m3) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Accumulation Mode Model.cmaq.discover.conus.aconc.apoci (ug/m3) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.conus.aconc.apocj (ug/m3) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.conus.aconc.aseacat (ug/m3) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.conus.aconc.asij (ug/m3) 1 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.conus.aconc.aso4i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.conus.aconc.aso4j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.conus.aconc.aso4k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.conus.aconc.asoil (ug/m3) 1 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.conus.aconc.asqtj (ug/m3) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.conus.aconc.atij (ug/m3) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.conus.aconc.atol1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.aconc.atol2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.aconc.atol3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.conus.aconc.atrp1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.conus.aconc.atrp2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.conus.aconc.axyl1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.aconc.axyl2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.aconc.axyl3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.conus.aconc.benzene (ppmV) 1 level(s) of CMAQ modeled Benzene Model.cmaq.discover.conus.aconc.benzro2 (ppmV) 1 level(s) of CMAQ modeled First generation SOA intermediate from benzene oxidation Model.cmaq.discover.conus.aconc.bnzhrxn (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from BENZENE under low NOx conditions Model.cmaq.discover.conus.aconc.bnznrxn (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from BENZENE under high NOx conditions Model.cmaq.discover.conus.aconc.c2o3 (ppmV) 1 level(s) of CMAQ modeled Peroxy Radical from Methyl-catechol Model.cmaq.discover.conus.aconc.cao2 (ppmV) 1 level(s) of CMAQ modeled Acetyl Peroxy Radical Model.cmaq.discover.conus.aconc.cat1 (ppmV) 1 level(s) of CMAQ modeled Methyl-catechol Model.cmaq.discover.conus.aconc.cl (ppmV) 1 level(s) of CMAQ modeled Chlorides Model.cmaq.discover.conus.aconc.cl2 (ppmV) 1 level(s) of CMAQ modeled Elemental Chlorine Model.cmaq.discover.conus.aconc.clo (ppmV) 1 level(s) of CMAQ modeled Hypoclorite Model.cmaq.discover.conus.aconc.co (ppmV) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.conus.aconc.cres (ppmV) 1 level(s) of CMAQ modeled Cresol And Higher Molecular Weight Phenois Model.cmaq.discover.conus.aconc.crn2 (ppmV) 1 level(s) of CMAQ modeled Chromium nitrate Model.cmaq.discover.conus.aconc.crno (ppmV) 1 level(s) of CMAQ modeled Alkoxy Radical Model.cmaq.discover.conus.aconc.cro (ppmV) 1 level(s) of CMAQ modeled Methylphenoxy Radical Model.cmaq.discover.conus.aconc.cron (ppmV) 1 level(s) of CMAQ modeled nitrocresol Model.cmaq.discover.conus.aconc.crpx (ppmV) 1 level(s) of CMAQ modeled C3+ Peroxyacetyl Radicals Model.cmaq.discover.conus.aconc.cxo3 (ppmV) 1 level(s) of CMAQ modeled Nitro-cresol from hydroperoxide Model.cmaq.discover.conus.aconc.eth (ppmV) 1 level(s) of CMAQ modeled Higher acylperoxy radical Model.cmaq.discover.conus.aconc.etha (ppmV) 1 level(s) of CMAQ modeled Ethene Model.cmaq.discover.conus.aconc.etoh (ppmV) 1 level(s) of CMAQ modeled Ethane Model.cmaq.discover.conus.aconc.facd (ppmV) 1 level(s) of CMAQ modeled Ethanol Model.cmaq.discover.conus.aconc.fmcl (ppmV) 1 level(s) of CMAQ modeled Formic Acid Model.cmaq.discover.conus.aconc.form (ppmV) 1 level(s) of CMAQ modeled Formyl Chloride Model.cmaq.discover.conus.aconc.h2o2 (ppmV) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.conus.aconc.hcl (ppmV) 1 level(s) of CMAQ modeled Peroxide Model.cmaq.discover.conus.aconc.hco3 (ppmV) 1 level(s) of CMAQ modeled Hydrocloric Acid Model.cmaq.discover.conus.aconc.hno3 (ppmV) 1 level(s) of CMAQ modeled Radical formed when formaldehyde reacts with HO2 Model.cmaq.discover.conus.aconc.ho2 (ppmV) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.discover.conus.aconc.hocl (ppmV) 1 level(s) of CMAQ modeled Hydroperoxy Radical Model.cmaq.discover.conus.aconc.hono (ppmV) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.conus.aconc.iole (ppmV) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.discover.conus.aconc.isop (ppmV) 1 level(s) of CMAQ modeled Internal Olefins Model.cmaq.discover.conus.aconc.isoprxn (ppmV) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.conus.aconc.ispd (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from ISOP Model.cmaq.discover.conus.aconc.meo2 (ppmV) 1 level(s) of CMAQ modeled Isoprene Product Model.cmaq.discover.conus.aconc.meoh (ppmV) 1 level(s) of CMAQ modeled Methyl Peroxy Radical Model.cmaq.discover.conus.aconc.mepx (ppmV) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.conus.aconc.mgly (ppmV) 1 level(s) of CMAQ modeled Methyl Hydroperoxide Model.cmaq.discover.conus.aconc.n2o5 (ppmV) 1 level(s) of CMAQ modeled Methylglyoxal And Other Aeromatic Products Model.cmaq.discover.conus.aconc.nh3 (ppmV) 1 level(s) of CMAQ modeled Dinitrate Pentoxide Model.cmaq.discover.conus.aconc.no (ppmV) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.conus.aconc.no2 (ppmV) 1 level(s) of CMAQ modeled Nitrogen Oxide Model.cmaq.discover.conus.aconc.no3 (ppmV) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.discover.conus.aconc.ntr (ppmV) 1 level(s) of CMAQ modeled Nitrogen Trioxide Model.cmaq.discover.conus.aconc.numacc (number/m3) 1 level(s) of CMAQ modeled Nitrate Model.cmaq.discover.conus.aconc.numatkn (number/m3) 1 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.conus.aconc.numcor (number/m3) 1 level(s) of CMAQ modeled Aitken Mode Number Model.cmaq.discover.conus.aconc.o (ppmV) 1 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.conus.aconc.o1d (ppmV) 1 level(s) of CMAQ modeled Oxygen Atom In The O3(P) Electronic State Model.cmaq.discover.conus.aconc.o3 (ppmV) 1 level(s) of CMAQ modeled Oxygen Atom In The O1(D) Electronic State Model.cmaq.discover.conus.aconc.oh (ppmV) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.conus.aconc.ole (ppmV) 1 level(s) of CMAQ modeled Hydroxyl Radical Model.cmaq.discover.conus.aconc.opan (ppmV) 1 level(s) of CMAQ modeled Terminal Olefin Carbon Bond Model.cmaq.discover.conus.aconc.open (ppmV) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.conus.aconc.opo3 (ppmV) 1 level(s) of CMAQ modeled Aromatic Ring Opening Product Model.cmaq.discover.conus.aconc.pacd (ppmV) 1 level(s) of CMAQ modeled Peroxy radical from Aromatic ring opening product Model.cmaq.discover.conus.aconc.pan (ppmV) 1 level(s) of CMAQ modeled Peroxyacetic And Higher Peroxycarboxylic Acids Model.cmaq.discover.conus.aconc.panx (ppmV) 1 level(s) of CMAQ modeled Peroxy Acetyl Nitrate Model.cmaq.discover.conus.aconc.par (ppmV) 1 level(s) of CMAQ modeled C3+ PANs Model.cmaq.discover.conus.aconc.pna (ppmV) 1 level(s) of CMAQ modeled Paraffin Carbon Bond Model.cmaq.discover.conus.aconc.rooh (ppmV) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.conus.aconc.ror (ppmV) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.conus.aconc.sesq (ppmV) 1 level(s) of CMAQ modeled Secondary Alkoxy Radical Model.cmaq.discover.conus.aconc.sesqrxn (ppmV) 1 level(s) of CMAQ modeled Sesquiterpene Model.cmaq.discover.conus.aconc.so2 (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from SESQ Model.cmaq.discover.conus.aconc.srfacc (m2/m3) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.conus.aconc.srfatkn (m2/m3) 1 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.conus.aconc.srfcor (m2/m3) 1 level(s) of CMAQ modeled Aitken Mode Surface Area Model.cmaq.discover.conus.aconc.sulf (ppmV) 1 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.conus.aconc.sulrxn (ppmV) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.conus.aconc.sv_alk (ppmV) 1 level(s) of CMAQ modeled Counter species for computing aerosols from SULF Model.cmaq.discover.conus.aconc.sv_bnz1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile alkanes Model.cmaq.discover.conus.aconc.sv_bnz2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from benzene1 Model.cmaq.discover.conus.aconc.sv_iso1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from benzene2 Model.cmaq.discover.conus.aconc.sv_iso2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from isoprene1 Model.cmaq.discover.conus.aconc.sv_sqt (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from isoprene2 Model.cmaq.discover.conus.aconc.sv_tol1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from sesquiterpene Model.cmaq.discover.conus.aconc.sv_tol2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Toluene1 Model.cmaq.discover.conus.aconc.sv_trp1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Toluene2 Model.cmaq.discover.conus.aconc.sv_trp2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Terpene1 Model.cmaq.discover.conus.aconc.sv_xyl1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Terpene2 Model.cmaq.discover.conus.aconc.sv_xyl2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Xylene1 Model.cmaq.discover.conus.aconc.terp (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Xylene2 Model.cmaq.discover.conus.aconc.to2 (ppmV) 1 level(s) of CMAQ modeled Terpene Model.cmaq.discover.conus.aconc.tol (ppmV) 1 level(s) of CMAQ modeled Toluene-Hydroxyl Radical Adduct Model.cmaq.discover.conus.aconc.tolhrxn (ppmV) 1 level(s) of CMAQ modeled Toluene And Other Monoalkyl Aromatics Model.cmaq.discover.conus.aconc.tolnrxn (ppmV) 1 level(s) of CMAQ modeled tolhrxn? Model.cmaq.discover.conus.aconc.tolro2 (ppmV) 1 level(s) of CMAQ modeled tolnrxn? Model.cmaq.discover.conus.aconc.trprxn (ppmV) 1 level(s) of CMAQ modeled tolro2? Model.cmaq.discover.conus.aconc.xo2 (ppmV) 1 level(s) of CMAQ modeled trprxn? Model.cmaq.discover.conus.aconc.xo2n (ppmV) 1 level(s) of CMAQ modeled Peroxy Radical Operator Model.cmaq.discover.conus.aconc.xyl (ppmV) 1 level(s) of CMAQ modeled NO To Organic Nitrate Conversion From Alkylperoxy Radical Model.cmaq.discover.conus.aconc.xylhrxn (ppmV) 1 level(s) of CMAQ modeled Xylene And Other Polyalkyl Aromatics Model.cmaq.discover.conus.aconc.xylnrxn (ppmV) 1 level(s) of CMAQ modeled xylhrxn? Model.cmaq.discover.conus.aconc.xylro2 (ppmV) 1 level(s) of CMAQ modeled xylnrxn? Model.cmaq.discover.conus.aerodiam.dgacc_dry (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Accumulation Mode Without Water Model.cmaq.discover.conus.aerodiam.dgacc_wet (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Accumulation Mode With Water Model.cmaq.discover.conus.aerodiam.dgatkn_dry (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Aitken Mode Without Water Model.cmaq.discover.conus.aerodiam.dgatkn_wet (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Aitken Mode With Water Model.cmaq.discover.conus.aerodiam.dgcor_dry (ug/m3) 35 level(s) of CMAQ modeled Coarse mode mean diameter without water Model.cmaq.discover.conus.aerodiam.dgcor_wet (ug/m3) 35 level(s) of CMAQ modeled Coarse mode mean diameter with water Model.cmaq.discover.conus.aerodiam.gamma_n2o5 (-) 35 level(s) of CMAQ modeled N2O5 Heterogeneous reaction probability Model.cmaq.discover.conus.aerodiam.m2acc_wet (m2/m3) 35 level(s) of CMAQ modeled Accumulation mode 2nd moment (wet) Model.cmaq.discover.conus.aerodiam.m2atkn_wet (m2/m3) 35 level(s) of CMAQ modeled Aitken mode 2nd moment (wet) Model.cmaq.discover.conus.aerodiam.m2cor_wet (m3/m3) 35 level(s) of CMAQ modeled Coarse mode 2nd moment (wet) Model.cmaq.discover.conus.aerodiam.m3acc_dry (m3/m3) 35 level(s) of CMAQ modeled Accumulation mode 3rd moment (dry) Model.cmaq.discover.conus.aerodiam.m3acc_wet (m3/m3) 35 level(s) of CMAQ modeled Accumulation mode 3rd moment (wet) Model.cmaq.discover.conus.aerodiam.m3atkn_dry (m3/m3) 35 level(s) of CMAQ modeled Aitken mode 3rd moment (dry) Model.cmaq.discover.conus.aerodiam.m3atkn_wet (m3/m3) 35 level(s) of CMAQ modeled Aitken mode 3rd moment (wet) Model.cmaq.discover.conus.aerodiam.m3cor_dry (m3/m3) 35 level(s) of CMAQ modeled Coarse mode 3rd moment (dry) Model.cmaq.discover.conus.aerodiam.m3cor_wet (-) 35 level(s) of CMAQ modeled Coarse mode 3rd moment (wet) Model.cmaq.discover.conus.aerodiam.pm25ac (-) 35 level(s) of CMAQ modeled Fine fraction of accumulation mode Model.cmaq.discover.conus.aerodiam.pm25at (-) 35 level(s) of CMAQ modeled Fine fraction of Aitken mode Model.cmaq.discover.conus.aerodiam.pm25co (-) 35 level(s) of CMAQ modeled Fine fraction of coarse mode Model.cmaq.discover.conus.aerodiam.rh (-) 35 level(s) of CMAQ modeled Relative humiditity Model.cmaq.discover.conus.aerodiam.stdevacc (-) 35 level(s) of CMAQ modeled Accumulation mode standard deviation (dry and wet) Model.cmaq.discover.conus.aerodiam.stdevatkn (-) 35 level(s) of CMAQ modeled Aitken mode standard deviation (dry and wet) Model.cmaq.discover.conus.aerodiam.stdevcor (-) 35 level(s) of CMAQ modeled Coarse mode standard deviation (dry and wet) Model.cmaq.discover.conus.aerovis.dcv_mie (deciview) 1 level(s) of CMAQ modeled hourly visual range Model.cmaq.discover.conus.aerovis.dcv_recon (deciview) 1 level(s) of CMAQ modeled hourly visual range Model.cmaq.discover.conus.aerovis.ext_mie (1/km) 1 level(s) of CMAQ modeled hourly extinction coefficient Model.cmaq.discover.conus.aerovis.ext_recon (1/km) 1 level(s) of CMAQ modeled hourly extinction coefficient Model.cmaq.discover.conus.conc.aalj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.conus.conc.aalkj (ug/m3) 35 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.conus.conc.abnz1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.conus.conc.abnz2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.conus.conc.abnz3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.conus.conc.acaj (ug/m3) 35 level(s) of CMAQ modeled Aerosol CA? Accumulation Mode Model.cmaq.discover.conus.conc.acli (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.conus.conc.aclj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.conus.conc.aclk (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.conus.conc.acors (ug/m3) 35 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.conus.conc.aeci (ug/m3) 35 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.conus.conc.aecj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.conus.conc.afej (ug/m3) 35 level(s) of CMAQ modeled Aerosol ? Elemental Accumulation Mode Model.cmaq.discover.conus.conc.ah2oi (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Aitken Mode Model.cmaq.discover.conus.conc.ah2oj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Accumulation Mode Model.cmaq.discover.conus.conc.ah2ok (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Coarse Mode Model.cmaq.discover.conus.conc.aiso1j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.conus.conc.aiso2j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.conus.conc.aiso3j (ug/m3) 35 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.conus.conc.akj (ug/m3) 35 level(s) of CMAQ modeled Aerosol ? Accumulation Mode Model.cmaq.discover.conus.conc.ald2 (ppmv) 35 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.conus.conc.aldx (ppmv) 35 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.conus.conc.amgj (ug/m3) 35 level(s) of CMAQ modeled Aerosol MG? Aitken Mode Model.cmaq.discover.conus.conc.amnj (ug/m3) 35 level(s) of CMAQ modeled Aerosol MN? Accumulation Mode Model.cmaq.discover.conus.conc.anai (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sodium Aitken Mode Model.cmaq.discover.conus.conc.anaj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.conus.conc.anh4i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.conus.conc.anh4j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.conus.conc.anh4k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.conus.conc.ano3i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.conus.conc.ano3j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.conus.conc.ano3k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.conus.conc.aolgaj (ug/m3) 35 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.conus.conc.aolgbj (ug/m3) 35 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.conus.conc.aorgcj (ug/m3) 35 level(s) of CMAQ modeled SOA from in-cloud oxidation of dialdehydes Model.cmaq.discover.conus.conc.aothri (ug/m3) 35 level(s) of CMAQ modeled Aerosol Other Aitken Mode Model.cmaq.discover.conus.conc.aothrj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Other Accumulation Mode Model.cmaq.discover.conus.conc.apncomi (ug/m3) 35 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.conus.conc.apncomj (ug/m3) 35 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.conus.conc.apoci (ug/m3) 35 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.conus.conc.apocj (ug/m3) 35 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.conus.conc.aseacat (ug/m3) 35 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.conus.conc.asij (ug/m3) 35 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.conus.conc.aso4i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.conus.conc.aso4j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.conus.conc.aso4k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.conus.conc.asoil (ug/m3) 35 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.conus.conc.asqtj (ug/m3) 35 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.conus.conc.atij (ug/m3) 35 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.conus.conc.atol1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.conc.atol2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.conc.atol3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.conus.conc.atrp1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.conus.conc.atrp2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.conus.conc.axyl1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.conc.axyl2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.conc.axyl3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.conus.conc.benzene (ppmv) 35 level(s) of CMAQ modeled benzene Model.cmaq.discover.conus.conc.c2o3 (ppmv) 35 level(s) of CMAQ modeled Peroxy Radical from Methyl-catechol Model.cmaq.discover.conus.conc.cao2 (ppmv) 35 level(s) of CMAQ modeled Acetyl Peroxy Radical Model.cmaq.discover.conus.conc.co (ppmv) 35 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.conus.conc.crn2 (ppmv) 35 level(s) of CMAQ modeled Chromium nitrate Model.cmaq.discover.conus.conc.crno (ppmv) 35 level(s) of CMAQ modeled Alkoxy Radical Model.cmaq.discover.conus.conc.cro (ppmv) 35 level(s) of CMAQ modeled Methylphenoxy Radical Model.cmaq.discover.conus.conc.cron (ppmv) 35 level(s) of CMAQ modeled nitrocresol Model.cmaq.discover.conus.conc.crpx (ppmv) 35 level(s) of CMAQ modeled C3+ Peroxyacetyl Radicals Model.cmaq.discover.conus.conc.cxo3 (ppmv) 35 level(s) of CMAQ modeled CRPX? Model.cmaq.discover.conus.conc.eth (ppmv) 35 level(s) of CMAQ modeled Higher acylperoxy radical Model.cmaq.discover.conus.conc.etha (ppmv) 35 level(s) of CMAQ modeled Ethene Model.cmaq.discover.conus.conc.etoh (ppmv) 35 level(s) of CMAQ modeled Ethane Model.cmaq.discover.conus.conc.form (ppmv) 35 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.conus.conc.h2o2 (ppmv) 35 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.conus.conc.hco3 (ppmv) 35 level(s) of CMAQ modeled hco3 Model.cmaq.discover.conus.conc.hno3 (ppmv) 35 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.conus.conc.ho2 (ppmv) 35 level(s) of CMAQ modeled Hydroperoxy radical Model.cmaq.discover.conus.conc.hono (ppmv) 35 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.conus.conc.iole (ppmv) 35 level(s) of CMAQ modeled Internal olefin carbon bond Model.cmaq.discover.conus.conc.isop (ppmv) 35 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.conus.conc.meo2 (ppmv) 35 level(s) of CMAQ modeled Methylperoxy radical Model.cmaq.discover.conus.conc.n2o5 (ppmv) 35 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.conus.conc.nh3 (ppmv) 35 level(s) of CMAQ modeled ammonia Model.cmaq.discover.conus.conc.no (ppmv) 35 level(s) of CMAQ modeled nitric oxide Model.cmaq.discover.conus.conc.no2 (ppmv) 35 level(s) of CMAQ modeled nitrogen dioxide Model.cmaq.discover.conus.conc.no3 (ppmv) 35 level(s) of CMAQ modeled nitrate Model.cmaq.discover.conus.conc.ntr (ppmv) 35 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.conus.conc.numacc (number/m3) 35 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.conus.conc.numatkn (number/m3) 35 level(s) of CMAQ modeled Aitken Mode Number Model.cmaq.discover.conus.conc.numcor (number/m3) 35 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.conus.conc.o3 (ppmv) 35 level(s) of CMAQ modeled Ozone Model.cmaq.discover.conus.conc.oh (ppmv) 35 level(s) of CMAQ modeled Hydroxyl radical Model.cmaq.discover.conus.conc.ole (ppmv) 35 level(s) of CMAQ modeled Terminal olefin carbon bond Model.cmaq.discover.conus.conc.opan (ppmv) 35 level(s) of CMAQ modeled opan Model.cmaq.discover.conus.conc.opo3 (ppmv) 35 level(s) of CMAQ modeled Peroxyacyl radical from oxidation of OPEN Model.cmaq.discover.conus.conc.pan (ppmv) 35 level(s) of CMAQ modeled Peroxyacyl nitrate Model.cmaq.discover.conus.conc.panx (ppmv) 35 level(s) of CMAQ modeled C3 and higher peroxyacyl nitrates Model.cmaq.discover.conus.conc.par (ppmv) 35 level(s) of CMAQ modeled Paraffin carbon bond Model.cmaq.discover.conus.conc.pna (ppmv) 35 level(s) of CMAQ modeled Peroxynitric acid Model.cmaq.discover.conus.conc.rooh (ppmv) 35 level(s) of CMAQ modeled Higher organic peroxide Model.cmaq.discover.conus.conc.ror (ppmv) 35 level(s) of CMAQ modeled Secondary alkoxy radical Model.cmaq.discover.conus.conc.sesq (ppmv) 35 level(s) of CMAQ modeled Sesquiterpene Model.cmaq.discover.conus.conc.so2 (ppmv) 35 level(s) of CMAQ modeled Sulfur dioxide Model.cmaq.discover.conus.conc.srfacc (m2/m3) 35 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.conus.conc.srfatkn (m2/m3) 35 level(s) of CMAQ modeled Aitken Mode Surface Area Model.cmaq.discover.conus.conc.srfcor (m2/m3) 35 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.conus.conc.sulf (ppmv) 35 level(s) of CMAQ modeled Sulfuric acid gas Model.cmaq.discover.conus.conc.terp (ppmv) 35 level(s) of CMAQ modeled Terpene Model.cmaq.discover.conus.conc.to2 (ppmv) 35 level(s) of CMAQ modeled Tolene-hydroxyl radical adduct Model.cmaq.discover.conus.conc.tol (ppmv) 35 level(s) of CMAQ modeled Toluene and other monoalkyl aromatics Model.cmaq.discover.conus.conc.w_vel (m/s) 35 level(s) of CMAQ modeled Vertical component of wind velocity Model.cmaq.discover.conus.conc.xo2 (ppmv) 35 level(s) of CMAQ modeled NO-to-NO2 conversion from alkylperoxy radical Model.cmaq.discover.conus.conc.xo2n (ppmv) 35 level(s) of CMAQ modeled NO-to-nitrate conversion from alkylperoxy radical Model.cmaq.discover.conus.conc.xyl (ppmv) 35 level(s) of CMAQ modeled Xylene and other polyalkyl aromatics Model.cmaq.discover.conus.depv.vd_ald (cm/sec) 1 level(s) of CMAQ modeled ald? Model.cmaq.discover.conus.depv.vd_cl2 (cm/sec) 1 level(s) of CMAQ modeled cl2? Model.cmaq.discover.conus.depv.vd_co (cm/sec) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.conus.depv.vd_fmcl (cm/sec) 1 level(s) of CMAQ modeled fmcl? Model.cmaq.discover.conus.depv.vd_gen_ald (cm/sec) 1 level(s) of CMAQ modeled gen_ald? Model.cmaq.discover.conus.depv.vd_h2o2 (cm/sec) 1 level(s) of CMAQ modeled Peroxide Model.cmaq.discover.conus.depv.vd_hcho (cm/sec) 1 level(s) of CMAQ modeled hcho? Model.cmaq.discover.conus.depv.vd_hcl (cm/sec) 1 level(s) of CMAQ modeled Hydrochloric Acid Model.cmaq.discover.conus.depv.vd_hno3 (cm/sec) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.discover.conus.depv.vd_hocl (cm/sec) 1 level(s) of CMAQ modeled hocl? Model.cmaq.discover.conus.depv.vd_hono (cm/sec) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.discover.conus.depv.vd_methanol (cm/sec) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.conus.depv.vd_n2o5 (cm/sec) 1 level(s) of CMAQ modeled Dinitrate Pentoxide Model.cmaq.discover.conus.depv.vd_nh3 (cm/sec) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.conus.depv.vd_no (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Oxide Model.cmaq.discover.conus.depv.vd_no2 (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.discover.conus.depv.vd_no3 (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Trioxide Model.cmaq.discover.conus.depv.vd_o3 (cm/sec) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.conus.depv.vd_op (cm/sec) 1 level(s) of CMAQ modeled op? Model.cmaq.discover.conus.depv.vd_ora (cm/sec) 1 level(s) of CMAQ modeled ora? Model.cmaq.discover.conus.depv.vd_paa (cm/sec) 1 level(s) of CMAQ modeled paa? Model.cmaq.discover.conus.depv.vd_pan (cm/sec) 1 level(s) of CMAQ modeled Peroxy Acetyl Nitrate Model.cmaq.discover.conus.depv.vd_so2 (cm/sec) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.conus.depv.vd_sulf (cm/sec) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.conus.depv.vmassc (cm/sec) 1 level(s) of CMAQ modeled vmassc? Model.cmaq.discover.conus.depv.vmassi (cm/sec) 1 level(s) of CMAQ modeled vmassi? Model.cmaq.discover.conus.depv.vmassj (cm/sec) 1 level(s) of CMAQ modeled vmassj? Model.cmaq.discover.conus.depv.vnumacc (cm/sec) 1 level(s) of CMAQ modeled vnumacc? Model.cmaq.discover.conus.depv.vnumatkn (cm/sec) 1 level(s) of CMAQ modeled vnumatkn? Model.cmaq.discover.conus.depv.vnumcor (cm/sec) 1 level(s) of CMAQ modeled vnumcor? Model.cmaq.discover.conus.depv.vsrfacc (cm/sec) 1 level(s) of CMAQ modeled vsrfacc? Model.cmaq.discover.conus.depv.vsrfatkn (cm/sec) 1 level(s) of CMAQ modeled vsrfatkn? Model.cmaq.discover.conus.depv.vsrfcor (cm/sec) 1 level(s) of CMAQ modeled vsrfcor? Model.cmaq.discover.conus.drydep.aacd (kg/hectare) 1 level(s) of CMAQ modeled Acetic And Higher Carboxylic Acids Model.cmaq.discover.conus.drydep.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.conus.drydep.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.conus.drydep.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.conus.drydep.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.conus.drydep.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.conus.drydep.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.conus.drydep.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.conus.drydep.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.conus.drydep.acors (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.conus.drydep.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.conus.drydep.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.conus.drydep.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.conus.drydep.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Elemental Accumulation Mode Model.cmaq.discover.conus.drydep.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.conus.drydep.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.conus.drydep.akj (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.conus.drydep.ald2 (kg/hectare) 1 level(s) of CMAQ modeled Fine mode potassium Model.cmaq.discover.conus.drydep.aldx (kg/hectare) 1 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.conus.drydep.amgj (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.conus.drydep.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Aitken Mode Model.cmaq.discover.conus.drydep.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.conus.drydep.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.conus.drydep.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.conus.drydep.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.conus.drydep.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.conus.drydep.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.conus.drydep.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.conus.drydep.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.conus.drydep.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.conus.drydep.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.conus.drydep.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol organic carbon Accumulation Mode Model.cmaq.discover.conus.drydep.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol other carbon Accumulation Mode Model.cmaq.discover.conus.drydep.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Aitken Mode Model.cmaq.discover.conus.drydep.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Accumulation Mode Model.cmaq.discover.conus.drydep.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.conus.drydep.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.conus.drydep.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.conus.drydep.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.conus.drydep.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.conus.drydep.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.conus.drydep.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.conus.drydep.asqtj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.conus.drydep.atij (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.conus.drydep.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.conus.drydep.atol2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.drydep.atol3j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.drydep.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.conus.drydep.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.conus.drydep.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.conus.drydep.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.drydep.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.drydep.cl2 (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.conus.drydep.co (kg/hectare) 1 level(s) of CMAQ modeled Elemental Chlorine Model.cmaq.discover.conus.drydep.crpx (kg/hectare) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.conus.drydep.facd (kg/hectare) 1 level(s) of CMAQ modeled Nitro-cresol from hydroperoxide Model.cmaq.discover.conus.drydep.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.conus.drydep.form (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.conus.drydep.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.conus.drydep.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.conus.drydep.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.conus.drydep.hocl (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.conus.drydep.hono (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.conus.drydep.meoh (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.conus.drydep.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.conus.drydep.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.conus.drydep.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.conus.drydep.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.conus.drydep.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.conus.drydep.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.conus.drydep.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.conus.drydep.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.conus.drydep.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.conus.drydep.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.conus.drydep.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.conus.drydep.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.conus.drydep.rooh (kg/hectare) 1 level(s) of CMAQ modeled Higher organic peroxide Model.cmaq.discover.conus.drydep.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.conus.drydep.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.conus.emis.acrolein (g/s) 1 level(s) of CMAQ modeled acrolein Model.cmaq.discover.conus.emis.ald2 (g/s) 1 level(s) of CMAQ modeled Acetaldehyde Model.cmaq.discover.conus.emis.ald2_primary (g/s) 1 level(s) of CMAQ modeled ald2_primary Model.cmaq.discover.conus.emis.aldx (g/s) 1 level(s) of CMAQ modeled Propionaldehyde and higher aldehydes Model.cmaq.discover.conus.emis.benzene (g/s) 1 level(s) of CMAQ modeled benzene Model.cmaq.discover.conus.emis.butadiene13 (g/s) 1 level(s) of CMAQ modeled butadiene13 Model.cmaq.discover.conus.emis.ch4 (g/s) 1 level(s) of CMAQ modeled methane Model.cmaq.discover.conus.emis.cl2 (g/s) 1 level(s) of CMAQ modeled chlorine Model.cmaq.discover.conus.emis.co (g/s) 1 level(s) of CMAQ modeled carbon monoxide Model.cmaq.discover.conus.emis.eth (g/s) 1 level(s) of CMAQ modeled Ethene Model.cmaq.discover.conus.emis.etha (g/s) 1 level(s) of CMAQ modeled Ethane Model.cmaq.discover.conus.emis.etoh (g/s) 1 level(s) of CMAQ modeled Ethanol Model.cmaq.discover.conus.emis.form (g/s) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.conus.emis.form_primary (g/s) 1 level(s) of CMAQ modeled Formaldehyde primary Model.cmaq.discover.conus.emis.hcl (g/s) 1 level(s) of CMAQ modeled Hydrogen chloride Model.cmaq.discover.conus.emis.hono (g/s) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.conus.emis.iole (g/s) 1 level(s) of CMAQ modeled Internal olefin carbon bond Model.cmaq.discover.conus.emis.isop (g/s) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.conus.emis.meoh (g/s) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.conus.emis.naphthalene (g/s) 1 level(s) of CMAQ modeled naphthalene Model.cmaq.discover.conus.emis.nh3 (moles/s) 1 level(s) of CMAQ modeled ammonia Model.cmaq.discover.conus.emis.nh3_fert (moles/s) 1 level(s) of CMAQ modeled ammonia from fertilizers Model.cmaq.discover.conus.emis.no (moles/s) 1 level(s) of CMAQ modeled nitrogen monoxide Model.cmaq.discover.conus.emis.no2 (moles/s) 1 level(s) of CMAQ modeled nitrogen dioxide Model.cmaq.discover.conus.emis.nvol (moles/s) 1 level(s) of CMAQ modeled Nonvolatile Carbon Model.cmaq.discover.conus.emis.ole (moles/s) 1 level(s) of CMAQ modeled Terminal olefin carbon bond Model.cmaq.discover.conus.emis.pal (moles/s) 1 level(s) of CMAQ modeled Fine mode aluminum Model.cmaq.discover.conus.emis.par (moles/s) 1 level(s) of CMAQ modeled Paraffin carbon bond Model.cmaq.discover.conus.emis.pca (moles/s) 1 level(s) of CMAQ modeled fine mode calcium Model.cmaq.discover.conus.emis.pcl (moles/s) 1 level(s) of CMAQ modeled fine mode chlorine Model.cmaq.discover.conus.emis.pec (moles/s) 1 level(s) of CMAQ modeled fine mode elemental carbon Model.cmaq.discover.conus.emis.pfe (moles/s) 1 level(s) of CMAQ modeled fine mode iron Model.cmaq.discover.conus.emis.ph2o (moles/s) 1 level(s) of CMAQ modeled Fine mode particulate water Model.cmaq.discover.conus.emis.pk (moles/s) 1 level(s) of CMAQ modeled Fine mode potassium Model.cmaq.discover.conus.emis.pmc (moles/s) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.conus.emis.pmfine (moles/s) 1 level(s) of CMAQ modeled Fine mode primary particulate matter Model.cmaq.discover.conus.emis.pmg (moles/s) 1 level(s) of CMAQ modeled Fine mode magnesium Model.cmaq.discover.conus.emis.pmn (moles/s) 1 level(s) of CMAQ modeled Fine mode manganese Model.cmaq.discover.conus.emis.pmothr (moles/s) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.conus.emis.pna (moles/s) 1 level(s) of CMAQ modeled Fine mode sodium Model.cmaq.discover.conus.emis.pncom (moles/s) 1 level(s) of CMAQ modeled Fine mode primary non-carbon organic matter Model.cmaq.discover.conus.emis.pnh4 (moles/s) 1 level(s) of CMAQ modeled Fine particulate ammonium Model.cmaq.discover.conus.emis.pno3 (moles/s) 1 level(s) of CMAQ modeled Fine mode nitrate Model.cmaq.discover.conus.emis.poc (moles/s) 1 level(s) of CMAQ modeled Fine mode primary organic carbon Model.cmaq.discover.conus.emis.psi (moles/s) 1 level(s) of CMAQ modeled Fine mode silicon Model.cmaq.discover.conus.emis.pso4 (moles/s) 1 level(s) of CMAQ modeled Fine mode sulfate Model.cmaq.discover.conus.emis.pti (moles/s) 1 level(s) of CMAQ modeled Fine mode titanium Model.cmaq.discover.conus.emis.so2 (moles/s) 1 level(s) of CMAQ modeled Fine mode sulfate Model.cmaq.discover.conus.emis.sulf (moles/s) 1 level(s) of CMAQ modeled sulfate Model.cmaq.discover.conus.emis.terp (moles/s) 1 level(s) of CMAQ modeled Terpene Model.cmaq.discover.conus.emis.tol (moles/s) 1 level(s) of CMAQ modeled Toluene And Other Monoalkyl Aromatics Model.cmaq.discover.conus.emis.unk (moles/s) 1 level(s) of CMAQ modeled Unknown Model.cmaq.discover.conus.emis.unr (moles/s) 1 level(s) of CMAQ modeled Unreactive Model.cmaq.discover.conus.emis.voc_inv (moles/s) 1 level(s) of CMAQ modeled volatile organic componds inv Model.cmaq.discover.conus.emis.xyl (moles/s) 1 level(s) of CMAQ modeled Xylene And Other Polyalkyl Aromatics Model.cmaq.discover.conus.metcro2d.rainc (mm) 1 level(s) of CMAQ modeled Accumulated total cumulus precipitation Model.cmaq.discover.conus.metcro2d.rainnc (mm) 1 level(s) of CMAQ modeled Accumulated total grid scale precipitation Model.cmaq.discover.conus.metcro3d.dens (Pa) 35 level(s) of CMAQ modeled Base state pressure Model.cmaq.discover.conus.noy.noy (ppmV) 35 level(s) of CMAQ modeled Total reactive nitrogen Model.cmaq.discover.conus.photdiag1.albedo_w294 (-) 1 level(s) of CMAQ modeled Surface Albedo at the wavelength 294 nm Model.cmaq.discover.conus.photdiag1.albedo_w303 (-) 1 level(s) of CMAQ modeled Surface Albedo at the wavelength 303 nm Model.cmaq.discover.conus.photdiag1.albedo_w310 (-) 1 level(s) of CMAQ modeled Surface Albedo at the wavelength 310 nm Model.cmaq.discover.conus.photdiag1.albedo_w316 (-) 1 level(s) of CMAQ modeled Surface Albedo at the wavelength 316 nm Model.cmaq.discover.conus.photdiag1.albedo_w333 (-) 1 level(s) of CMAQ modeled Surface Albedo at the wavelength 333 nm Model.cmaq.discover.conus.photdiag1.albedo_w381 (-) 1 level(s) of CMAQ modeled Surface Albedo at the wavelength 381 nm Model.cmaq.discover.conus.photdiag1.albedo_w607 (-) 1 level(s) of CMAQ modeled Surface Albedo at the wavelength 607 nm Model.cmaq.discover.conus.photdiag1.coszens (-) 1 level(s) of CMAQ modeled Cosine of Solar Zenith Angle Model.cmaq.discover.conus.photdiag1.etot_sfc_w294 (W/m2) 1 level(s) of CMAQ modeled Total Downward Irradiance at sfc, 294 nm Model.cmaq.discover.conus.photdiag1.etot_sfc_w303 (W/m2) 1 level(s) of CMAQ modeled Total Downward Irradiance at sfc, 303 nm Model.cmaq.discover.conus.photdiag1.etot_sfc_w310 (W/m2) 1 level(s) of CMAQ modeled Total Downward Irradiance at sfc, 310 nm Model.cmaq.discover.conus.photdiag1.etot_sfc_w316 (W/m2) 1 level(s) of CMAQ modeled Total Downward Irradiance at sfc, 316 nm Model.cmaq.discover.conus.photdiag1.etot_sfc_w333 (W/m2) 1 level(s) of CMAQ modeled Total Downward Irradiance at sfc, 333 nm Model.cmaq.discover.conus.photdiag1.etot_sfc_w381 (W/m2) 1 level(s) of CMAQ modeled Total Downward Irradiance at sfc, 381 nm Model.cmaq.discover.conus.photdiag1.etot_sfc_w607 (W/m2) 1 level(s) of CMAQ modeled Total Downward Irradiance at sfc, 607 nm Model.cmaq.discover.conus.photdiag1.jno2 (1/min) 1 level(s) of CMAQ modeled J-value for NO2 Model.cmaq.discover.conus.photdiag1.jo3o1d (1/min) 1 level(s) of CMAQ modeled J-value for O3O1D Model.cmaq.discover.conus.photdiag1.tau_aero_w294 (-) 1 level(s) of CMAQ modeled Aerosol Optical Depth, 294 nm Model.cmaq.discover.conus.photdiag1.tau_aero_w303 (-) 1 level(s) of CMAQ modeled Aerosol Optical Depth, 303 nm Model.cmaq.discover.conus.photdiag1.tau_aero_w310 (-) 1 level(s) of CMAQ modeled Aerosol Optical Depth, 310 nm Model.cmaq.discover.conus.photdiag1.tau_aero_w316 (-) 1 level(s) of CMAQ modeled Aerosol Optical Depth, 316 nm Model.cmaq.discover.conus.photdiag1.tau_aero_w333 (-) 1 level(s) of CMAQ modeled Aerosol Optical Depth, 333 nm Model.cmaq.discover.conus.photdiag1.tau_aero_w381 (-) 1 level(s) of CMAQ modeled Aerosol Optical Depth, 381 nm Model.cmaq.discover.conus.photdiag1.tau_aero_w607 (-) 1 level(s) of CMAQ modeled Aerosol Optical Depth, 607 nm Model.cmaq.discover.conus.photdiag1.tau_tot_w294 (-) 1 level(s) of CMAQ modeled Total Optical Depth, 294 nm Model.cmaq.discover.conus.photdiag1.tau_tot_w303 (-) 1 level(s) of CMAQ modeled Total Optical Depth, 303 nm Model.cmaq.discover.conus.photdiag1.tau_tot_w310 (-) 1 level(s) of CMAQ modeled Total Optical Depth, 310 nm Model.cmaq.discover.conus.photdiag1.tau_tot_w316 (-) 1 level(s) of CMAQ modeled Total Optical Depth, 316 nm Model.cmaq.discover.conus.photdiag1.tau_tot_w333 (-) 1 level(s) of CMAQ modeled Total Optical Depth, 333 nm Model.cmaq.discover.conus.photdiag1.tau_tot_w381 (-) 1 level(s) of CMAQ modeled Total Optical Depth, 381 nm Model.cmaq.discover.conus.photdiag1.tau_tot_w607 (-) 1 level(s) of CMAQ modeled Total Optical Depth, 607 nm Model.cmaq.discover.conus.photdiag1.tauo3_top_w294 (-) 1 level(s) of CMAQ modeled Optical Depth of O3 above model domain, 294 nm Model.cmaq.discover.conus.photdiag1.tauo3_top_w303 (-) 1 level(s) of CMAQ modeled Optical Depth of O3 above model domain, 303 nm Model.cmaq.discover.conus.photdiag1.tauo3_top_w310 (-) 1 level(s) of CMAQ modeled Optical Depth of O3 above model domain, 310 nm Model.cmaq.discover.conus.photdiag1.tauo3_top_w316 (-) 1 level(s) of CMAQ modeled Optical Depth of O3 above model domain, 316 nm Model.cmaq.discover.conus.photdiag1.tauo3_top_w333 (-) 1 level(s) of CMAQ modeled Optical Depth of O3 above model domain, 333 nm Model.cmaq.discover.conus.photdiag1.tauo3_top_w381 (-) 1 level(s) of CMAQ modeled Optical Depth of O3 above model domain, 381 nm Model.cmaq.discover.conus.photdiag1.tauo3_top_w607 (-) 1 level(s) of CMAQ modeled Optical Depth of O3 above model domain, 607 nm Model.cmaq.discover.conus.photdiag1.toc (DU) 1 level(s) of CMAQ modeled Total Ozone Column Model.cmaq.discover.conus.photdiag2.acrolein_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for acrolein_saprc99 Model.cmaq.discover.conus.photdiag2.c2cho_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for c2cho_saprc99 Model.cmaq.discover.conus.photdiag2.ccho_r_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for ccho_r_saprc99 Model.cmaq.discover.conus.photdiag2.cl2_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for cl2_iupac04 Model.cmaq.discover.conus.photdiag2.cooh_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for cooh_saprc99 Model.cmaq.discover.conus.photdiag2.fmcl_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for fmcl_iupac04 Model.cmaq.discover.conus.photdiag2.h2o2_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for h2o2_saprc99 Model.cmaq.discover.conus.photdiag2.hcho_m_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for hcho_m_saprc99 Model.cmaq.discover.conus.photdiag2.hcho_r_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for hcho_r_saprc99 Model.cmaq.discover.conus.photdiag2.hno3_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for hno3_iupac04 Model.cmaq.discover.conus.photdiag2.ho2no2_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for ho2no2_iupac04 Model.cmaq.discover.conus.photdiag2.hocl_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for hocl_iupac04 Model.cmaq.discover.conus.photdiag2.hono_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for hono_iupac04 Model.cmaq.discover.conus.photdiag2.mgly_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for mgly_iupac04 Model.cmaq.discover.conus.photdiag2.n2o5_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for n2o5_iupac04 Model.cmaq.discover.conus.photdiag2.no2_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for no2_saprc99 Model.cmaq.discover.conus.photdiag2.no3no2_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for no3no2_saprc99 Model.cmaq.discover.conus.photdiag2.no3no_saprc99 (1/min) 35 level(s) of CMAQ modeled photolysis rates for no3no_saprc99 Model.cmaq.discover.conus.photdiag2.ntr_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for ntr_iupac04 Model.cmaq.discover.conus.photdiag2.o3_o1d_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for o3_o1d_iupac04 Model.cmaq.discover.conus.photdiag2.o3_o3p_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for o3_o3p_iupac04 Model.cmaq.discover.conus.photdiag2.pacd_cb05 (1/min) 35 level(s) of CMAQ modeled photolysis rates for pacd_cb05 Model.cmaq.discover.conus.photdiag2.pan_iupac04 (1/min) 35 level(s) of CMAQ modeled photolysis rates for pan_iupac04 Model.cmaq.discover.conus.pm25.pm25 (ug/m3) 35 level(s) of CMAQ modeled particulate matter (aerosols) not more than 2.5 microns in diameter Model.cmaq.discover.conus.soilinp.ptype (integer) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.conus.soilinp.pulsedate (yyyyddd) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.conus.soilinp.pulsetime (hhmmss) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.conus.soilinp.rainfall01 (cm) 1 level(s) of CMAQ modeled Aerosol Water Vapor Accumulation Mode Model.cmaq.discover.conus.soilinp.rainfall02 (cm) 1 level(s) of CMAQ modeled Aerosol Water Vapor Coarse Mode Model.cmaq.discover.conus.soilinp.rainfall03 (cm) 1 level(s) of CMAQ modeled Aerosol Potassium Accumulation Mode Model.cmaq.discover.conus.soilinp.rainfall04 (cm) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.conus.soilinp.rainfall05 (cm) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.conus.soilinp.rainfall06 (cm) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.conus.soilinp.rainfall07 (cm) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.conus.soilinp.rainfall08 (cm) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.conus.soilinp.rainfall09 (cm) 1 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.conus.soilinp.rainfall10 (cm) 1 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.conus.soilinp.rainfall11 (cm) 1 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.conus.soilinp.rainfall12 (cm) 1 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.conus.soilinp.rainfall13 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall14 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall15 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall16 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall17 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall18 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall19 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall20 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall21 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall22 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall23 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.soilinp.rainfall24 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.conus.ssemis.acaj (g/s) 1 level(s) of CMAQ modeled no emission pulse type Model.cmaq.discover.conus.ssemis.aclj (g/s) 1 level(s) of CMAQ modeled cmaq starting date for no emission pulse Model.cmaq.discover.conus.ssemis.aclk (g/s) 1 level(s) of CMAQ modeled cmaq starting time for no emission pulse Model.cmaq.discover.conus.ssemis.ah2oj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 010000 Model.cmaq.discover.conus.ssemis.ah2ok (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 020000 Model.cmaq.discover.conus.ssemis.akj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 030000 Model.cmaq.discover.conus.ssemis.amgj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 040000 Model.cmaq.discover.conus.ssemis.anaj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 050000 Model.cmaq.discover.conus.ssemis.aseacat (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 060000 Model.cmaq.discover.conus.ssemis.aso4j (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 070000 Model.cmaq.discover.conus.ssemis.aso4k (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 080000 Model.cmaq.discover.conus.ssemis.numacc (number/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 090000 Model.cmaq.discover.conus.ssemis.numcor (number/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 100000 Model.cmaq.discover.conus.ssemis.srfacc (m2/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 110000 Model.cmaq.discover.conus.ssemis.srfcor (m2/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 120000 Model.cmaq.discover.conus.wetdep1.aacd (kg/hectare) 1 level(s) of CMAQ modeled Higher carboxylic acid Model.cmaq.discover.conus.wetdep1.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol aluminum Accumulation Mode Model.cmaq.discover.conus.wetdep1.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.conus.wetdep1.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.conus.wetdep1.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.conus.wetdep1.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.conus.wetdep1.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.conus.wetdep1.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.conus.wetdep1.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.conus.wetdep1.acors (kg/hectare) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.conus.wetdep1.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.conus.wetdep1.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.conus.wetdep1.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Accumulation Mode Model.cmaq.discover.conus.wetdep1.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.conus.wetdep1.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.conus.wetdep1.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.conus.wetdep1.akj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol potassium Accumulation Mode Model.cmaq.discover.conus.wetdep1.ald2 (kg/hectare) 1 level(s) of CMAQ modeled High Molecular Weight Aldehydes Model.cmaq.discover.conus.wetdep1.aldx (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.conus.wetdep1.amgj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.conus.wetdep1.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.conus.wetdep1.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.conus.wetdep1.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.conus.wetdep1.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.conus.wetdep1.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.conus.wetdep1.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.conus.wetdep1.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.conus.wetdep1.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.conus.wetdep1.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.conus.wetdep1.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.conus.wetdep1.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.conus.wetdep1.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.conus.wetdep1.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.conus.wetdep1.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.conus.wetdep1.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Aitken Mode Model.cmaq.discover.conus.wetdep1.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.conus.wetdep1.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.conus.wetdep1.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Silicon Accumulation Mode Model.cmaq.discover.conus.wetdep1.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.conus.wetdep1.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.conus.wetdep1.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.conus.wetdep1.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol soil-derived Model.cmaq.discover.conus.wetdep1.asqtj (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.conus.wetdep1.atij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.conus.wetdep1.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.wetdep1.atol2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.wetdep1.atol3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.conus.wetdep1.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.conus.wetdep1.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.conus.wetdep1.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.wetdep1.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.wetdep1.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.conus.wetdep1.cl2 (kg/hectare) 1 level(s) of CMAQ modeled Chlorine Model.cmaq.discover.conus.wetdep1.co (kg/hectare) 1 level(s) of CMAQ modeled Carbon monoxide Model.cmaq.discover.conus.wetdep1.facd (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.conus.wetdep1.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.conus.wetdep1.form (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.conus.wetdep1.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.conus.wetdep1.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.conus.wetdep1.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.conus.wetdep1.hocl (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.conus.wetdep1.hono (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.conus.wetdep1.hplus (kg/hectare) 1 level(s) of CMAQ modeled Hydronium ion Model.cmaq.discover.conus.wetdep1.meoh (kg/hectare) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.conus.wetdep1.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.conus.wetdep1.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.conus.wetdep1.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.conus.wetdep1.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.conus.wetdep1.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.conus.wetdep1.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.conus.wetdep1.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.conus.wetdep1.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.conus.wetdep1.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.conus.wetdep1.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.conus.wetdep1.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.conus.wetdep1.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.conus.wetdep1.pna (kg/hectare) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.conus.wetdep1.rooh (kg/hectare) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.conus.wetdep1.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.conus.wetdep1.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.conus.wetdep2.aacd (kg/hectare) 1 level(s) of CMAQ modeled Higher carboxylic acid Model.cmaq.discover.conus.wetdep2.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol aluminum Accumulation Mode Model.cmaq.discover.conus.wetdep2.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.conus.wetdep2.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.conus.wetdep2.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.conus.wetdep2.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.conus.wetdep2.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.conus.wetdep2.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.conus.wetdep2.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.conus.wetdep2.acors (kg/hectare) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.conus.wetdep2.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.conus.wetdep2.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.conus.wetdep2.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Accumulation Mode Model.cmaq.discover.conus.wetdep2.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.conus.wetdep2.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.conus.wetdep2.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.conus.wetdep2.akj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol potassium Accumulation Mode Model.cmaq.discover.conus.wetdep2.ald2 (kg/hectare) 1 level(s) of CMAQ modeled High Molecular Weight Aldehydes Model.cmaq.discover.conus.wetdep2.aldx (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.conus.wetdep2.amgj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.conus.wetdep2.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.conus.wetdep2.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.conus.wetdep2.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.conus.wetdep2.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.conus.wetdep2.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.conus.wetdep2.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.conus.wetdep2.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.conus.wetdep2.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.conus.wetdep2.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.conus.wetdep2.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.conus.wetdep2.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.conus.wetdep2.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.conus.wetdep2.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.conus.wetdep2.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.conus.wetdep2.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Aitken Mode Model.cmaq.discover.conus.wetdep2.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.conus.wetdep2.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.conus.wetdep2.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Silicon Accumulation Mode Model.cmaq.discover.conus.wetdep2.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.conus.wetdep2.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.conus.wetdep2.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.conus.wetdep2.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol soil-derived Model.cmaq.discover.conus.wetdep2.asqtj (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.conus.wetdep2.atij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.conus.wetdep2.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.wetdep2.atol2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.conus.wetdep2.atol3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.conus.wetdep2.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.conus.wetdep2.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.conus.wetdep2.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.wetdep2.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.conus.wetdep2.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.conus.wetdep2.cl2 (kg/hectare) 1 level(s) of CMAQ modeled chlorine Model.cmaq.discover.conus.wetdep2.cld_trans (-) 1 level(s) of CMAQ modeled total cloud transmissivity Model.cmaq.discover.conus.wetdep2.cloud_bottom (layer-number) 1 level(s) of CMAQ modeled layer containing bottom of cloud, or missing = -9999.9 Model.cmaq.discover.conus.wetdep2.co (kg/hectare) 1 level(s) of CMAQ modeled Carbon monoxide Model.cmaq.discover.conus.wetdep2.facd (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.conus.wetdep2.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.conus.wetdep2.form (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.conus.wetdep2.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.conus.wetdep2.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.conus.wetdep2.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.conus.wetdep2.hocl (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.conus.wetdep2.hono (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.conus.wetdep2.hplus (kg/hectare) 1 level(s) of CMAQ modeled Hydronium ion Model.cmaq.discover.conus.wetdep2.meoh (kg/hectare) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.conus.wetdep2.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.conus.wetdep2.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.conus.wetdep2.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.conus.wetdep2.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.conus.wetdep2.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.conus.wetdep2.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.conus.wetdep2.np_cldfrac (-) 1 level(s) of CMAQ modeled Non-precipitating cloud fraction Model.cmaq.discover.conus.wetdep2.np_cloudtop (layer-number) 1 level(s) of CMAQ modeled Model layer containing top of non-precipitating cloud Model.cmaq.discover.conus.wetdep2.np_trans (-) 1 level(s) of CMAQ modeled Non-precipitating cloud transmissivity Model.cmaq.discover.conus.wetdep2.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.conus.wetdep2.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.conus.wetdep2.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.conus.wetdep2.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.conus.wetdep2.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.conus.wetdep2.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.conus.wetdep2.plcl (pa ) 1 level(s) of CMAQ modeled Pressure at lifting condensation level Model.cmaq.discover.conus.wetdep2.pna (kg/hectare) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.conus.wetdep2.pr_cldfrac (-) 1 level(s) of CMAQ modeled Precipitating cloud fraction Model.cmaq.discover.conus.wetdep2.pr_cloudtop (layer-number) 1 level(s) of CMAQ modeled Precipitating cloud top layer number Model.cmaq.discover.conus.wetdep2.pr_trans (-) 1 level(s) of CMAQ modeled Precipitating cloud transmissivity Model.cmaq.discover.conus.wetdep2.rain_flag (1 or 0) 1 level(s) of CMAQ modeled Rain flag 1 is raining 0 is not raining Model.cmaq.discover.conus.wetdep2.res_trans (-) 1 level(s) of CMAQ modeled Resolved cloud transmissivity Model.cmaq.discover.conus.wetdep2.rooh (kg/hectare) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.conus.wetdep2.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.conus.wetdep2.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.east.aconc.aacd (ppmV) 1 level(s) of CMAQ modeled Acetic And Higher Carboxylic Acids Model.cmaq.discover.east.aconc.aalj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.east.aconc.aalkj (ug/m3) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.east.aconc.abnz1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.east.aconc.abnz2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.east.aconc.abnz3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.east.aconc.acaj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.east.aconc.acli (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.east.aconc.aclj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.east.aconc.aclk (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.east.aconc.acors (ug/m3) 1 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.east.aconc.aeci (ug/m3) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.east.aconc.aecj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.east.aconc.afej (ug/m3) 1 level(s) of CMAQ modeled Aerosol Iron Elemental Accumulation Mode Model.cmaq.discover.east.aconc.ah2oi (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Aitken Mode Model.cmaq.discover.east.aconc.ah2oj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Accumulation Mode Model.cmaq.discover.east.aconc.ah2ok (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Coarse Mode Model.cmaq.discover.east.aconc.aiso1j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.east.aconc.aiso2j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.east.aconc.aiso3j (ug/m3) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.east.aconc.akj (ug/m3) 1 level(s) of CMAQ modeled Counter species for computing SOA from ISOP Model.cmaq.discover.east.aconc.ald2 (ppmV) 1 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.east.aconc.aldx (ppmV) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.east.aconc.amgj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Magnesium Aitken Mode Model.cmaq.discover.east.aconc.amnj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.east.aconc.anai (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sodium Aitken Mode Model.cmaq.discover.east.aconc.anaj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.east.aconc.anh4i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.east.aconc.anh4j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.east.aconc.anh4k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.east.aconc.ano3i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.east.aconc.ano3j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.east.aconc.ano3k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.east.aconc.aolgaj (ug/m3) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.east.aconc.aolgbj (ug/m3) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.east.aconc.aorgcj (ug/m3) 1 level(s) of CMAQ modeled SOA from in-cloud oxidation of dialdehydes Model.cmaq.discover.east.aconc.aothri (ug/m3) 1 level(s) of CMAQ modeled Aerosol Other Aitken Mode Model.cmaq.discover.east.aconc.aothrj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Other Accumulation Mode Model.cmaq.discover.east.aconc.apncomi (ug/m3) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Aitken Mode Model.cmaq.discover.east.aconc.apncomj (ug/m3) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Accumulation Mode Model.cmaq.discover.east.aconc.apoci (ug/m3) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.east.aconc.apocj (ug/m3) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.east.aconc.aseacat (ug/m3) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.east.aconc.asij (ug/m3) 1 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.east.aconc.aso4i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.east.aconc.aso4j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.east.aconc.aso4k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.east.aconc.asoil (ug/m3) 1 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.east.aconc.asqtj (ug/m3) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.east.aconc.atij (ug/m3) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.east.aconc.atol1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.aconc.atol2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.aconc.atol3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.east.aconc.atrp1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.east.aconc.atrp2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.east.aconc.axyl1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.aconc.axyl2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.aconc.axyl3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.east.aconc.benzene (ppmV) 1 level(s) of CMAQ modeled Benzene Model.cmaq.discover.east.aconc.benzro2 (ppmV) 1 level(s) of CMAQ modeled First generation SOA intermediate from benzene oxidation Model.cmaq.discover.east.aconc.bnzhrxn (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from BENZENE under low NOx conditions Model.cmaq.discover.east.aconc.bnznrxn (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from BENZENE under high NOx conditions Model.cmaq.discover.east.aconc.c2o3 (ppmV) 1 level(s) of CMAQ modeled Peroxy Radical from Methyl-catechol Model.cmaq.discover.east.aconc.cao2 (ppmV) 1 level(s) of CMAQ modeled Acetyl Peroxy Radical Model.cmaq.discover.east.aconc.cat1 (ppmV) 1 level(s) of CMAQ modeled Methyl-catechol Model.cmaq.discover.east.aconc.cl (ppmV) 1 level(s) of CMAQ modeled Chlorides Model.cmaq.discover.east.aconc.cl2 (ppmV) 1 level(s) of CMAQ modeled Elemental Chlorine Model.cmaq.discover.east.aconc.clo (ppmV) 1 level(s) of CMAQ modeled Hypoclorite Model.cmaq.discover.east.aconc.co (ppmV) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.east.aconc.cres (ppmV) 1 level(s) of CMAQ modeled Cresol And Higher Molecular Weight Phenois Model.cmaq.discover.east.aconc.crn2 (ppmV) 1 level(s) of CMAQ modeled Chromium nitrate Model.cmaq.discover.east.aconc.crno (ppmV) 1 level(s) of CMAQ modeled Alkoxy Radical Model.cmaq.discover.east.aconc.cro (ppmV) 1 level(s) of CMAQ modeled Methylphenoxy Radical Model.cmaq.discover.east.aconc.cron (ppmV) 1 level(s) of CMAQ modeled nitrocresol Model.cmaq.discover.east.aconc.crpx (ppmV) 1 level(s) of CMAQ modeled C3+ Peroxyacetyl Radicals Model.cmaq.discover.east.aconc.cxo3 (ppmV) 1 level(s) of CMAQ modeled Nitro-cresol from hydroperoxide Model.cmaq.discover.east.aconc.eth (ppmV) 1 level(s) of CMAQ modeled Higher acylperoxy radical Model.cmaq.discover.east.aconc.etha (ppmV) 1 level(s) of CMAQ modeled Ethene Model.cmaq.discover.east.aconc.etoh (ppmV) 1 level(s) of CMAQ modeled Ethane Model.cmaq.discover.east.aconc.facd (ppmV) 1 level(s) of CMAQ modeled Ethanol Model.cmaq.discover.east.aconc.fmcl (ppmV) 1 level(s) of CMAQ modeled Formic Acid Model.cmaq.discover.east.aconc.form (ppmV) 1 level(s) of CMAQ modeled Formyl Chloride Model.cmaq.discover.east.aconc.h2o2 (ppmV) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.east.aconc.hcl (ppmV) 1 level(s) of CMAQ modeled Peroxide Model.cmaq.discover.east.aconc.hco3 (ppmV) 1 level(s) of CMAQ modeled Hydrocloric Acid Model.cmaq.discover.east.aconc.hno3 (ppmV) 1 level(s) of CMAQ modeled Radical formed when formaldehyde reacts with HO2 Model.cmaq.discover.east.aconc.ho2 (ppmV) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.discover.east.aconc.hocl (ppmV) 1 level(s) of CMAQ modeled Hydroperoxy Radical Model.cmaq.discover.east.aconc.hono (ppmV) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.east.aconc.iole (ppmV) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.discover.east.aconc.isop (ppmV) 1 level(s) of CMAQ modeled Internal Olefins Model.cmaq.discover.east.aconc.isoprxn (ppmV) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.east.aconc.ispd (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from ISOP Model.cmaq.discover.east.aconc.meo2 (ppmV) 1 level(s) of CMAQ modeled Isoprene Product Model.cmaq.discover.east.aconc.meoh (ppmV) 1 level(s) of CMAQ modeled Methyl Peroxy Radical Model.cmaq.discover.east.aconc.mepx (ppmV) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.east.aconc.mgly (ppmV) 1 level(s) of CMAQ modeled Methyl Hydroperoxide Model.cmaq.discover.east.aconc.n2o5 (ppmV) 1 level(s) of CMAQ modeled Methylglyoxal And Other Aeromatic Products Model.cmaq.discover.east.aconc.nh3 (ppmV) 1 level(s) of CMAQ modeled Dinitrate Pentoxide Model.cmaq.discover.east.aconc.no (ppmV) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.east.aconc.no2 (ppmV) 1 level(s) of CMAQ modeled Nitrogen Oxide Model.cmaq.discover.east.aconc.no3 (ppmV) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.discover.east.aconc.ntr (ppmV) 1 level(s) of CMAQ modeled Nitrogen Trioxide Model.cmaq.discover.east.aconc.numacc (number/m3) 1 level(s) of CMAQ modeled Nitrate Model.cmaq.discover.east.aconc.numatkn (number/m3) 1 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.east.aconc.numcor (number/m3) 1 level(s) of CMAQ modeled Aitken Mode Number Model.cmaq.discover.east.aconc.o (ppmV) 1 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.east.aconc.o1d (ppmV) 1 level(s) of CMAQ modeled Oxygen Atom In The O3(P) Electronic State Model.cmaq.discover.east.aconc.o3 (ppmV) 1 level(s) of CMAQ modeled Oxygen Atom In The O1(D) Electronic State Model.cmaq.discover.east.aconc.oh (ppmV) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.east.aconc.ole (ppmV) 1 level(s) of CMAQ modeled Hydroxyl Radical Model.cmaq.discover.east.aconc.opan (ppmV) 1 level(s) of CMAQ modeled Terminal Olefin Carbon Bond Model.cmaq.discover.east.aconc.open (ppmV) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.east.aconc.opo3 (ppmV) 1 level(s) of CMAQ modeled Aromatic Ring Opening Product Model.cmaq.discover.east.aconc.pacd (ppmV) 1 level(s) of CMAQ modeled Peroxy radical from Aromatic ring opening product Model.cmaq.discover.east.aconc.pan (ppmV) 1 level(s) of CMAQ modeled Peroxyacetic And Higher Peroxycarboxylic Acids Model.cmaq.discover.east.aconc.panx (ppmV) 1 level(s) of CMAQ modeled Peroxy Acetyl Nitrate Model.cmaq.discover.east.aconc.par (ppmV) 1 level(s) of CMAQ modeled C3+ PANs Model.cmaq.discover.east.aconc.pna (ppmV) 1 level(s) of CMAQ modeled Paraffin Carbon Bond Model.cmaq.discover.east.aconc.rooh (ppmV) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.east.aconc.ror (ppmV) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.east.aconc.sesq (ppmV) 1 level(s) of CMAQ modeled Secondary Alkoxy Radical Model.cmaq.discover.east.aconc.sesqrxn (ppmV) 1 level(s) of CMAQ modeled Sesquiterpene Model.cmaq.discover.east.aconc.so2 (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from SESQ Model.cmaq.discover.east.aconc.srfacc (m2/m3) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.east.aconc.srfatkn (m2/m3) 1 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.east.aconc.srfcor (m2/m3) 1 level(s) of CMAQ modeled Aitken Mode Surface Area Model.cmaq.discover.east.aconc.sulf (ppmV) 1 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.east.aconc.sulrxn (ppmV) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.east.aconc.sv_alk (ppmV) 1 level(s) of CMAQ modeled Counter species for computing aerosols from SULF Model.cmaq.discover.east.aconc.sv_bnz1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile alkanes Model.cmaq.discover.east.aconc.sv_bnz2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from benzene1 Model.cmaq.discover.east.aconc.sv_iso1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from benzene2 Model.cmaq.discover.east.aconc.sv_iso2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from isoprene1 Model.cmaq.discover.east.aconc.sv_sqt (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from isoprene2 Model.cmaq.discover.east.aconc.sv_tol1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from sesquiterpene Model.cmaq.discover.east.aconc.sv_tol2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Toluene1 Model.cmaq.discover.east.aconc.sv_trp1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Toluene2 Model.cmaq.discover.east.aconc.sv_trp2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Terpene1 Model.cmaq.discover.east.aconc.sv_xyl1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Terpene2 Model.cmaq.discover.east.aconc.sv_xyl2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Xylene1 Model.cmaq.discover.east.aconc.terp (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Xylene2 Model.cmaq.discover.east.aconc.to2 (ppmV) 1 level(s) of CMAQ modeled Terpene Model.cmaq.discover.east.aconc.tol (ppmV) 1 level(s) of CMAQ modeled Toluene-Hydroxyl Radical Adduct Model.cmaq.discover.east.aconc.tolhrxn (ppmV) 1 level(s) of CMAQ modeled Toluene And Other Monoalkyl Aromatics Model.cmaq.discover.east.aconc.tolnrxn (ppmV) 1 level(s) of CMAQ modeled tolhrxn? Model.cmaq.discover.east.aconc.tolro2 (ppmV) 1 level(s) of CMAQ modeled tolnrxn? Model.cmaq.discover.east.aconc.trprxn (ppmV) 1 level(s) of CMAQ modeled tolro2? Model.cmaq.discover.east.aconc.xo2 (ppmV) 1 level(s) of CMAQ modeled trprxn? Model.cmaq.discover.east.aconc.xo2n (ppmV) 1 level(s) of CMAQ modeled Peroxy Radical Operator Model.cmaq.discover.east.aconc.xyl (ppmV) 1 level(s) of CMAQ modeled NO To Organic Nitrate Conversion From Alkylperoxy Radical Model.cmaq.discover.east.aconc.xylhrxn (ppmV) 1 level(s) of CMAQ modeled Xylene And Other Polyalkyl Aromatics Model.cmaq.discover.east.aconc.xylnrxn (ppmV) 1 level(s) of CMAQ modeled xylhrxn? Model.cmaq.discover.east.aconc.xylro2 (ppmV) 1 level(s) of CMAQ modeled xylnrxn? Model.cmaq.discover.east.aerodiam.dgacc_dry (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Accumulation Mode Without Water Model.cmaq.discover.east.aerodiam.dgacc_wet (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Accumulation Mode With Water Model.cmaq.discover.east.aerodiam.dgatkn_dry (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Aitken Mode Without Water Model.cmaq.discover.east.aerodiam.dgatkn_wet (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Aitken Mode With Water Model.cmaq.discover.east.aerodiam.dgcor_dry (ug/m3) 35 level(s) of CMAQ modeled Coarse mode mean diameter without water Model.cmaq.discover.east.aerodiam.dgcor_wet (ug/m3) 35 level(s) of CMAQ modeled Coarse mode mean diameter with water Model.cmaq.discover.east.aerodiam.gamma_n2o5 (-) 35 level(s) of CMAQ modeled N2O5 Heterogeneous reaction probability Model.cmaq.discover.east.aerodiam.m2acc_wet (m2/m3) 35 level(s) of CMAQ modeled Accumulation mode 2nd moment (wet) Model.cmaq.discover.east.aerodiam.m2atkn_wet (m2/m3) 35 level(s) of CMAQ modeled Aitken mode 2nd moment (wet) Model.cmaq.discover.east.aerodiam.m2cor_wet (m3/m3) 35 level(s) of CMAQ modeled Coarse mode 2nd moment (wet) Model.cmaq.discover.east.aerodiam.m3acc_dry (m3/m3) 35 level(s) of CMAQ modeled Accumulation mode 3rd moment (dry) Model.cmaq.discover.east.aerodiam.m3acc_wet (m3/m3) 35 level(s) of CMAQ modeled Accumulation mode 3rd moment (wet) Model.cmaq.discover.east.aerodiam.m3atkn_dry (m3/m3) 35 level(s) of CMAQ modeled Aitken mode 3rd moment (dry) Model.cmaq.discover.east.aerodiam.m3atkn_wet (m3/m3) 35 level(s) of CMAQ modeled Aitken mode 3rd moment (wet) Model.cmaq.discover.east.aerodiam.m3cor_dry (m3/m3) 35 level(s) of CMAQ modeled Coarse mode 3rd moment (dry) Model.cmaq.discover.east.aerodiam.m3cor_wet (-) 35 level(s) of CMAQ modeled Coarse mode 3rd moment (wet) Model.cmaq.discover.east.aerodiam.pm25ac (-) 35 level(s) of CMAQ modeled Fine fraction of accumulation mode Model.cmaq.discover.east.aerodiam.pm25at (-) 35 level(s) of CMAQ modeled Fine fraction of Aitken mode Model.cmaq.discover.east.aerodiam.pm25co (-) 35 level(s) of CMAQ modeled Fine fraction of coarse mode Model.cmaq.discover.east.aerodiam.rh (-) 35 level(s) of CMAQ modeled Relative humiditity Model.cmaq.discover.east.aerodiam.stdevacc (-) 35 level(s) of CMAQ modeled Accumulation mode standard deviation (dry and wet) Model.cmaq.discover.east.aerodiam.stdevatkn (-) 35 level(s) of CMAQ modeled Aitken mode standard deviation (dry and wet) Model.cmaq.discover.east.aerodiam.stdevcor (-) 35 level(s) of CMAQ modeled Coarse mode standard deviation (dry and wet) Model.cmaq.discover.east.aerovis.dcv_mie (deciview) 1 level(s) of CMAQ modeled hourly visual range Model.cmaq.discover.east.aerovis.dcv_recon (deciview) 1 level(s) of CMAQ modeled hourly visual range Model.cmaq.discover.east.aerovis.ext_mie (1/km) 1 level(s) of CMAQ modeled hourly extinction coefficient Model.cmaq.discover.east.aerovis.ext_recon (1/km) 1 level(s) of CMAQ modeled hourly extinction coefficient Model.cmaq.discover.east.conc.aalj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.east.conc.aalkj (ug/m3) 35 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.east.conc.abnz1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.east.conc.abnz2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.east.conc.abnz3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.east.conc.acaj (ug/m3) 35 level(s) of CMAQ modeled Aerosol CA? Accumulation Mode Model.cmaq.discover.east.conc.acli (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.east.conc.aclj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.east.conc.aclk (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.east.conc.acors (ug/m3) 35 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.east.conc.aeci (ug/m3) 35 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.east.conc.aecj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.east.conc.afej (ug/m3) 35 level(s) of CMAQ modeled Aerosol ? Elemental Accumulation Mode Model.cmaq.discover.east.conc.ah2oi (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Aitken Mode Model.cmaq.discover.east.conc.ah2oj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Accumulation Mode Model.cmaq.discover.east.conc.ah2ok (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Coarse Mode Model.cmaq.discover.east.conc.aiso1j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.east.conc.aiso2j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.east.conc.aiso3j (ug/m3) 35 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.east.conc.akj (ug/m3) 35 level(s) of CMAQ modeled Aerosol ? Accumulation Mode Model.cmaq.discover.east.conc.ald2 (ppmv) 35 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.east.conc.aldx (ppmv) 35 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.east.conc.amgj (ug/m3) 35 level(s) of CMAQ modeled Aerosol MG? Aitken Mode Model.cmaq.discover.east.conc.amnj (ug/m3) 35 level(s) of CMAQ modeled Aerosol MN? Accumulation Mode Model.cmaq.discover.east.conc.anai (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sodium Aitken Mode Model.cmaq.discover.east.conc.anaj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.east.conc.anh4i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.east.conc.anh4j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.east.conc.anh4k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.east.conc.ano3i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.east.conc.ano3j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.east.conc.ano3k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.east.conc.aolgaj (ug/m3) 35 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.east.conc.aolgbj (ug/m3) 35 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.east.conc.aorgcj (ug/m3) 35 level(s) of CMAQ modeled SOA from in-cloud oxidation of dialdehydes Model.cmaq.discover.east.conc.aothri (ug/m3) 35 level(s) of CMAQ modeled Aerosol Other Aitken Mode Model.cmaq.discover.east.conc.aothrj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Other Accumulation Mode Model.cmaq.discover.east.conc.apncomi (ug/m3) 35 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.east.conc.apncomj (ug/m3) 35 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.east.conc.apoci (ug/m3) 35 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.east.conc.apocj (ug/m3) 35 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.east.conc.aseacat (ug/m3) 35 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.east.conc.asij (ug/m3) 35 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.east.conc.aso4i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.east.conc.aso4j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.east.conc.aso4k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.east.conc.asoil (ug/m3) 35 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.east.conc.asqtj (ug/m3) 35 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.east.conc.atij (ug/m3) 35 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.east.conc.atol1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.conc.atol2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.conc.atol3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.east.conc.atrp1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.east.conc.atrp2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.east.conc.axyl1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.conc.axyl2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.conc.axyl3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.east.conc.benzene (ppmv) 35 level(s) of CMAQ modeled benzene Model.cmaq.discover.east.conc.c2o3 (ppmv) 35 level(s) of CMAQ modeled Peroxy Radical from Methyl-catechol Model.cmaq.discover.east.conc.cao2 (ppmv) 35 level(s) of CMAQ modeled Acetyl Peroxy Radical Model.cmaq.discover.east.conc.co (ppmv) 35 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.east.conc.crn2 (ppmv) 35 level(s) of CMAQ modeled Chromium nitrate Model.cmaq.discover.east.conc.crno (ppmv) 35 level(s) of CMAQ modeled Alkoxy Radical Model.cmaq.discover.east.conc.cro (ppmv) 35 level(s) of CMAQ modeled Methylphenoxy Radical Model.cmaq.discover.east.conc.cron (ppmv) 35 level(s) of CMAQ modeled nitrocresol Model.cmaq.discover.east.conc.crpx (ppmv) 35 level(s) of CMAQ modeled C3+ Peroxyacetyl Radicals Model.cmaq.discover.east.conc.cxo3 (ppmv) 35 level(s) of CMAQ modeled CRPX? Model.cmaq.discover.east.conc.eth (ppmv) 35 level(s) of CMAQ modeled Higher acylperoxy radical Model.cmaq.discover.east.conc.etha (ppmv) 35 level(s) of CMAQ modeled Ethene Model.cmaq.discover.east.conc.etoh (ppmv) 35 level(s) of CMAQ modeled Ethane Model.cmaq.discover.east.conc.form (ppmv) 35 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.east.conc.h2o2 (ppmv) 35 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.east.conc.hco3 (ppmv) 35 level(s) of CMAQ modeled hco3 Model.cmaq.discover.east.conc.hno3 (ppmv) 35 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.east.conc.ho2 (ppmv) 35 level(s) of CMAQ modeled Hydroperoxy radical Model.cmaq.discover.east.conc.hono (ppmv) 35 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.east.conc.iole (ppmv) 35 level(s) of CMAQ modeled Internal olefin carbon bond Model.cmaq.discover.east.conc.isop (ppmv) 35 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.east.conc.meo2 (ppmv) 35 level(s) of CMAQ modeled Methylperoxy radical Model.cmaq.discover.east.conc.n2o5 (ppmv) 35 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.east.conc.nh3 (ppmv) 35 level(s) of CMAQ modeled ammonia Model.cmaq.discover.east.conc.no (ppmv) 35 level(s) of CMAQ modeled nitric oxide Model.cmaq.discover.east.conc.no2 (ppmv) 35 level(s) of CMAQ modeled nitrogen dioxide Model.cmaq.discover.east.conc.no3 (ppmv) 35 level(s) of CMAQ modeled nitrate Model.cmaq.discover.east.conc.ntr (ppmv) 35 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.east.conc.numacc (number/m3) 35 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.east.conc.numatkn (number/m3) 35 level(s) of CMAQ modeled Aitken Mode Number Model.cmaq.discover.east.conc.numcor (number/m3) 35 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.east.conc.o3 (ppmv) 35 level(s) of CMAQ modeled Ozone Model.cmaq.discover.east.conc.oh (ppmv) 35 level(s) of CMAQ modeled Hydroxyl radical Model.cmaq.discover.east.conc.ole (ppmv) 35 level(s) of CMAQ modeled Terminal olefin carbon bond Model.cmaq.discover.east.conc.opan (ppmv) 35 level(s) of CMAQ modeled opan Model.cmaq.discover.east.conc.opo3 (ppmv) 35 level(s) of CMAQ modeled Peroxyacyl radical from oxidation of OPEN Model.cmaq.discover.east.conc.pan (ppmv) 35 level(s) of CMAQ modeled Peroxyacyl nitrate Model.cmaq.discover.east.conc.panx (ppmv) 35 level(s) of CMAQ modeled C3 and higher peroxyacyl nitrates Model.cmaq.discover.east.conc.par (ppmv) 35 level(s) of CMAQ modeled Paraffin carbon bond Model.cmaq.discover.east.conc.pna (ppmv) 35 level(s) of CMAQ modeled Peroxynitric acid Model.cmaq.discover.east.conc.rooh (ppmv) 35 level(s) of CMAQ modeled Higher organic peroxide Model.cmaq.discover.east.conc.ror (ppmv) 35 level(s) of CMAQ modeled Secondary alkoxy radical Model.cmaq.discover.east.conc.sesq (ppmv) 35 level(s) of CMAQ modeled Sesquiterpene Model.cmaq.discover.east.conc.so2 (ppmv) 35 level(s) of CMAQ modeled Sulfur dioxide Model.cmaq.discover.east.conc.srfacc (m2/m3) 35 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.east.conc.srfatkn (m2/m3) 35 level(s) of CMAQ modeled Aitken Mode Surface Area Model.cmaq.discover.east.conc.srfcor (m2/m3) 35 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.east.conc.sulf (ppmv) 35 level(s) of CMAQ modeled Sulfuric acid gas Model.cmaq.discover.east.conc.terp (ppmv) 35 level(s) of CMAQ modeled Terpene Model.cmaq.discover.east.conc.to2 (ppmv) 35 level(s) of CMAQ modeled Tolene-hydroxyl radical adduct Model.cmaq.discover.east.conc.tol (ppmv) 35 level(s) of CMAQ modeled Toluene and other monoalkyl aromatics Model.cmaq.discover.east.conc.w_vel (m/s) 35 level(s) of CMAQ modeled Vertical component of wind velocity Model.cmaq.discover.east.conc.xo2 (ppmv) 35 level(s) of CMAQ modeled NO-to-NO2 conversion from alkylperoxy radical Model.cmaq.discover.east.conc.xo2n (ppmv) 35 level(s) of CMAQ modeled NO-to-nitrate conversion from alkylperoxy radical Model.cmaq.discover.east.conc.xyl (ppmv) 35 level(s) of CMAQ modeled Xylene and other polyalkyl aromatics Model.cmaq.discover.east.depv.vd_ald (cm/sec) 1 level(s) of CMAQ modeled ald? Model.cmaq.discover.east.depv.vd_cl2 (cm/sec) 1 level(s) of CMAQ modeled cl2? Model.cmaq.discover.east.depv.vd_co (cm/sec) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.east.depv.vd_fmcl (cm/sec) 1 level(s) of CMAQ modeled fmcl? Model.cmaq.discover.east.depv.vd_gen_ald (cm/sec) 1 level(s) of CMAQ modeled gen_ald? Model.cmaq.discover.east.depv.vd_h2o2 (cm/sec) 1 level(s) of CMAQ modeled Peroxide Model.cmaq.discover.east.depv.vd_hcho (cm/sec) 1 level(s) of CMAQ modeled hcho? Model.cmaq.discover.east.depv.vd_hcl (cm/sec) 1 level(s) of CMAQ modeled Hydrochloric Acid Model.cmaq.discover.east.depv.vd_hno3 (cm/sec) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.discover.east.depv.vd_hocl (cm/sec) 1 level(s) of CMAQ modeled hocl? Model.cmaq.discover.east.depv.vd_hono (cm/sec) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.discover.east.depv.vd_methanol (cm/sec) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.east.depv.vd_n2o5 (cm/sec) 1 level(s) of CMAQ modeled Dinitrate Pentoxide Model.cmaq.discover.east.depv.vd_nh3 (cm/sec) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.east.depv.vd_no (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Oxide Model.cmaq.discover.east.depv.vd_no2 (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.discover.east.depv.vd_no3 (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Trioxide Model.cmaq.discover.east.depv.vd_o3 (cm/sec) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.east.depv.vd_op (cm/sec) 1 level(s) of CMAQ modeled op? Model.cmaq.discover.east.depv.vd_ora (cm/sec) 1 level(s) of CMAQ modeled ora? Model.cmaq.discover.east.depv.vd_paa (cm/sec) 1 level(s) of CMAQ modeled paa? Model.cmaq.discover.east.depv.vd_pan (cm/sec) 1 level(s) of CMAQ modeled Peroxy Acetyl Nitrate Model.cmaq.discover.east.depv.vd_so2 (cm/sec) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.east.depv.vd_sulf (cm/sec) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.east.depv.vmassc (cm/sec) 1 level(s) of CMAQ modeled vmassc? Model.cmaq.discover.east.depv.vmassi (cm/sec) 1 level(s) of CMAQ modeled vmassi? Model.cmaq.discover.east.depv.vmassj (cm/sec) 1 level(s) of CMAQ modeled vmassj? Model.cmaq.discover.east.depv.vnumacc (cm/sec) 1 level(s) of CMAQ modeled vnumacc? Model.cmaq.discover.east.depv.vnumatkn (cm/sec) 1 level(s) of CMAQ modeled vnumatkn? Model.cmaq.discover.east.depv.vnumcor (cm/sec) 1 level(s) of CMAQ modeled vnumcor? Model.cmaq.discover.east.depv.vsrfacc (cm/sec) 1 level(s) of CMAQ modeled vsrfacc? Model.cmaq.discover.east.depv.vsrfatkn (cm/sec) 1 level(s) of CMAQ modeled vsrfatkn? Model.cmaq.discover.east.depv.vsrfcor (cm/sec) 1 level(s) of CMAQ modeled vsrfcor? Model.cmaq.discover.east.drydep.aacd (kg/hectare) 1 level(s) of CMAQ modeled Acetic And Higher Carboxylic Acids Model.cmaq.discover.east.drydep.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.east.drydep.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.east.drydep.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.east.drydep.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.east.drydep.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.east.drydep.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.east.drydep.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.east.drydep.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.east.drydep.acors (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.east.drydep.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.east.drydep.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.east.drydep.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.east.drydep.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Elemental Accumulation Mode Model.cmaq.discover.east.drydep.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.east.drydep.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.east.drydep.akj (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.east.drydep.ald2 (kg/hectare) 1 level(s) of CMAQ modeled Fine mode potassium Model.cmaq.discover.east.drydep.aldx (kg/hectare) 1 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.east.drydep.amgj (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.east.drydep.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Aitken Mode Model.cmaq.discover.east.drydep.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.east.drydep.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.east.drydep.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.east.drydep.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.east.drydep.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.east.drydep.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.east.drydep.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.east.drydep.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.east.drydep.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.east.drydep.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.east.drydep.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol organic carbon Accumulation Mode Model.cmaq.discover.east.drydep.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol other carbon Accumulation Mode Model.cmaq.discover.east.drydep.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Aitken Mode Model.cmaq.discover.east.drydep.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Accumulation Mode Model.cmaq.discover.east.drydep.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.east.drydep.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.east.drydep.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.east.drydep.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.east.drydep.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.east.drydep.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.east.drydep.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.east.drydep.asqtj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.east.drydep.atij (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.east.drydep.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.east.drydep.atol2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.drydep.atol3j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.drydep.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.east.drydep.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.east.drydep.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.east.drydep.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.drydep.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.drydep.cl2 (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.east.drydep.co (kg/hectare) 1 level(s) of CMAQ modeled Elemental Chlorine Model.cmaq.discover.east.drydep.crpx (kg/hectare) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.east.drydep.facd (kg/hectare) 1 level(s) of CMAQ modeled Nitro-cresol from hydroperoxide Model.cmaq.discover.east.drydep.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.east.drydep.form (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.east.drydep.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.east.drydep.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.east.drydep.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.east.drydep.hocl (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.east.drydep.hono (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.east.drydep.meoh (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.east.drydep.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.east.drydep.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.east.drydep.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.east.drydep.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.east.drydep.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.east.drydep.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.east.drydep.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.east.drydep.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.east.drydep.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.east.drydep.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.east.drydep.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.east.drydep.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.east.drydep.rooh (kg/hectare) 1 level(s) of CMAQ modeled Higher organic peroxide Model.cmaq.discover.east.drydep.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.east.drydep.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.east.emis.acrolein (g/s) 1 level(s) of CMAQ modeled acrolein Model.cmaq.discover.east.emis.ald2 (g/s) 1 level(s) of CMAQ modeled Acetaldehyde Model.cmaq.discover.east.emis.ald2_primary (g/s) 1 level(s) of CMAQ modeled ald2_primary Model.cmaq.discover.east.emis.aldx (g/s) 1 level(s) of CMAQ modeled Propionaldehyde and higher aldehydes Model.cmaq.discover.east.emis.benzene (g/s) 1 level(s) of CMAQ modeled benzene Model.cmaq.discover.east.emis.butadiene13 (g/s) 1 level(s) of CMAQ modeled butadiene13 Model.cmaq.discover.east.emis.ch4 (g/s) 1 level(s) of CMAQ modeled methane Model.cmaq.discover.east.emis.cl2 (g/s) 1 level(s) of CMAQ modeled chlorine Model.cmaq.discover.east.emis.co (g/s) 1 level(s) of CMAQ modeled carbon monoxide Model.cmaq.discover.east.emis.eth (g/s) 1 level(s) of CMAQ modeled Ethene Model.cmaq.discover.east.emis.etha (g/s) 1 level(s) of CMAQ modeled Ethane Model.cmaq.discover.east.emis.etoh (g/s) 1 level(s) of CMAQ modeled Ethanol Model.cmaq.discover.east.emis.form (g/s) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.east.emis.form_primary (g/s) 1 level(s) of CMAQ modeled Formaldehyde primary Model.cmaq.discover.east.emis.hcl (g/s) 1 level(s) of CMAQ modeled Hydrogen chloride Model.cmaq.discover.east.emis.hono (g/s) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.east.emis.iole (g/s) 1 level(s) of CMAQ modeled Internal olefin carbon bond Model.cmaq.discover.east.emis.isop (g/s) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.east.emis.meoh (g/s) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.east.emis.naphthalene (g/s) 1 level(s) of CMAQ modeled naphthalene Model.cmaq.discover.east.emis.nh3 (moles/s) 1 level(s) of CMAQ modeled ammonia Model.cmaq.discover.east.emis.nh3_fert (moles/s) 1 level(s) of CMAQ modeled ammonia from fertilizers Model.cmaq.discover.east.emis.no (moles/s) 1 level(s) of CMAQ modeled nitrogen monoxide Model.cmaq.discover.east.emis.no2 (moles/s) 1 level(s) of CMAQ modeled nitrogen dioxide Model.cmaq.discover.east.emis.nvol (moles/s) 1 level(s) of CMAQ modeled Nonvolatile Carbon Model.cmaq.discover.east.emis.ole (moles/s) 1 level(s) of CMAQ modeled Terminal olefin carbon bond Model.cmaq.discover.east.emis.pal (moles/s) 1 level(s) of CMAQ modeled Fine mode aluminum Model.cmaq.discover.east.emis.par (moles/s) 1 level(s) of CMAQ modeled Paraffin carbon bond Model.cmaq.discover.east.emis.pca (moles/s) 1 level(s) of CMAQ modeled fine mode calcium Model.cmaq.discover.east.emis.pcl (moles/s) 1 level(s) of CMAQ modeled fine mode chlorine Model.cmaq.discover.east.emis.pec (moles/s) 1 level(s) of CMAQ modeled fine mode elemental carbon Model.cmaq.discover.east.emis.pfe (moles/s) 1 level(s) of CMAQ modeled fine mode iron Model.cmaq.discover.east.emis.ph2o (moles/s) 1 level(s) of CMAQ modeled Fine mode particulate water Model.cmaq.discover.east.emis.pk (moles/s) 1 level(s) of CMAQ modeled Fine mode potassium Model.cmaq.discover.east.emis.pmc (moles/s) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.east.emis.pmfine (moles/s) 1 level(s) of CMAQ modeled Fine mode primary particulate matter Model.cmaq.discover.east.emis.pmg (moles/s) 1 level(s) of CMAQ modeled Fine mode magnesium Model.cmaq.discover.east.emis.pmn (moles/s) 1 level(s) of CMAQ modeled Fine mode manganese Model.cmaq.discover.east.emis.pmothr (moles/s) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.east.emis.pna (moles/s) 1 level(s) of CMAQ modeled Fine mode sodium Model.cmaq.discover.east.emis.pncom (moles/s) 1 level(s) of CMAQ modeled Fine mode primary non-carbon organic matter Model.cmaq.discover.east.emis.pnh4 (moles/s) 1 level(s) of CMAQ modeled Fine particulate ammonium Model.cmaq.discover.east.emis.pno3 (moles/s) 1 level(s) of CMAQ modeled Fine mode nitrate Model.cmaq.discover.east.emis.poc (moles/s) 1 level(s) of CMAQ modeled Fine mode primary organic carbon Model.cmaq.discover.east.emis.psi (moles/s) 1 level(s) of CMAQ modeled Fine mode silicon Model.cmaq.discover.east.emis.pso4 (moles/s) 1 level(s) of CMAQ modeled Fine mode sulfate Model.cmaq.discover.east.emis.pti (moles/s) 1 level(s) of CMAQ modeled Fine mode titanium Model.cmaq.discover.east.emis.so2 (moles/s) 1 level(s) of CMAQ modeled Fine mode sulfate Model.cmaq.discover.east.emis.sulf (moles/s) 1 level(s) of CMAQ modeled sulfate Model.cmaq.discover.east.emis.terp (moles/s) 1 level(s) of CMAQ modeled Terpene Model.cmaq.discover.east.emis.tol (moles/s) 1 level(s) of CMAQ modeled Toluene And Other Monoalkyl Aromatics Model.cmaq.discover.east.emis.unk (moles/s) 1 level(s) of CMAQ modeled Unknown Model.cmaq.discover.east.emis.unr (moles/s) 1 level(s) of CMAQ modeled Unreactive Model.cmaq.discover.east.emis.voc_inv (moles/s) 1 level(s) of CMAQ modeled volatile organic componds inv Model.cmaq.discover.east.emis.xyl (moles/s) 1 level(s) of CMAQ modeled Xylene And Other Polyalkyl Aromatics Model.cmaq.discover.east.metcro2d.rainc (mm) 1 level(s) of CMAQ modeled Accumulated total cumulus precipitation Model.cmaq.discover.east.metcro2d.rainnc (mm) 1 level(s) of CMAQ modeled Accumulated total grid scale precipitation Model.cmaq.discover.east.metcro3d.dens (Pa) 35 level(s) of CMAQ modeled Base state pressure Model.cmaq.discover.east.noy.noy (ppmV) 35 level(s) of CMAQ modeled Total reactive nitrogen Model.cmaq.discover.east.pm25.pm25 (ug/m3) 35 level(s) of CMAQ modeled particulate matter (aerosols) not more than 2.5 microns in diameter Model.cmaq.discover.east.soilinp.ptype (integer) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.east.soilinp.pulsedate (yyyyddd) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.east.soilinp.pulsetime (hhmmss) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.east.soilinp.rainfall01 (cm) 1 level(s) of CMAQ modeled Aerosol Water Vapor Accumulation Mode Model.cmaq.discover.east.soilinp.rainfall02 (cm) 1 level(s) of CMAQ modeled Aerosol Water Vapor Coarse Mode Model.cmaq.discover.east.soilinp.rainfall03 (cm) 1 level(s) of CMAQ modeled Aerosol Potassium Accumulation Mode Model.cmaq.discover.east.soilinp.rainfall04 (cm) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.east.soilinp.rainfall05 (cm) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.east.soilinp.rainfall06 (cm) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.east.soilinp.rainfall07 (cm) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.east.soilinp.rainfall08 (cm) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.east.soilinp.rainfall09 (cm) 1 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.east.soilinp.rainfall10 (cm) 1 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.east.soilinp.rainfall11 (cm) 1 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.east.soilinp.rainfall12 (cm) 1 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.east.soilinp.rainfall13 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall14 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall15 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall16 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall17 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall18 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall19 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall20 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall21 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall22 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall23 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.soilinp.rainfall24 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.east.ssemis.acaj (g/s) 1 level(s) of CMAQ modeled no emission pulse type Model.cmaq.discover.east.ssemis.aclj (g/s) 1 level(s) of CMAQ modeled cmaq starting date for no emission pulse Model.cmaq.discover.east.ssemis.aclk (g/s) 1 level(s) of CMAQ modeled cmaq starting time for no emission pulse Model.cmaq.discover.east.ssemis.ah2oj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 010000 Model.cmaq.discover.east.ssemis.ah2ok (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 020000 Model.cmaq.discover.east.ssemis.akj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 030000 Model.cmaq.discover.east.ssemis.amgj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 040000 Model.cmaq.discover.east.ssemis.anaj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 050000 Model.cmaq.discover.east.ssemis.aseacat (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 060000 Model.cmaq.discover.east.ssemis.aso4j (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 070000 Model.cmaq.discover.east.ssemis.aso4k (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 080000 Model.cmaq.discover.east.ssemis.numacc (number/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 090000 Model.cmaq.discover.east.ssemis.numcor (number/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 100000 Model.cmaq.discover.east.ssemis.srfacc (m2/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 110000 Model.cmaq.discover.east.ssemis.srfcor (m2/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 120000 Model.cmaq.discover.east.wetdep1.aacd (kg/hectare) 1 level(s) of CMAQ modeled Higher carboxylic acid Model.cmaq.discover.east.wetdep1.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol aluminum Accumulation Mode Model.cmaq.discover.east.wetdep1.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.east.wetdep1.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.east.wetdep1.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.east.wetdep1.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.east.wetdep1.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.east.wetdep1.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.east.wetdep1.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.east.wetdep1.acors (kg/hectare) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.east.wetdep1.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.east.wetdep1.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.east.wetdep1.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Accumulation Mode Model.cmaq.discover.east.wetdep1.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.east.wetdep1.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.east.wetdep1.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.east.wetdep1.akj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol potassium Accumulation Mode Model.cmaq.discover.east.wetdep1.ald2 (kg/hectare) 1 level(s) of CMAQ modeled High Molecular Weight Aldehydes Model.cmaq.discover.east.wetdep1.aldx (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.east.wetdep1.amgj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.east.wetdep1.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.east.wetdep1.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.east.wetdep1.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.east.wetdep1.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.east.wetdep1.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.east.wetdep1.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.east.wetdep1.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.east.wetdep1.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.east.wetdep1.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.east.wetdep1.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.east.wetdep1.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.east.wetdep1.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.east.wetdep1.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.east.wetdep1.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.east.wetdep1.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Aitken Mode Model.cmaq.discover.east.wetdep1.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.east.wetdep1.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.east.wetdep1.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Silicon Accumulation Mode Model.cmaq.discover.east.wetdep1.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.east.wetdep1.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.east.wetdep1.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.east.wetdep1.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol soil-derived Model.cmaq.discover.east.wetdep1.asqtj (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.east.wetdep1.atij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.east.wetdep1.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.wetdep1.atol2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.wetdep1.atol3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.east.wetdep1.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.east.wetdep1.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.east.wetdep1.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.wetdep1.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.wetdep1.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.east.wetdep1.cl2 (kg/hectare) 1 level(s) of CMAQ modeled Chlorine Model.cmaq.discover.east.wetdep1.co (kg/hectare) 1 level(s) of CMAQ modeled Carbon monoxide Model.cmaq.discover.east.wetdep1.facd (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.east.wetdep1.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.east.wetdep1.form (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.east.wetdep1.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.east.wetdep1.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.east.wetdep1.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.east.wetdep1.hocl (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.east.wetdep1.hono (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.east.wetdep1.hplus (kg/hectare) 1 level(s) of CMAQ modeled Hydronium ion Model.cmaq.discover.east.wetdep1.meoh (kg/hectare) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.east.wetdep1.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.east.wetdep1.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.east.wetdep1.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.east.wetdep1.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.east.wetdep1.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.east.wetdep1.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.east.wetdep1.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.east.wetdep1.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.east.wetdep1.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.east.wetdep1.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.east.wetdep1.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.east.wetdep1.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.east.wetdep1.pna (kg/hectare) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.east.wetdep1.rooh (kg/hectare) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.east.wetdep1.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.east.wetdep1.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.east.wetdep2.aacd (kg/hectare) 1 level(s) of CMAQ modeled Higher carboxylic acid Model.cmaq.discover.east.wetdep2.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol aluminum Accumulation Mode Model.cmaq.discover.east.wetdep2.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.east.wetdep2.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.east.wetdep2.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.east.wetdep2.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.east.wetdep2.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.east.wetdep2.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.east.wetdep2.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.east.wetdep2.acors (kg/hectare) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.east.wetdep2.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.east.wetdep2.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.east.wetdep2.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Accumulation Mode Model.cmaq.discover.east.wetdep2.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.east.wetdep2.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.east.wetdep2.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.east.wetdep2.akj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol potassium Accumulation Mode Model.cmaq.discover.east.wetdep2.ald2 (kg/hectare) 1 level(s) of CMAQ modeled High Molecular Weight Aldehydes Model.cmaq.discover.east.wetdep2.aldx (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.east.wetdep2.amgj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.east.wetdep2.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.east.wetdep2.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.east.wetdep2.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.east.wetdep2.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.east.wetdep2.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.east.wetdep2.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.east.wetdep2.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.east.wetdep2.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.east.wetdep2.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.east.wetdep2.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.east.wetdep2.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.east.wetdep2.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.east.wetdep2.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.east.wetdep2.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.east.wetdep2.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Aitken Mode Model.cmaq.discover.east.wetdep2.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.east.wetdep2.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.east.wetdep2.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Silicon Accumulation Mode Model.cmaq.discover.east.wetdep2.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.east.wetdep2.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.east.wetdep2.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.east.wetdep2.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol soil-derived Model.cmaq.discover.east.wetdep2.asqtj (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.east.wetdep2.atij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.east.wetdep2.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.wetdep2.atol2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.east.wetdep2.atol3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.east.wetdep2.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.east.wetdep2.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.east.wetdep2.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.wetdep2.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.east.wetdep2.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.east.wetdep2.cl2 (kg/hectare) 1 level(s) of CMAQ modeled chlorine Model.cmaq.discover.east.wetdep2.cld_trans (-) 1 level(s) of CMAQ modeled total cloud transmissivity Model.cmaq.discover.east.wetdep2.cloud_bottom (layer-number) 1 level(s) of CMAQ modeled layer containing bottom of cloud, or missing = -9999.9 Model.cmaq.discover.east.wetdep2.co (kg/hectare) 1 level(s) of CMAQ modeled Carbon monoxide Model.cmaq.discover.east.wetdep2.facd (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.east.wetdep2.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.east.wetdep2.form (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.east.wetdep2.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.east.wetdep2.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.east.wetdep2.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.east.wetdep2.hocl (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.east.wetdep2.hono (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.east.wetdep2.hplus (kg/hectare) 1 level(s) of CMAQ modeled Hydronium ion Model.cmaq.discover.east.wetdep2.meoh (kg/hectare) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.east.wetdep2.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.east.wetdep2.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.east.wetdep2.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.east.wetdep2.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.east.wetdep2.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.east.wetdep2.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.east.wetdep2.np_cldfrac (-) 1 level(s) of CMAQ modeled Non-precipitating cloud fraction Model.cmaq.discover.east.wetdep2.np_cloudtop (layer-number) 1 level(s) of CMAQ modeled Model layer containing top of non-precipitating cloud Model.cmaq.discover.east.wetdep2.np_trans (-) 1 level(s) of CMAQ modeled Non-precipitating cloud transmissivity Model.cmaq.discover.east.wetdep2.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.east.wetdep2.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.east.wetdep2.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.east.wetdep2.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.east.wetdep2.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.east.wetdep2.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.east.wetdep2.plcl (pa ) 1 level(s) of CMAQ modeled Pressure at lifting condensation level Model.cmaq.discover.east.wetdep2.pna (kg/hectare) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.east.wetdep2.pr_cldfrac (-) 1 level(s) of CMAQ modeled Precipitating cloud fraction Model.cmaq.discover.east.wetdep2.pr_cloudtop (layer-number) 1 level(s) of CMAQ modeled Precipitating cloud top layer number Model.cmaq.discover.east.wetdep2.pr_trans (-) 1 level(s) of CMAQ modeled Precipitating cloud transmissivity Model.cmaq.discover.east.wetdep2.rain_flag (1 or 0) 1 level(s) of CMAQ modeled Rain flag 1 is raining 0 is not raining Model.cmaq.discover.east.wetdep2.res_trans (-) 1 level(s) of CMAQ modeled Resolved cloud transmissivity Model.cmaq.discover.east.wetdep2.rooh (kg/hectare) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.east.wetdep2.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.east.wetdep2.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.md.aconc.aacd (ppmV) 1 level(s) of CMAQ modeled Acetic And Higher Carboxylic Acids Model.cmaq.discover.md.aconc.aalj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.md.aconc.aalkj (ug/m3) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.md.aconc.abnz1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.md.aconc.abnz2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.md.aconc.abnz3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.md.aconc.acaj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.md.aconc.acli (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.md.aconc.aclj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.md.aconc.aclk (ug/m3) 1 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.md.aconc.acors (ug/m3) 1 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.md.aconc.aeci (ug/m3) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.md.aconc.aecj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.md.aconc.afej (ug/m3) 1 level(s) of CMAQ modeled Aerosol Iron Elemental Accumulation Mode Model.cmaq.discover.md.aconc.ah2oi (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Aitken Mode Model.cmaq.discover.md.aconc.ah2oj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Accumulation Mode Model.cmaq.discover.md.aconc.ah2ok (ug/m3) 1 level(s) of CMAQ modeled Aerosol Water Coarse Mode Model.cmaq.discover.md.aconc.aiso1j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.md.aconc.aiso2j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.md.aconc.aiso3j (ug/m3) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.md.aconc.akj (ug/m3) 1 level(s) of CMAQ modeled Counter species for computing SOA from ISOP Model.cmaq.discover.md.aconc.ald2 (ppmV) 1 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.md.aconc.aldx (ppmV) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.md.aconc.amgj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Magnesium Aitken Mode Model.cmaq.discover.md.aconc.amnj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.md.aconc.anai (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sodium Aitken Mode Model.cmaq.discover.md.aconc.anaj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.md.aconc.anh4i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.md.aconc.anh4j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.md.aconc.anh4k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.md.aconc.ano3i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.md.aconc.ano3j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.md.aconc.ano3k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.md.aconc.aolgaj (ug/m3) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.md.aconc.aolgbj (ug/m3) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.md.aconc.aorgcj (ug/m3) 1 level(s) of CMAQ modeled SOA from in-cloud oxidation of dialdehydes Model.cmaq.discover.md.aconc.aothri (ug/m3) 1 level(s) of CMAQ modeled Aerosol Other Aitken Mode Model.cmaq.discover.md.aconc.aothrj (ug/m3) 1 level(s) of CMAQ modeled Aerosol Other Accumulation Mode Model.cmaq.discover.md.aconc.apncomi (ug/m3) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Aitken Mode Model.cmaq.discover.md.aconc.apncomj (ug/m3) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Accumulation Mode Model.cmaq.discover.md.aconc.apoci (ug/m3) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.md.aconc.apocj (ug/m3) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.md.aconc.aseacat (ug/m3) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.md.aconc.asij (ug/m3) 1 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.md.aconc.aso4i (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.md.aconc.aso4j (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.md.aconc.aso4k (ug/m3) 1 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.md.aconc.asoil (ug/m3) 1 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.md.aconc.asqtj (ug/m3) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.md.aconc.atij (ug/m3) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.md.aconc.atol1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.aconc.atol2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.aconc.atol3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.md.aconc.atrp1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.md.aconc.atrp2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.md.aconc.axyl1j (ug/m3) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.aconc.axyl2j (ug/m3) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.aconc.axyl3j (ug/m3) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.md.aconc.benzene (ppmV) 1 level(s) of CMAQ modeled Benzene Model.cmaq.discover.md.aconc.benzro2 (ppmV) 1 level(s) of CMAQ modeled First generation SOA intermediate from benzene oxidation Model.cmaq.discover.md.aconc.bnzhrxn (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from BENZENE under low NOx conditions Model.cmaq.discover.md.aconc.bnznrxn (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from BENZENE under high NOx conditions Model.cmaq.discover.md.aconc.c2o3 (ppmV) 1 level(s) of CMAQ modeled Peroxy Radical from Methyl-catechol Model.cmaq.discover.md.aconc.cao2 (ppmV) 1 level(s) of CMAQ modeled Acetyl Peroxy Radical Model.cmaq.discover.md.aconc.cat1 (ppmV) 1 level(s) of CMAQ modeled Methyl-catechol Model.cmaq.discover.md.aconc.cl (ppmV) 1 level(s) of CMAQ modeled Chlorides Model.cmaq.discover.md.aconc.cl2 (ppmV) 1 level(s) of CMAQ modeled Elemental Chlorine Model.cmaq.discover.md.aconc.clo (ppmV) 1 level(s) of CMAQ modeled Hypoclorite Model.cmaq.discover.md.aconc.co (ppmV) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.md.aconc.cres (ppmV) 1 level(s) of CMAQ modeled Cresol And Higher Molecular Weight Phenois Model.cmaq.discover.md.aconc.crn2 (ppmV) 1 level(s) of CMAQ modeled Chromium nitrate Model.cmaq.discover.md.aconc.crno (ppmV) 1 level(s) of CMAQ modeled Alkoxy Radical Model.cmaq.discover.md.aconc.cro (ppmV) 1 level(s) of CMAQ modeled Methylphenoxy Radical Model.cmaq.discover.md.aconc.cron (ppmV) 1 level(s) of CMAQ modeled nitrocresol Model.cmaq.discover.md.aconc.crpx (ppmV) 1 level(s) of CMAQ modeled C3+ Peroxyacetyl Radicals Model.cmaq.discover.md.aconc.cxo3 (ppmV) 1 level(s) of CMAQ modeled Nitro-cresol from hydroperoxide Model.cmaq.discover.md.aconc.eth (ppmV) 1 level(s) of CMAQ modeled Higher acylperoxy radical Model.cmaq.discover.md.aconc.etha (ppmV) 1 level(s) of CMAQ modeled Ethene Model.cmaq.discover.md.aconc.etoh (ppmV) 1 level(s) of CMAQ modeled Ethane Model.cmaq.discover.md.aconc.facd (ppmV) 1 level(s) of CMAQ modeled Ethanol Model.cmaq.discover.md.aconc.fmcl (ppmV) 1 level(s) of CMAQ modeled Formic Acid Model.cmaq.discover.md.aconc.form (ppmV) 1 level(s) of CMAQ modeled Formyl Chloride Model.cmaq.discover.md.aconc.h2o2 (ppmV) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.md.aconc.hcl (ppmV) 1 level(s) of CMAQ modeled Peroxide Model.cmaq.discover.md.aconc.hco3 (ppmV) 1 level(s) of CMAQ modeled Hydrocloric Acid Model.cmaq.discover.md.aconc.hno3 (ppmV) 1 level(s) of CMAQ modeled Radical formed when formaldehyde reacts with HO2 Model.cmaq.discover.md.aconc.ho2 (ppmV) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.discover.md.aconc.hocl (ppmV) 1 level(s) of CMAQ modeled Hydroperoxy Radical Model.cmaq.discover.md.aconc.hono (ppmV) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.md.aconc.iole (ppmV) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.discover.md.aconc.isop (ppmV) 1 level(s) of CMAQ modeled Internal Olefins Model.cmaq.discover.md.aconc.isoprxn (ppmV) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.md.aconc.ispd (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from ISOP Model.cmaq.discover.md.aconc.meo2 (ppmV) 1 level(s) of CMAQ modeled Isoprene Product Model.cmaq.discover.md.aconc.meoh (ppmV) 1 level(s) of CMAQ modeled Methyl Peroxy Radical Model.cmaq.discover.md.aconc.mepx (ppmV) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.md.aconc.mgly (ppmV) 1 level(s) of CMAQ modeled Methyl Hydroperoxide Model.cmaq.discover.md.aconc.n2o5 (ppmV) 1 level(s) of CMAQ modeled Methylglyoxal And Other Aeromatic Products Model.cmaq.discover.md.aconc.nh3 (ppmV) 1 level(s) of CMAQ modeled Dinitrate Pentoxide Model.cmaq.discover.md.aconc.no (ppmV) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.md.aconc.no2 (ppmV) 1 level(s) of CMAQ modeled Nitrogen Oxide Model.cmaq.discover.md.aconc.no3 (ppmV) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.discover.md.aconc.ntr (ppmV) 1 level(s) of CMAQ modeled Nitrogen Trioxide Model.cmaq.discover.md.aconc.numacc (number/m3) 1 level(s) of CMAQ modeled Nitrate Model.cmaq.discover.md.aconc.numatkn (number/m3) 1 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.md.aconc.numcor (number/m3) 1 level(s) of CMAQ modeled Aitken Mode Number Model.cmaq.discover.md.aconc.o (ppmV) 1 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.md.aconc.o1d (ppmV) 1 level(s) of CMAQ modeled Oxygen Atom In The O3(P) Electronic State Model.cmaq.discover.md.aconc.o3 (ppmV) 1 level(s) of CMAQ modeled Oxygen Atom In The O1(D) Electronic State Model.cmaq.discover.md.aconc.oh (ppmV) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.md.aconc.ole (ppmV) 1 level(s) of CMAQ modeled Hydroxyl Radical Model.cmaq.discover.md.aconc.opan (ppmV) 1 level(s) of CMAQ modeled Terminal Olefin Carbon Bond Model.cmaq.discover.md.aconc.open (ppmV) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.md.aconc.opo3 (ppmV) 1 level(s) of CMAQ modeled Aromatic Ring Opening Product Model.cmaq.discover.md.aconc.pacd (ppmV) 1 level(s) of CMAQ modeled Peroxy radical from Aromatic ring opening product Model.cmaq.discover.md.aconc.pan (ppmV) 1 level(s) of CMAQ modeled Peroxyacetic And Higher Peroxycarboxylic Acids Model.cmaq.discover.md.aconc.panx (ppmV) 1 level(s) of CMAQ modeled Peroxy Acetyl Nitrate Model.cmaq.discover.md.aconc.par (ppmV) 1 level(s) of CMAQ modeled C3+ PANs Model.cmaq.discover.md.aconc.pna (ppmV) 1 level(s) of CMAQ modeled Paraffin Carbon Bond Model.cmaq.discover.md.aconc.rooh (ppmV) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.md.aconc.ror (ppmV) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.md.aconc.sesq (ppmV) 1 level(s) of CMAQ modeled Secondary Alkoxy Radical Model.cmaq.discover.md.aconc.sesqrxn (ppmV) 1 level(s) of CMAQ modeled Sesquiterpene Model.cmaq.discover.md.aconc.so2 (ppmV) 1 level(s) of CMAQ modeled Counter species for computing SOA from SESQ Model.cmaq.discover.md.aconc.srfacc (m2/m3) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.md.aconc.srfatkn (m2/m3) 1 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.md.aconc.srfcor (m2/m3) 1 level(s) of CMAQ modeled Aitken Mode Surface Area Model.cmaq.discover.md.aconc.sulf (ppmV) 1 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.md.aconc.sulrxn (ppmV) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.md.aconc.sv_alk (ppmV) 1 level(s) of CMAQ modeled Counter species for computing aerosols from SULF Model.cmaq.discover.md.aconc.sv_bnz1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile alkanes Model.cmaq.discover.md.aconc.sv_bnz2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from benzene1 Model.cmaq.discover.md.aconc.sv_iso1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from benzene2 Model.cmaq.discover.md.aconc.sv_iso2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from isoprene1 Model.cmaq.discover.md.aconc.sv_sqt (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from isoprene2 Model.cmaq.discover.md.aconc.sv_tol1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from sesquiterpene Model.cmaq.discover.md.aconc.sv_tol2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Toluene1 Model.cmaq.discover.md.aconc.sv_trp1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Toluene2 Model.cmaq.discover.md.aconc.sv_trp2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Terpene1 Model.cmaq.discover.md.aconc.sv_xyl1 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Terpene2 Model.cmaq.discover.md.aconc.sv_xyl2 (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Xylene1 Model.cmaq.discover.md.aconc.terp (ppmV) 1 level(s) of CMAQ modeled Semi-volatile SOA from Xylene2 Model.cmaq.discover.md.aconc.to2 (ppmV) 1 level(s) of CMAQ modeled Terpene Model.cmaq.discover.md.aconc.tol (ppmV) 1 level(s) of CMAQ modeled Toluene-Hydroxyl Radical Adduct Model.cmaq.discover.md.aconc.tolhrxn (ppmV) 1 level(s) of CMAQ modeled Toluene And Other Monoalkyl Aromatics Model.cmaq.discover.md.aconc.tolnrxn (ppmV) 1 level(s) of CMAQ modeled tolhrxn? Model.cmaq.discover.md.aconc.tolro2 (ppmV) 1 level(s) of CMAQ modeled tolnrxn? Model.cmaq.discover.md.aconc.trprxn (ppmV) 1 level(s) of CMAQ modeled tolro2? Model.cmaq.discover.md.aconc.xo2 (ppmV) 1 level(s) of CMAQ modeled trprxn? Model.cmaq.discover.md.aconc.xo2n (ppmV) 1 level(s) of CMAQ modeled Peroxy Radical Operator Model.cmaq.discover.md.aconc.xyl (ppmV) 1 level(s) of CMAQ modeled NO To Organic Nitrate Conversion From Alkylperoxy Radical Model.cmaq.discover.md.aconc.xylhrxn (ppmV) 1 level(s) of CMAQ modeled Xylene And Other Polyalkyl Aromatics Model.cmaq.discover.md.aconc.xylnrxn (ppmV) 1 level(s) of CMAQ modeled xylhrxn? Model.cmaq.discover.md.aconc.xylro2 (ppmV) 1 level(s) of CMAQ modeled xylnrxn? Model.cmaq.discover.md.aerodiam.dgacc_dry (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Accumulation Mode Without Water Model.cmaq.discover.md.aerodiam.dgacc_wet (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Accumulation Mode With Water Model.cmaq.discover.md.aerodiam.dgatkn_dry (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Aitken Mode Without Water Model.cmaq.discover.md.aerodiam.dgatkn_wet (ug/m3) 35 level(s) of CMAQ modeled Geometric Diameter Of Aitken Mode With Water Model.cmaq.discover.md.aerodiam.dgcor_dry (ug/m3) 35 level(s) of CMAQ modeled Coarse mode mean diameter without water Model.cmaq.discover.md.aerodiam.dgcor_wet (ug/m3) 35 level(s) of CMAQ modeled Coarse mode mean diameter with water Model.cmaq.discover.md.aerodiam.gamma_n2o5 (-) 35 level(s) of CMAQ modeled N2O5 Heterogeneous reaction probability Model.cmaq.discover.md.aerodiam.m2acc_wet (m2/m3) 35 level(s) of CMAQ modeled Accumulation mode 2nd moment (wet) Model.cmaq.discover.md.aerodiam.m2atkn_wet (m2/m3) 35 level(s) of CMAQ modeled Aitken mode 2nd moment (wet) Model.cmaq.discover.md.aerodiam.m2cor_wet (m3/m3) 35 level(s) of CMAQ modeled Coarse mode 2nd moment (wet) Model.cmaq.discover.md.aerodiam.m3acc_dry (m3/m3) 35 level(s) of CMAQ modeled Accumulation mode 3rd moment (dry) Model.cmaq.discover.md.aerodiam.m3acc_wet (m3/m3) 35 level(s) of CMAQ modeled Accumulation mode 3rd moment (wet) Model.cmaq.discover.md.aerodiam.m3atkn_dry (m3/m3) 35 level(s) of CMAQ modeled Aitken mode 3rd moment (dry) Model.cmaq.discover.md.aerodiam.m3atkn_wet (m3/m3) 35 level(s) of CMAQ modeled Aitken mode 3rd moment (wet) Model.cmaq.discover.md.aerodiam.m3cor_dry (m3/m3) 35 level(s) of CMAQ modeled Coarse mode 3rd moment (dry) Model.cmaq.discover.md.aerodiam.m3cor_wet (-) 35 level(s) of CMAQ modeled Coarse mode 3rd moment (wet) Model.cmaq.discover.md.aerodiam.pm25ac (-) 35 level(s) of CMAQ modeled Fine fraction of accumulation mode Model.cmaq.discover.md.aerodiam.pm25at (-) 35 level(s) of CMAQ modeled Fine fraction of Aitken mode Model.cmaq.discover.md.aerodiam.pm25co (-) 35 level(s) of CMAQ modeled Fine fraction of coarse mode Model.cmaq.discover.md.aerodiam.rh (-) 35 level(s) of CMAQ modeled Relative humiditity Model.cmaq.discover.md.aerodiam.stdevacc (-) 35 level(s) of CMAQ modeled Accumulation mode standard deviation (dry and wet) Model.cmaq.discover.md.aerodiam.stdevatkn (-) 35 level(s) of CMAQ modeled Aitken mode standard deviation (dry and wet) Model.cmaq.discover.md.aerodiam.stdevcor (-) 35 level(s) of CMAQ modeled Coarse mode standard deviation (dry and wet) Model.cmaq.discover.md.aerovis.dcv_mie (deciview) 1 level(s) of CMAQ modeled hourly visual range Model.cmaq.discover.md.aerovis.dcv_recon (deciview) 1 level(s) of CMAQ modeled hourly visual range Model.cmaq.discover.md.aerovis.ext_mie (1/km) 1 level(s) of CMAQ modeled hourly extinction coefficient Model.cmaq.discover.md.aerovis.ext_recon (1/km) 1 level(s) of CMAQ modeled hourly extinction coefficient Model.cmaq.discover.md.conc.aalj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.md.conc.aalkj (ug/m3) 35 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.md.conc.abnz1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.md.conc.abnz2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.md.conc.abnz3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.md.conc.acaj (ug/m3) 35 level(s) of CMAQ modeled Aerosol CA? Accumulation Mode Model.cmaq.discover.md.conc.acli (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.md.conc.aclj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.md.conc.aclk (ug/m3) 35 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.md.conc.acors (ug/m3) 35 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.md.conc.aeci (ug/m3) 35 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.md.conc.aecj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.md.conc.afej (ug/m3) 35 level(s) of CMAQ modeled Aerosol ? Elemental Accumulation Mode Model.cmaq.discover.md.conc.ah2oi (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Aitken Mode Model.cmaq.discover.md.conc.ah2oj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Accumulation Mode Model.cmaq.discover.md.conc.ah2ok (ug/m3) 35 level(s) of CMAQ modeled Aerosol Water Coarse Mode Model.cmaq.discover.md.conc.aiso1j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.md.conc.aiso2j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.md.conc.aiso3j (ug/m3) 35 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.md.conc.akj (ug/m3) 35 level(s) of CMAQ modeled Aerosol ? Accumulation Mode Model.cmaq.discover.md.conc.ald2 (ppmv) 35 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.md.conc.aldx (ppmv) 35 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.md.conc.amgj (ug/m3) 35 level(s) of CMAQ modeled Aerosol MG? Aitken Mode Model.cmaq.discover.md.conc.amnj (ug/m3) 35 level(s) of CMAQ modeled Aerosol MN? Accumulation Mode Model.cmaq.discover.md.conc.anai (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sodium Aitken Mode Model.cmaq.discover.md.conc.anaj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.md.conc.anh4i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.md.conc.anh4j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.md.conc.anh4k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.md.conc.ano3i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.md.conc.ano3j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.md.conc.ano3k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.md.conc.aolgaj (ug/m3) 35 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.md.conc.aolgbj (ug/m3) 35 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.md.conc.aorgcj (ug/m3) 35 level(s) of CMAQ modeled SOA from in-cloud oxidation of dialdehydes Model.cmaq.discover.md.conc.aothri (ug/m3) 35 level(s) of CMAQ modeled Aerosol Other Aitken Mode Model.cmaq.discover.md.conc.aothrj (ug/m3) 35 level(s) of CMAQ modeled Aerosol Other Accumulation Mode Model.cmaq.discover.md.conc.apncomi (ug/m3) 35 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.md.conc.apncomj (ug/m3) 35 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.md.conc.apoci (ug/m3) 35 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.md.conc.apocj (ug/m3) 35 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.md.conc.aseacat (ug/m3) 35 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.md.conc.asij (ug/m3) 35 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.md.conc.aso4i (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.md.conc.aso4j (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.md.conc.aso4k (ug/m3) 35 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.md.conc.asoil (ug/m3) 35 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.md.conc.asqtj (ug/m3) 35 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.md.conc.atij (ug/m3) 35 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.md.conc.atol1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.conc.atol2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.conc.atol3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.md.conc.atrp1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.md.conc.atrp2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.md.conc.axyl1j (ug/m3) 35 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.conc.axyl2j (ug/m3) 35 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.conc.axyl3j (ug/m3) 35 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.md.conc.benzene (ppmv) 35 level(s) of CMAQ modeled benzene Model.cmaq.discover.md.conc.c2o3 (ppmv) 35 level(s) of CMAQ modeled Peroxy Radical from Methyl-catechol Model.cmaq.discover.md.conc.cao2 (ppmv) 35 level(s) of CMAQ modeled Acetyl Peroxy Radical Model.cmaq.discover.md.conc.co (ppmv) 35 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.md.conc.crn2 (ppmv) 35 level(s) of CMAQ modeled Chromium nitrate Model.cmaq.discover.md.conc.crno (ppmv) 35 level(s) of CMAQ modeled Alkoxy Radical Model.cmaq.discover.md.conc.cro (ppmv) 35 level(s) of CMAQ modeled Methylphenoxy Radical Model.cmaq.discover.md.conc.cron (ppmv) 35 level(s) of CMAQ modeled nitrocresol Model.cmaq.discover.md.conc.crpx (ppmv) 35 level(s) of CMAQ modeled C3+ Peroxyacetyl Radicals Model.cmaq.discover.md.conc.cxo3 (ppmv) 35 level(s) of CMAQ modeled CRPX? Model.cmaq.discover.md.conc.eth (ppmv) 35 level(s) of CMAQ modeled Higher acylperoxy radical Model.cmaq.discover.md.conc.etha (ppmv) 35 level(s) of CMAQ modeled Ethene Model.cmaq.discover.md.conc.etoh (ppmv) 35 level(s) of CMAQ modeled Ethane Model.cmaq.discover.md.conc.form (ppmv) 35 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.md.conc.h2o2 (ppmv) 35 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.md.conc.hco3 (ppmv) 35 level(s) of CMAQ modeled hco3 Model.cmaq.discover.md.conc.hno3 (ppmv) 35 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.md.conc.ho2 (ppmv) 35 level(s) of CMAQ modeled Hydroperoxy radical Model.cmaq.discover.md.conc.hono (ppmv) 35 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.md.conc.iole (ppmv) 35 level(s) of CMAQ modeled Internal olefin carbon bond Model.cmaq.discover.md.conc.isop (ppmv) 35 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.md.conc.meo2 (ppmv) 35 level(s) of CMAQ modeled Methylperoxy radical Model.cmaq.discover.md.conc.n2o5 (ppmv) 35 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.md.conc.nh3 (ppmv) 35 level(s) of CMAQ modeled ammonia Model.cmaq.discover.md.conc.no (ppmv) 35 level(s) of CMAQ modeled nitric oxide Model.cmaq.discover.md.conc.no2 (ppmv) 35 level(s) of CMAQ modeled nitrogen dioxide Model.cmaq.discover.md.conc.no3 (ppmv) 35 level(s) of CMAQ modeled nitrate Model.cmaq.discover.md.conc.ntr (ppmv) 35 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.md.conc.numacc (number/m3) 35 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.md.conc.numatkn (number/m3) 35 level(s) of CMAQ modeled Aitken Mode Number Model.cmaq.discover.md.conc.numcor (number/m3) 35 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.md.conc.o3 (ppmv) 35 level(s) of CMAQ modeled Ozone Model.cmaq.discover.md.conc.oh (ppmv) 35 level(s) of CMAQ modeled Hydroxyl radical Model.cmaq.discover.md.conc.ole (ppmv) 35 level(s) of CMAQ modeled Terminal olefin carbon bond Model.cmaq.discover.md.conc.opan (ppmv) 35 level(s) of CMAQ modeled opan Model.cmaq.discover.md.conc.opo3 (ppmv) 35 level(s) of CMAQ modeled Peroxyacyl radical from oxidation of OPEN Model.cmaq.discover.md.conc.pan (ppmv) 35 level(s) of CMAQ modeled Peroxyacyl nitrate Model.cmaq.discover.md.conc.panx (ppmv) 35 level(s) of CMAQ modeled C3 and higher peroxyacyl nitrates Model.cmaq.discover.md.conc.par (ppmv) 35 level(s) of CMAQ modeled Paraffin carbon bond Model.cmaq.discover.md.conc.pna (ppmv) 35 level(s) of CMAQ modeled Peroxynitric acid Model.cmaq.discover.md.conc.rooh (ppmv) 35 level(s) of CMAQ modeled Higher organic peroxide Model.cmaq.discover.md.conc.ror (ppmv) 35 level(s) of CMAQ modeled Secondary alkoxy radical Model.cmaq.discover.md.conc.sesq (ppmv) 35 level(s) of CMAQ modeled Sesquiterpene Model.cmaq.discover.md.conc.so2 (ppmv) 35 level(s) of CMAQ modeled Sulfur dioxide Model.cmaq.discover.md.conc.srfacc (m2/m3) 35 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.md.conc.srfatkn (m2/m3) 35 level(s) of CMAQ modeled Aitken Mode Surface Area Model.cmaq.discover.md.conc.srfcor (m2/m3) 35 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.md.conc.sulf (ppmv) 35 level(s) of CMAQ modeled Sulfuric acid gas Model.cmaq.discover.md.conc.terp (ppmv) 35 level(s) of CMAQ modeled Terpene Model.cmaq.discover.md.conc.to2 (ppmv) 35 level(s) of CMAQ modeled Tolene-hydroxyl radical adduct Model.cmaq.discover.md.conc.tol (ppmv) 35 level(s) of CMAQ modeled Toluene and other monoalkyl aromatics Model.cmaq.discover.md.conc.w_vel (m/s) 35 level(s) of CMAQ modeled Vertical component of wind velocity Model.cmaq.discover.md.conc.xo2 (ppmv) 35 level(s) of CMAQ modeled NO-to-NO2 conversion from alkylperoxy radical Model.cmaq.discover.md.conc.xo2n (ppmv) 35 level(s) of CMAQ modeled NO-to-nitrate conversion from alkylperoxy radical Model.cmaq.discover.md.conc.xyl (ppmv) 35 level(s) of CMAQ modeled Xylene and other polyalkyl aromatics Model.cmaq.discover.md.depv.vd_ald (cm/sec) 1 level(s) of CMAQ modeled ald? Model.cmaq.discover.md.depv.vd_cl2 (cm/sec) 1 level(s) of CMAQ modeled cl2? Model.cmaq.discover.md.depv.vd_co (cm/sec) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.md.depv.vd_fmcl (cm/sec) 1 level(s) of CMAQ modeled fmcl? Model.cmaq.discover.md.depv.vd_gen_ald (cm/sec) 1 level(s) of CMAQ modeled gen_ald? Model.cmaq.discover.md.depv.vd_h2o2 (cm/sec) 1 level(s) of CMAQ modeled Peroxide Model.cmaq.discover.md.depv.vd_hcho (cm/sec) 1 level(s) of CMAQ modeled hcho? Model.cmaq.discover.md.depv.vd_hcl (cm/sec) 1 level(s) of CMAQ modeled Hydrochloric Acid Model.cmaq.discover.md.depv.vd_hno3 (cm/sec) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.discover.md.depv.vd_hocl (cm/sec) 1 level(s) of CMAQ modeled hocl? Model.cmaq.discover.md.depv.vd_hono (cm/sec) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.discover.md.depv.vd_methanol (cm/sec) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.md.depv.vd_n2o5 (cm/sec) 1 level(s) of CMAQ modeled Dinitrate Pentoxide Model.cmaq.discover.md.depv.vd_nh3 (cm/sec) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.md.depv.vd_no (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Oxide Model.cmaq.discover.md.depv.vd_no2 (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.discover.md.depv.vd_no3 (cm/sec) 1 level(s) of CMAQ modeled Nitrogen Trioxide Model.cmaq.discover.md.depv.vd_o3 (cm/sec) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.md.depv.vd_op (cm/sec) 1 level(s) of CMAQ modeled op? Model.cmaq.discover.md.depv.vd_ora (cm/sec) 1 level(s) of CMAQ modeled ora? Model.cmaq.discover.md.depv.vd_paa (cm/sec) 1 level(s) of CMAQ modeled paa? Model.cmaq.discover.md.depv.vd_pan (cm/sec) 1 level(s) of CMAQ modeled Peroxy Acetyl Nitrate Model.cmaq.discover.md.depv.vd_so2 (cm/sec) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.md.depv.vd_sulf (cm/sec) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.md.depv.vmassc (cm/sec) 1 level(s) of CMAQ modeled vmassc? Model.cmaq.discover.md.depv.vmassi (cm/sec) 1 level(s) of CMAQ modeled vmassi? Model.cmaq.discover.md.depv.vmassj (cm/sec) 1 level(s) of CMAQ modeled vmassj? Model.cmaq.discover.md.depv.vnumacc (cm/sec) 1 level(s) of CMAQ modeled vnumacc? Model.cmaq.discover.md.depv.vnumatkn (cm/sec) 1 level(s) of CMAQ modeled vnumatkn? Model.cmaq.discover.md.depv.vnumcor (cm/sec) 1 level(s) of CMAQ modeled vnumcor? Model.cmaq.discover.md.depv.vsrfacc (cm/sec) 1 level(s) of CMAQ modeled vsrfacc? Model.cmaq.discover.md.depv.vsrfatkn (cm/sec) 1 level(s) of CMAQ modeled vsrfatkn? Model.cmaq.discover.md.depv.vsrfcor (cm/sec) 1 level(s) of CMAQ modeled vsrfcor? Model.cmaq.discover.md.drydep.aacd (kg/hectare) 1 level(s) of CMAQ modeled Acetic And Higher Carboxylic Acids Model.cmaq.discover.md.drydep.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Aluminum Accumulation Mode Model.cmaq.discover.md.drydep.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.md.drydep.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.md.drydep.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.md.drydep.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.md.drydep.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.md.drydep.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Aitken Mode Model.cmaq.discover.md.drydep.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Accumulation Mode Model.cmaq.discover.md.drydep.acors (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chlorine Coarse Mode Model.cmaq.discover.md.drydep.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Course Mode Anthropogenic Mass Model.cmaq.discover.md.drydep.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.md.drydep.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.md.drydep.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Elemental Accumulation Mode Model.cmaq.discover.md.drydep.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.md.drydep.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.md.drydep.akj (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.md.drydep.ald2 (kg/hectare) 1 level(s) of CMAQ modeled Fine mode potassium Model.cmaq.discover.md.drydep.aldx (kg/hectare) 1 level(s) of CMAQ modeled High Melecular Weight Aldehydes Model.cmaq.discover.md.drydep.amgj (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.md.drydep.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Aitken Mode Model.cmaq.discover.md.drydep.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.md.drydep.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.md.drydep.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.md.drydep.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.md.drydep.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.md.drydep.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.md.drydep.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.md.drydep.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.md.drydep.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.md.drydep.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.md.drydep.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol organic carbon Accumulation Mode Model.cmaq.discover.md.drydep.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol other carbon Accumulation Mode Model.cmaq.discover.md.drydep.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Aitken Mode Model.cmaq.discover.md.drydep.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic matter Accumulation Mode Model.cmaq.discover.md.drydep.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Aitken Mode Model.cmaq.discover.md.drydep.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol particle oxidation catalysts Accumulation Mode Model.cmaq.discover.md.drydep.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.md.drydep.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol silicon Accumulation Mode Model.cmaq.discover.md.drydep.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.md.drydep.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.md.drydep.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coase Mode Model.cmaq.discover.md.drydep.asqtj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol coarse mode soil-derived mass Model.cmaq.discover.md.drydep.atij (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.md.drydep.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.md.drydep.atol2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.drydep.atol3j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.drydep.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.md.drydep.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.md.drydep.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.md.drydep.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.drydep.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.drydep.cl2 (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.md.drydep.co (kg/hectare) 1 level(s) of CMAQ modeled Elemental Chlorine Model.cmaq.discover.md.drydep.crpx (kg/hectare) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.discover.md.drydep.facd (kg/hectare) 1 level(s) of CMAQ modeled Nitro-cresol from hydroperoxide Model.cmaq.discover.md.drydep.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.md.drydep.form (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.md.drydep.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.md.drydep.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.md.drydep.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.md.drydep.hocl (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.md.drydep.hono (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.md.drydep.meoh (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.md.drydep.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.md.drydep.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.md.drydep.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.md.drydep.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.md.drydep.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.md.drydep.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.md.drydep.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.md.drydep.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.md.drydep.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.md.drydep.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.md.drydep.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.md.drydep.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.md.drydep.rooh (kg/hectare) 1 level(s) of CMAQ modeled Higher organic peroxide Model.cmaq.discover.md.drydep.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.md.drydep.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.md.emis.acrolein (g/s) 1 level(s) of CMAQ modeled acrolein Model.cmaq.discover.md.emis.ald2 (g/s) 1 level(s) of CMAQ modeled Acetaldehyde Model.cmaq.discover.md.emis.ald2_primary (g/s) 1 level(s) of CMAQ modeled ald2_primary Model.cmaq.discover.md.emis.aldx (g/s) 1 level(s) of CMAQ modeled Propionaldehyde and higher aldehydes Model.cmaq.discover.md.emis.benzene (g/s) 1 level(s) of CMAQ modeled benzene Model.cmaq.discover.md.emis.butadiene13 (g/s) 1 level(s) of CMAQ modeled butadiene13 Model.cmaq.discover.md.emis.ch4 (g/s) 1 level(s) of CMAQ modeled methane Model.cmaq.discover.md.emis.cl2 (g/s) 1 level(s) of CMAQ modeled chlorine Model.cmaq.discover.md.emis.co (g/s) 1 level(s) of CMAQ modeled carbon monoxide Model.cmaq.discover.md.emis.eth (g/s) 1 level(s) of CMAQ modeled Ethene Model.cmaq.discover.md.emis.etha (g/s) 1 level(s) of CMAQ modeled Ethane Model.cmaq.discover.md.emis.etoh (g/s) 1 level(s) of CMAQ modeled Ethanol Model.cmaq.discover.md.emis.form (g/s) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.md.emis.form_primary (g/s) 1 level(s) of CMAQ modeled Formaldehyde primary Model.cmaq.discover.md.emis.hcl (g/s) 1 level(s) of CMAQ modeled Hydrogen chloride Model.cmaq.discover.md.emis.hono (g/s) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.md.emis.iole (g/s) 1 level(s) of CMAQ modeled Internal olefin carbon bond Model.cmaq.discover.md.emis.isop (g/s) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.discover.md.emis.meoh (g/s) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.md.emis.naphthalene (g/s) 1 level(s) of CMAQ modeled naphthalene Model.cmaq.discover.md.emis.nh3 (moles/s) 1 level(s) of CMAQ modeled ammonia Model.cmaq.discover.md.emis.nh3_fert (moles/s) 1 level(s) of CMAQ modeled ammonia from fertilizers Model.cmaq.discover.md.emis.no (moles/s) 1 level(s) of CMAQ modeled nitrogen monoxide Model.cmaq.discover.md.emis.no2 (moles/s) 1 level(s) of CMAQ modeled nitrogen dioxide Model.cmaq.discover.md.emis.nvol (moles/s) 1 level(s) of CMAQ modeled Nonvolatile Carbon Model.cmaq.discover.md.emis.ole (moles/s) 1 level(s) of CMAQ modeled Terminal olefin carbon bond Model.cmaq.discover.md.emis.pal (moles/s) 1 level(s) of CMAQ modeled Fine mode aluminum Model.cmaq.discover.md.emis.par (moles/s) 1 level(s) of CMAQ modeled Paraffin carbon bond Model.cmaq.discover.md.emis.pca (moles/s) 1 level(s) of CMAQ modeled fine mode calcium Model.cmaq.discover.md.emis.pcl (moles/s) 1 level(s) of CMAQ modeled fine mode chlorine Model.cmaq.discover.md.emis.pec (moles/s) 1 level(s) of CMAQ modeled fine mode elemental carbon Model.cmaq.discover.md.emis.pfe (moles/s) 1 level(s) of CMAQ modeled fine mode iron Model.cmaq.discover.md.emis.ph2o (moles/s) 1 level(s) of CMAQ modeled Fine mode particulate water Model.cmaq.discover.md.emis.pk (moles/s) 1 level(s) of CMAQ modeled Fine mode potassium Model.cmaq.discover.md.emis.pmc (moles/s) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.md.emis.pmfine (moles/s) 1 level(s) of CMAQ modeled Fine mode primary particulate matter Model.cmaq.discover.md.emis.pmg (moles/s) 1 level(s) of CMAQ modeled Fine mode magnesium Model.cmaq.discover.md.emis.pmn (moles/s) 1 level(s) of CMAQ modeled Fine mode manganese Model.cmaq.discover.md.emis.pmothr (moles/s) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.md.emis.pna (moles/s) 1 level(s) of CMAQ modeled Fine mode sodium Model.cmaq.discover.md.emis.pncom (moles/s) 1 level(s) of CMAQ modeled Fine mode primary non-carbon organic matter Model.cmaq.discover.md.emis.pnh4 (moles/s) 1 level(s) of CMAQ modeled Fine particulate ammonium Model.cmaq.discover.md.emis.pno3 (moles/s) 1 level(s) of CMAQ modeled Fine mode nitrate Model.cmaq.discover.md.emis.poc (moles/s) 1 level(s) of CMAQ modeled Fine mode primary organic carbon Model.cmaq.discover.md.emis.psi (moles/s) 1 level(s) of CMAQ modeled Fine mode silicon Model.cmaq.discover.md.emis.pso4 (moles/s) 1 level(s) of CMAQ modeled Fine mode sulfate Model.cmaq.discover.md.emis.pti (moles/s) 1 level(s) of CMAQ modeled Fine mode titanium Model.cmaq.discover.md.emis.so2 (moles/s) 1 level(s) of CMAQ modeled Fine mode sulfate Model.cmaq.discover.md.emis.sulf (moles/s) 1 level(s) of CMAQ modeled sulfate Model.cmaq.discover.md.emis.terp (moles/s) 1 level(s) of CMAQ modeled Terpene Model.cmaq.discover.md.emis.tol (moles/s) 1 level(s) of CMAQ modeled Toluene And Other Monoalkyl Aromatics Model.cmaq.discover.md.emis.unk (moles/s) 1 level(s) of CMAQ modeled Unknown Model.cmaq.discover.md.emis.unr (moles/s) 1 level(s) of CMAQ modeled Unreactive Model.cmaq.discover.md.emis.voc_inv (moles/s) 1 level(s) of CMAQ modeled volatile organic componds inv Model.cmaq.discover.md.emis.xyl (moles/s) 1 level(s) of CMAQ modeled Xylene And Other Polyalkyl Aromatics Model.cmaq.discover.md.metcro2d.rainc (mm) 1 level(s) of CMAQ modeled Accumulated total cumulus precipitation Model.cmaq.discover.md.metcro2d.rainnc (mm) 1 level(s) of CMAQ modeled Accumulated total grid scale precipitation Model.cmaq.discover.md.metcro3d.dens (Pa) 35 level(s) of CMAQ modeled Base state pressure Model.cmaq.discover.md.noy.noy (ppmV) 35 level(s) of CMAQ modeled Total reactive nitrogen Model.cmaq.discover.md.pm25.pm25 (ug/m3) 35 level(s) of CMAQ modeled particulate matter (aerosols) not more than 2.5 microns in diameter Model.cmaq.discover.md.soilinp.ptype (integer) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.md.soilinp.pulsedate (yyyyddd) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.md.soilinp.pulsetime (hhmmss) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.md.soilinp.rainfall01 (cm) 1 level(s) of CMAQ modeled Aerosol Water Vapor Accumulation Mode Model.cmaq.discover.md.soilinp.rainfall02 (cm) 1 level(s) of CMAQ modeled Aerosol Water Vapor Coarse Mode Model.cmaq.discover.md.soilinp.rainfall03 (cm) 1 level(s) of CMAQ modeled Aerosol Potassium Accumulation Mode Model.cmaq.discover.md.soilinp.rainfall04 (cm) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.md.soilinp.rainfall05 (cm) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.md.soilinp.rainfall06 (cm) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.md.soilinp.rainfall07 (cm) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.md.soilinp.rainfall08 (cm) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.md.soilinp.rainfall09 (cm) 1 level(s) of CMAQ modeled Accumulation Mode Number Model.cmaq.discover.md.soilinp.rainfall10 (cm) 1 level(s) of CMAQ modeled Coarse Mode Number Model.cmaq.discover.md.soilinp.rainfall11 (cm) 1 level(s) of CMAQ modeled Accumulation Mode Surface Area Model.cmaq.discover.md.soilinp.rainfall12 (cm) 1 level(s) of CMAQ modeled Coarse Mode Surface Area Model.cmaq.discover.md.soilinp.rainfall13 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall14 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall15 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall16 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall17 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall18 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall19 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall20 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall21 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall22 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall23 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.soilinp.rainfall24 (cm) 1 level(s) of CMAQ modeled Model.cmaq.discover.md.ssemis.acaj (g/s) 1 level(s) of CMAQ modeled no emission pulse type Model.cmaq.discover.md.ssemis.aclj (g/s) 1 level(s) of CMAQ modeled cmaq starting date for no emission pulse Model.cmaq.discover.md.ssemis.aclk (g/s) 1 level(s) of CMAQ modeled cmaq starting time for no emission pulse Model.cmaq.discover.md.ssemis.ah2oj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 010000 Model.cmaq.discover.md.ssemis.ah2ok (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 020000 Model.cmaq.discover.md.ssemis.akj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 030000 Model.cmaq.discover.md.ssemis.amgj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 040000 Model.cmaq.discover.md.ssemis.anaj (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 050000 Model.cmaq.discover.md.ssemis.aseacat (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 060000 Model.cmaq.discover.md.ssemis.aso4j (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 070000 Model.cmaq.discover.md.ssemis.aso4k (g/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 080000 Model.cmaq.discover.md.ssemis.numacc (number/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 090000 Model.cmaq.discover.md.ssemis.numcor (number/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 100000 Model.cmaq.discover.md.ssemis.srfacc (m2/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 110000 Model.cmaq.discover.md.ssemis.srfcor (m2/s) 1 level(s) of CMAQ modeled hrly cnv. & non-cnv. rainfall for 2011182 120000 Model.cmaq.discover.md.wetdep1.aacd (kg/hectare) 1 level(s) of CMAQ modeled Higher carboxylic acid Model.cmaq.discover.md.wetdep1.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol aluminum Accumulation Mode Model.cmaq.discover.md.wetdep1.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.md.wetdep1.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.md.wetdep1.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.md.wetdep1.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.md.wetdep1.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.md.wetdep1.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.md.wetdep1.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.md.wetdep1.acors (kg/hectare) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.md.wetdep1.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.md.wetdep1.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.md.wetdep1.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Accumulation Mode Model.cmaq.discover.md.wetdep1.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.md.wetdep1.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.md.wetdep1.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.md.wetdep1.akj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol potassium Accumulation Mode Model.cmaq.discover.md.wetdep1.ald2 (kg/hectare) 1 level(s) of CMAQ modeled High Molecular Weight Aldehydes Model.cmaq.discover.md.wetdep1.aldx (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.md.wetdep1.amgj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.md.wetdep1.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.md.wetdep1.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.md.wetdep1.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.md.wetdep1.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.md.wetdep1.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.md.wetdep1.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.md.wetdep1.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.md.wetdep1.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.md.wetdep1.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.md.wetdep1.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.md.wetdep1.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.md.wetdep1.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.md.wetdep1.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.md.wetdep1.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.md.wetdep1.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Aitken Mode Model.cmaq.discover.md.wetdep1.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.md.wetdep1.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.md.wetdep1.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Silicon Accumulation Mode Model.cmaq.discover.md.wetdep1.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.md.wetdep1.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.md.wetdep1.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.md.wetdep1.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol soil-derived Model.cmaq.discover.md.wetdep1.asqtj (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.md.wetdep1.atij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.md.wetdep1.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.wetdep1.atol2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.wetdep1.atol3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.md.wetdep1.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.md.wetdep1.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.md.wetdep1.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.wetdep1.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.wetdep1.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.md.wetdep1.cl2 (kg/hectare) 1 level(s) of CMAQ modeled Chlorine Model.cmaq.discover.md.wetdep1.co (kg/hectare) 1 level(s) of CMAQ modeled Carbon monoxide Model.cmaq.discover.md.wetdep1.facd (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.md.wetdep1.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.md.wetdep1.form (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.md.wetdep1.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.md.wetdep1.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.md.wetdep1.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.md.wetdep1.hocl (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.md.wetdep1.hono (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.md.wetdep1.hplus (kg/hectare) 1 level(s) of CMAQ modeled Hydronium ion Model.cmaq.discover.md.wetdep1.meoh (kg/hectare) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.md.wetdep1.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.md.wetdep1.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.md.wetdep1.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.md.wetdep1.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.md.wetdep1.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.md.wetdep1.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.md.wetdep1.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.md.wetdep1.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.md.wetdep1.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.md.wetdep1.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.md.wetdep1.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.md.wetdep1.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.md.wetdep1.pna (kg/hectare) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.md.wetdep1.rooh (kg/hectare) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.md.wetdep1.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.md.wetdep1.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.discover.md.wetdep2.aacd (kg/hectare) 1 level(s) of CMAQ modeled Higher carboxylic acid Model.cmaq.discover.md.wetdep2.aalj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol aluminum Accumulation Mode Model.cmaq.discover.md.wetdep2.aalkj (kg/hectare) 1 level(s) of CMAQ modeled SOA from alkanes Model.cmaq.discover.md.wetdep2.abnz1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from benzene Model.cmaq.discover.md.wetdep2.abnz2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from benzene Model.cmaq.discover.md.wetdep2.abnz3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from benzene (low-NOx) Model.cmaq.discover.md.wetdep2.acaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Calcium Accumulation Mode Model.cmaq.discover.md.wetdep2.aclj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Accumulation Mode Model.cmaq.discover.md.wetdep2.aclk (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Chloride Coarse Mode Model.cmaq.discover.md.wetdep2.acors (kg/hectare) 1 level(s) of CMAQ modeled Coarse mode primary particulate matter Model.cmaq.discover.md.wetdep2.aeci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Aitken Mode Model.cmaq.discover.md.wetdep2.aecj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Elemental Carbon Mass Accumulation Mode Model.cmaq.discover.md.wetdep2.afej (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Iron Accumulation Mode Model.cmaq.discover.md.wetdep2.aiso1j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from isoprene Model.cmaq.discover.md.wetdep2.aiso2j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from isoprene Model.cmaq.discover.md.wetdep2.aiso3j (kg/hectare) 1 level(s) of CMAQ modeled Acid-enhanced SOA from isoprene Model.cmaq.discover.md.wetdep2.akj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol potassium Accumulation Mode Model.cmaq.discover.md.wetdep2.ald2 (kg/hectare) 1 level(s) of CMAQ modeled High Molecular Weight Aldehydes Model.cmaq.discover.md.wetdep2.aldx (kg/hectare) 1 level(s) of CMAQ modeled C3+ Aldehydes Model.cmaq.discover.md.wetdep2.amgj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Magnesium Accumulation Mode Model.cmaq.discover.md.wetdep2.amnj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Manganese Accumulation Mode Model.cmaq.discover.md.wetdep2.anaj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sodium Accumulation Mode Model.cmaq.discover.md.wetdep2.anh4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Aitken Mode Model.cmaq.discover.md.wetdep2.anh4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Accumulation Mode Model.cmaq.discover.md.wetdep2.anh4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Ammonium Coarse Mode Model.cmaq.discover.md.wetdep2.ano3i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Aitken Mode Model.cmaq.discover.md.wetdep2.ano3j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Accumulation Mode Model.cmaq.discover.md.wetdep2.ano3k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Nitrate Coarse Mode Model.cmaq.discover.md.wetdep2.aolgaj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile anthropogenic SOA species Model.cmaq.discover.md.wetdep2.aolgbj (kg/hectare) 1 level(s) of CMAQ modeled Oligomers from semi-volatile biogenic SOA species Model.cmaq.discover.md.wetdep2.aorgcj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.md.wetdep2.aothrj (kg/hectare) 1 level(s) of CMAQ modeled Unspeciated fine mode primary particulate matter Model.cmaq.discover.md.wetdep2.apncomi (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Aitken Mode Model.cmaq.discover.md.wetdep2.apncomj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary non-carbon organic mass Accumulation Mode Model.cmaq.discover.md.wetdep2.apoci (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Aitken Mode Model.cmaq.discover.md.wetdep2.apocj (kg/hectare) 1 level(s) of CMAQ modeled Aerosol primary organic carbon Accumulation Mode Model.cmaq.discover.md.wetdep2.aseacat (kg/hectare) 1 level(s) of CMAQ modeled Aerosol sea salt Model.cmaq.discover.md.wetdep2.asij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Silicon Accumulation Mode Model.cmaq.discover.md.wetdep2.aso4i (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Aitken Mode Model.cmaq.discover.md.wetdep2.aso4j (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Accumulation Mode Model.cmaq.discover.md.wetdep2.aso4k (kg/hectare) 1 level(s) of CMAQ modeled Aerosol Sulfate Coarse Mode Model.cmaq.discover.md.wetdep2.asoil (kg/hectare) 1 level(s) of CMAQ modeled Aerosol soil-derived Model.cmaq.discover.md.wetdep2.asqtj (kg/hectare) 1 level(s) of CMAQ modeled SOA from sesquiterpenes Model.cmaq.discover.md.wetdep2.atij (kg/hectare) 1 level(s) of CMAQ modeled Aerosol titanium Accumulation Mode Model.cmaq.discover.md.wetdep2.atol1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.wetdep2.atol2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from mono-substituted aromatics Model.cmaq.discover.md.wetdep2.atol3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from mono-substituted aromatics (low-NOx) Model.cmaq.discover.md.wetdep2.atrp1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from monoterpenes Model.cmaq.discover.md.wetdep2.atrp2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from monoterpenes Model.cmaq.discover.md.wetdep2.axyl1j (kg/hectare) 1 level(s) of CMAQ modeled Low-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.wetdep2.axyl2j (kg/hectare) 1 level(s) of CMAQ modeled High-volatility SOA from poly-substituted aromatics Model.cmaq.discover.md.wetdep2.axyl3j (kg/hectare) 1 level(s) of CMAQ modeled Non-volatile SOA from poly-substituted aromatics (low-NOx) Model.cmaq.discover.md.wetdep2.cl2 (kg/hectare) 1 level(s) of CMAQ modeled chlorine Model.cmaq.discover.md.wetdep2.cld_trans (-) 1 level(s) of CMAQ modeled total cloud transmissivity Model.cmaq.discover.md.wetdep2.cloud_bottom (layer-number) 1 level(s) of CMAQ modeled layer containing bottom of cloud, or missing = -9999.9 Model.cmaq.discover.md.wetdep2.co (kg/hectare) 1 level(s) of CMAQ modeled Carbon monoxide Model.cmaq.discover.md.wetdep2.facd (kg/hectare) 1 level(s) of CMAQ modeled Formic acid Model.cmaq.discover.md.wetdep2.fmcl (kg/hectare) 1 level(s) of CMAQ modeled Formyl chloride Model.cmaq.discover.md.wetdep2.form (kg/hectare) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.discover.md.wetdep2.h2o2 (kg/hectare) 1 level(s) of CMAQ modeled Hydrogen peroxide Model.cmaq.discover.md.wetdep2.hcl (kg/hectare) 1 level(s) of CMAQ modeled Hydrochloric acid Model.cmaq.discover.md.wetdep2.hno3 (kg/hectare) 1 level(s) of CMAQ modeled Nitric acid Model.cmaq.discover.md.wetdep2.hocl (kg/hectare) 1 level(s) of CMAQ modeled Hypochlorous acid Model.cmaq.discover.md.wetdep2.hono (kg/hectare) 1 level(s) of CMAQ modeled Nitrous acid Model.cmaq.discover.md.wetdep2.hplus (kg/hectare) 1 level(s) of CMAQ modeled Hydronium ion Model.cmaq.discover.md.wetdep2.meoh (kg/hectare) 1 level(s) of CMAQ modeled Methanol Model.cmaq.discover.md.wetdep2.mepx (kg/hectare) 1 level(s) of CMAQ modeled Methylhydroperoxide Model.cmaq.discover.md.wetdep2.n2o5 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen pentoxide Model.cmaq.discover.md.wetdep2.nh3 (kg/hectare) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.discover.md.wetdep2.no (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen monoxide Model.cmaq.discover.md.wetdep2.no2 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen dioxide Model.cmaq.discover.md.wetdep2.no3 (kg/hectare) 1 level(s) of CMAQ modeled Nitrogen trioxide Model.cmaq.discover.md.wetdep2.np_cldfrac (-) 1 level(s) of CMAQ modeled Non-precipitating cloud fraction Model.cmaq.discover.md.wetdep2.np_cloudtop (layer-number) 1 level(s) of CMAQ modeled Model layer containing top of non-precipitating cloud Model.cmaq.discover.md.wetdep2.np_trans (-) 1 level(s) of CMAQ modeled Non-precipitating cloud transmissivity Model.cmaq.discover.md.wetdep2.ntr (kg/hectare) 1 level(s) of CMAQ modeled Organic nitrate Model.cmaq.discover.md.wetdep2.o3 (kg/hectare) 1 level(s) of CMAQ modeled Ozone Model.cmaq.discover.md.wetdep2.opan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate from Peroxy radical from Aromatic ring opening product Model.cmaq.discover.md.wetdep2.pacd (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetic acid Model.cmaq.discover.md.wetdep2.pan (kg/hectare) 1 level(s) of CMAQ modeled Peroxyacetyl nitrate Model.cmaq.discover.md.wetdep2.panx (kg/hectare) 1 level(s) of CMAQ modeled Higher peroxyacyl nitrate Model.cmaq.discover.md.wetdep2.plcl (pa ) 1 level(s) of CMAQ modeled Pressure at lifting condensation level Model.cmaq.discover.md.wetdep2.pna (kg/hectare) 1 level(s) of CMAQ modeled Peroxynitric Acid Model.cmaq.discover.md.wetdep2.pr_cldfrac (-) 1 level(s) of CMAQ modeled Precipitating cloud fraction Model.cmaq.discover.md.wetdep2.pr_cloudtop (layer-number) 1 level(s) of CMAQ modeled Precipitating cloud top layer number Model.cmaq.discover.md.wetdep2.pr_trans (-) 1 level(s) of CMAQ modeled Precipitating cloud transmissivity Model.cmaq.discover.md.wetdep2.rain_flag (1 or 0) 1 level(s) of CMAQ modeled Rain flag 1 is raining 0 is not raining Model.cmaq.discover.md.wetdep2.res_trans (-) 1 level(s) of CMAQ modeled Resolved cloud transmissivity Model.cmaq.discover.md.wetdep2.rooh (kg/hectare) 1 level(s) of CMAQ modeled C2+ Organic Hydroperoxide Model.cmaq.discover.md.wetdep2.so2 (kg/hectare) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.discover.md.wetdep2.sulf (kg/hectare) 1 level(s) of CMAQ modeled Sulfuric Acid Model.cmaq.equates.conus.aconc.AFEJ (ug_m-3) Fine Particle Iron\tPMF_FE Model.cmaq.equates.conus.aconc.AIR_DENS (kg_m-3) Air Density Model.cmaq.equates.conus.aconc.ALD2 (ppbV) Acetaldehyde Model.cmaq.equates.conus.aconc.AOCI (ugC_m-3) APOCI[0] + ASOCI[0] Model.cmaq.equates.conus.aconc.AOCJ (ugC_m-3) APOCJ[0] + ASOCJ[0] Model.cmaq.equates.conus.aconc.AOMI (ug_m-3) APOMI[0] + ASOMI[0] Model.cmaq.equates.conus.aconc.AOMJ (ug_m-3) APOMJ[0] + ASOMJ[0] Model.cmaq.equates.conus.aconc.AORGAJ (ug_m-3) AAVB1J[1]+AAVB2J[1]+AAVB3J[1]+AAVB4J[1]+AOLGAJ[1] Model.cmaq.equates.conus.aconc.AORGBJ (ug_m-3) AISO1J[1] + AISO2J[1] + AISO3J[1] +AMT1J[1] + AMT2J[1] + AMT3J[1] Model.cmaq.equates.conus.aconc.APOCI (ugC_m-3) ALVPO1I[1]/1.39 + ASVPO1I[1]/1.32 + ASVPO2I[1]/1.26 +APOCI[1] Model.cmaq.equates.conus.aconc.APOCJ (ugC_m-3) ALVPO1J[1]/1.39 + ASVPO1J[1]/1.32 + ASVPO2J[1]/1.26 +ASVPO3J[1]/1.21 + AIVPO1J[ Model.cmaq.equates.conus.aconc.APOMI (ug_m-3) ALVPO1I[1] + ASVPO1I[1] + ASVPO2I[1] + APOCI[1] +APNCOMI[1] Model.cmaq.equates.conus.aconc.APOMJ (ug_m-3) ALVPO1J[1] + ASVPO1J[1] + ASVPO2J[1] + APOCJ[1] +ASVPO3J[1] + AIVPO1J[1] + Model.cmaq.equates.conus.aconc.ASOCI (ugC_m-3) ALVOO1I[1]/2.27 + ALVOO2I[1]/2.06 +ASVOO1I[1]/1.88 + ASVOO2I[1]/1.73 Model.cmaq.equates.conus.aconc.ASOCJ (ugC_m-3) AISO1J[1]/2.20 + AISO2J[1]/2.23 + AISO3J[1]/2.80 +AMT1J[1]/1.67 + AMT2J[1]/ Model.cmaq.equates.conus.aconc.ASOMI (ug_m-3) ALVOO1I[1] + ALVOO2I[1] + ASVOO1I[1] + ASVOO2I[1] Model.cmaq.equates.conus.aconc.ASOMJ (ug_m-3) +AISO1J[1]+ AISO2J[1] + AISO3J[1] +AMT1J[1] + AMT2J[1] + AMT3 Model.cmaq.equates.conus.aconc.AUNSPEC1IJ (ug_m-3) ATOTIJ[0] - (ASOILJ[0] + ANO3IJ[0] + ASO4IJ[0] + ANH4IJ[0] +AOCIJ[0] + AECIJ[0 Model.cmaq.equates.conus.aconc.AUNSPEC2IJ (ug_m-3) AUNSPEC1IJ[0] - ANCOMIJ[0] Model.cmaq.equates.conus.aconc.BENZENE (ppbV) Benzene Model.cmaq.equates.conus.aconc.CO (ppbV) Carbon Monoxide Model.cmaq.equates.conus.aconc.ETH (ppbV) Ethene Model.cmaq.equates.conus.aconc.ETHA (ppbV) Ethane Model.cmaq.equates.conus.aconc.FORM (ppbV) Formaldehyde Model.cmaq.equates.conus.aconc.H2O2 (ppbV) Hydrogen Peroxide Model.cmaq.equates.conus.aconc.HNO3 (ppbV) Nitric Acid Model.cmaq.equates.conus.aconc.HNO3_UGM3 (ug_m-3) Nitric Acid (concentration) Model.cmaq.equates.conus.aconc.HONO (ppbV) Nitrous Acid Model.cmaq.equates.conus.aconc.HOX (ppbV) Hydroxyl Radical (OH) + Hydroperoxy Radical (HO2) Model.cmaq.equates.conus.aconc.ISOP (ppbV) Isoprene Model.cmaq.equates.conus.aconc.N2O5 (ppbV) Dinitrogen Pentoxide Model.cmaq.equates.conus.aconc.NH3 (ppbV) Ammonia Model.cmaq.equates.conus.aconc.NH3_UGM3 (ug_m-3) Ammonia (concentration) Model.cmaq.equates.conus.aconc.NHX (ug_m-3) Inorganic Nitrogen (ammonia gas plus particulate ammonium) Model.cmaq.equates.conus.aconc.NO (ppbV) Nitric Oxide Model.cmaq.equates.conus.aconc.NO2 (ppbV) Nitrogen Dioxide Model.cmaq.equates.conus.aconc.NOX (ppbV) Nitrogen Oxides (NO + NO2) Model.cmaq.equates.conus.aconc.NOY (ppbV) Total Reative Nitrogen (NO + NO2 + HNO3 + PAN + other organic nitrates) Model.cmaq.equates.conus.aconc.NTR (ppbV) Monofunctional Organic Nitrates (NTR1) + Multifunctional Organic Nitrates (NTR2) Model.cmaq.equates.conus.aconc.O3 (ppbV) Ozone Model.cmaq.equates.conus.aconc.OH (ppbV) Hydroxyl Radical Model.cmaq.equates.conus.aconc.PANS (ppbV) Peroxyacylnitrate (PAN) + peroxyacylnitrates with 3 or morecarbons (PANX) + pero Model.cmaq.equates.conus.aconc.PBLH (m) Planetary Boundary Layer Height Model.cmaq.equates.conus.aconc.PM1 (ug_m-3) PM1 (sharp 1 micrometer cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM10 (ug_m-3) Particulate Matter up to 10 micrometers in Size Model.cmaq.equates.conus.aconc.PM25 (ug_m-3) Total PM2.5 (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_CA (ug_m-3) PM2.5 Calcium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_CL (ug_m-3) PM2.5 Chloride (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_EC (ug_m-3) PM2.5 Elemental Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_HP (ug_m-3) Hydronium Ion (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_K (ug_m-3) PM2.5 Potassium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_MG (ug_m-3) PM2.5 Magnesium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_NA (ug_m-3) PM2.5 Sodium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_NH4 (ug_m-3) PM2.5 Ammonium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_NO3 (ug_m-3) PM2.5 Nitrate (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_OC (ugC_m-3) PM2.5 Organic Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_OM (ug_m-3) PM2.5 Organic Matter (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_SO4 (ug_m-3) PM2.5 Sulfate (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.conus.aconc.PM25_SOIL (ug_m-3) PM2.5 Lumped Crustal Species (sharp cutoff computed using modeled size distribut Model.cmaq.equates.conus.aconc.PM25_UNSPEC1 (ug_m-3) Other PM2.5 Species (Total - (CL+EC+NA+NH4+NO3+OC+SOIL+SO4))\t Model.cmaq.equates.conus.aconc.PM25to10 (ug_m-3) Coarse Mode Particulate Matter (Total PM - PM25_TOT) Model.cmaq.equates.conus.aconc.PM25to10_CL (ug_m-3) Coarse Mode Chlorine (Total CL - PM25_CL) Model.cmaq.equates.conus.aconc.PM25to10_NA (ug_m-3) Coarse Mode Sodium (Total NA - PM25_NA) Model.cmaq.equates.conus.aconc.PM25to10_NH4 (ug_m-3) Coarse Mode Ammonium (Total NH4 - PM25_NH4) Model.cmaq.equates.conus.aconc.PM25to10_NO3 (ug_m-3) Coarse Mode Nitrate (Total Particle NO3 - PM25_NO3) Model.cmaq.equates.conus.aconc.PM25to10_SO4 (ug_m-3) Coarse Mode Sulfate (Total Particle SO4 - PM25_SO4) Model.cmaq.equates.conus.aconc.PMACC_MASS (ug_m-3) Accumulation Particle Mass Model.cmaq.equates.conus.aconc.PMAIT_MASS (ug_m-3) Aitken Particle Mass Model.cmaq.equates.conus.aconc.PMAMS_CL (ug_m-3) ACLI[1]*AMSAT[3]+ACLJ[1]*AMSAC[3]+ACLK[1]*AMSCO[3] Model.cmaq.equates.conus.aconc.PMAMS_NH4 (ug_m-3) ANH4I[1]*AMSAT[3]+ANH4J[1]*AMSAC[3]+ANH4K[1]*AMSCO[3] Model.cmaq.equates.conus.aconc.PMAMS_NO3 (ug_m-3) ANO3I[1]*AMSAT[3]+ANO3J[1]*AMSAC[3]+ANO3K[1]*AMSCO[3] Model.cmaq.equates.conus.aconc.PMAMS_OM (ugC_m-3) AOMI[0]*AMSAT[3]+AOMJ[0]*AMSAC[3] Model.cmaq.equates.conus.aconc.PMAMS_SO4 (ug_m-3) ASO4I[1]*AMSAT[3]+ASO4J[1]*AMSAC[3]+ASO4K[1]*AMSCO[3] Model.cmaq.equates.conus.aconc.PMC_CA (ug_m-3) Coarse Particle Calcium Model.cmaq.equates.conus.aconc.PMC_K (ug_m-3) Coarse Particle Potassium Model.cmaq.equates.conus.aconc.PMC_MASS (ug_m-3) Coarse Particle Mass Model.cmaq.equates.conus.aconc.PMC_MG (ug_m-3) Coarse Particle Magnesium Model.cmaq.equates.conus.aconc.PMC_NA (ug_m-3) Coarse Particle Sodium Model.cmaq.equates.conus.aconc.PMC_NH4 (ug_m-3) Coarse Particle Ammonium Model.cmaq.equates.conus.aconc.PMC_NO3 (ug_m-3) Coarse Particle Nitrate Model.cmaq.equates.conus.aconc.PMC_SO4 (ug_m-3) Coarse Particle Sulfate Model.cmaq.equates.conus.aconc.PMF_AL (ug_m-3) Fine Particle Aluminum Model.cmaq.equates.conus.aconc.PMF_CA (ug_m-3) Fine Particle Calcium Model.cmaq.equates.conus.aconc.PMF_CL (ug_m-3) Fine Particle Chloride Model.cmaq.equates.conus.aconc.PMF_CLDGLY (ug_m-3) Glyoxal and methylglyoxal SOA produced in cloud water Model.cmaq.equates.conus.aconc.PMF_EC (ug_m-3) Fine Particle Elemental Carbon Model.cmaq.equates.conus.aconc.PMF_HPLUS (umol_m-3) Fine Particle Hydronium Ion Model.cmaq.equates.conus.aconc.PMF_K (ug_m-3) Fine Particle Potassium Model.cmaq.equates.conus.aconc.PMF_MASS (ug_m-3) Fine Particle Mass Model.cmaq.equates.conus.aconc.PMF_MG (ug_m-3) Fine Particle Magnesium Model.cmaq.equates.conus.aconc.PMF_MN (ug_m-3) Fine Particle Manganese Model.cmaq.equates.conus.aconc.PMF_NA (ug_m-3) Fine Particle Sodium Model.cmaq.equates.conus.aconc.PMF_NCOM (ug_m-3) Fine Particle Non-Carbon Organic Mass (OM - OC) Model.cmaq.equates.conus.aconc.PMF_NH4 (ug_m-3) Fine Particle Ammonium Model.cmaq.equates.conus.aconc.PMF_NO3 (ug_m-3) Fine Particle Nitrate Model.cmaq.equates.conus.aconc.PMF_NO3_PPB (ppbV) Fine Particle Nitrate (mixing ratio) Model.cmaq.equates.conus.aconc.PMF_OC (ugC_m-3) Fine Particle Organic Carbon (C only) Model.cmaq.equates.conus.aconc.PMF_OM (ug_m-3) Fine Particle Organic Matter (C,H,O,N, etc) Model.cmaq.equates.conus.aconc.PMF_OMOC (ug_ug-1) Fine Particle OM/OC Ratio Model.cmaq.equates.conus.aconc.PMF_POA (ug_m-3) Fine Particle Primary Organic Matter Model.cmaq.equates.conus.aconc.PMF_POC (ugC_m-3) Fine Particle Primary Organic Carbon Model.cmaq.equates.conus.aconc.PMF_SI (ug_m-3) Fine Particle Silicon Model.cmaq.equates.conus.aconc.PMF_SO4 (ug_m-3) Fine Particle Sulfate Model.cmaq.equates.conus.aconc.PMF_SOA (ug_m-3) Fine Particle Secondary Organic Matter Model.cmaq.equates.conus.aconc.PMF_SOC (ugC_m-3) Fine Particle Secondary Organic Carbon Model.cmaq.equates.conus.aconc.PMF_SOIL_IMPV (ug_m-3) Fine Particle Lumped Crustal Species calculated with IMPROVE method Model.cmaq.equates.conus.aconc.PMF_TI (ug_m-3) Fine Particle Titanium Model.cmaq.equates.conus.aconc.PM_MASS (ug_m-3) Total Particle Mass Model.cmaq.equates.conus.aconc.RH (%) Relative Humidity Model.cmaq.equates.conus.aconc.SFC_TMP (C) Surface Temperature Model.cmaq.equates.conus.aconc.SO2 (ppbV) Sulfur Dioxide Model.cmaq.equates.conus.aconc.SO2_UGM3 (ug_m-3) Sulfur Dioxide (concentration) Model.cmaq.equates.conus.aconc.SOL_RAD (W_m-2) Solar Radiation Model.cmaq.equates.conus.aconc.TERP (ppbV) Monoterpenes Model.cmaq.equates.conus.aconc.TNO3 (ug_m-3) Total Nitrate Model.cmaq.equates.conus.aconc.TOL (ppbV) Toluene and Other Monoalkyl Aromatics Model.cmaq.equates.conus.aconc.WDIR10 (deg) 10-m Wind Speed Model.cmaq.equates.conus.aconc.WSPD10 (m_s-1) 10-m Wind Direction Model.cmaq.equates.conus.aconc.XYL (ppbV) Xylene and Other Polyalkyl Aromatics except Naphthalene Model.cmaq.equates.conus.aconc.precip (cm) Precipitation Model.cmaq.equates.conus.aemis.YEARLY_CO (kg) 1 level of CMAQ modelled EQUATES CONUS 12km yearly total emissions of carbon monoxide. Model.cmaq.equates.conus.aemis.YEARLY_NH3 (kg) 1 level of CMAQ modelled EQUATES CONUS 12km yearly total emissions of ammonia. Model.cmaq.equates.conus.aemis.YEARLY_NMOG (kg) 1 level of CMAQ modelled EQUATES CONUS 12km yearly total emissions of non-methane organic gas. Model.cmaq.equates.conus.aemis.YEARLY_NOX (kg) 1 level of CMAQ modelled EQUATES CONUS 12km yearly total emissions of nitrogen oxides. Model.cmaq.equates.conus.aemis.YEARLY_PM25 (kg) 1 level of CMAQ modelled EQUATES CONUS 12km yearly total emissions of particulate matter up to 2.5 microns in size. Model.cmaq.equates.conus.aemis.YEARLY_SO2 (kg) 1 level of CMAQ modelled EQUATES CONUS 12km yearly total emissions of sulfur dioxide. Model.cmaq.equates.conus.aemis.YEARLY_VOC (kg) 1 level of CMAQ modelled EQUATES CONUS 12km yearly total emissions of regulatory anthropogenic volatile organic compounds. Model.cmaq.equates.conus.conc.AIR_DENS (kg_m-3) Air Density Model.cmaq.equates.conus.conc.CO (ppbV) Carbon Monoxide Model.cmaq.equates.conus.conc.FORM (ppbV) Formaldehyde Model.cmaq.equates.conus.conc.GLY (ppbV) 1000.0*GLY[1] Model.cmaq.equates.conus.conc.ISOP (ppbV) Isoprene Model.cmaq.equates.conus.conc.NH3 (ppbV) Ammonia Model.cmaq.equates.conus.conc.NO (ppbV) Nitric Oxide Model.cmaq.equates.conus.conc.NO2 (ppbV) Nitrogen Dioxide Model.cmaq.equates.conus.conc.NOY (ppbV) Total Reative Nitrogen (NO + NO2 + HNO3 + PAN + other organic nitrates) Model.cmaq.equates.conus.conc.NTR (ppbV) Monofunctional Organic Nitrates (NTR1) + Multifunctional Organic Nitrates (NTR2) Model.cmaq.equates.conus.conc.O3 (ppbV) Ozone Model.cmaq.equates.conus.conc.PANS (ppbV) Peroxyacylnitrate (PAN) + peroxyacylnitrates with 3 or morecarbons (PANX) + pero Model.cmaq.equates.conus.conc.PMF_EC (ug_m-3) Fine Particle Elemental Carbon Model.cmaq.equates.conus.conc.PMF_MASS (ug_m-3) Fine Particle Mass Model.cmaq.equates.conus.conc.PMF_NH4 (ug_m-3) Fine Particle Ammonium Model.cmaq.equates.conus.conc.PMF_NO3 (ug_m-3) Fine Particle Nitrate Model.cmaq.equates.conus.conc.PMF_NO3_PPB (ppbV) Fine Particle Nitrate (mixing ratio) Model.cmaq.equates.conus.conc.PMF_OC (ugC_m-3) Fine Particle Organic Carbon (C only) Model.cmaq.equates.conus.conc.PMF_OM (ug_m-3) Fine Particle Organic Matter (C,H,O,N, etc) Model.cmaq.equates.conus.conc.PMF_SO4 (ug_m-3) Fine Particle Sulfate Model.cmaq.equates.conus.conc.PMF_SOIL_IMPV (ug_m-3) Fine Particle Lumped Crustal Species calculated with IMPROVE method Model.cmaq.equates.conus.conc.PRES (Pa) PRES[2] Model.cmaq.equates.conus.conc.QV (kg_kg-1) QV[2] Model.cmaq.equates.conus.conc.SO2 (ppbV) Sulfur Dioxide Model.cmaq.equates.conus.conc.TEMP (K) TA[2] Model.cmaq.equates.conus.conc.ZF (m) ZF[2] Model.cmaq.equates.conus.conc.ZH (m) ZH[2] Model.cmaq.equates.conus.dep.DD_OXN_NOX (kgN_ha-1) Dry Deposition of NOX (NO, NO2) Model.cmaq.equates.conus.dep.DD_OXN_ORGN (kgN_ha-1) Dry Deposition of Organic N (NTR1, NTR2, INTR) Model.cmaq.equates.conus.dep.DD_OXN_OTHR (kgN_ha-1) Dry Deposition of Other Oxidized N (N2O5, HONO) Model.cmaq.equates.conus.dep.DD_OXN_PANT (kgN_ha-1) Dry Depostion of PANs (PAN, PANX, OPAN) Model.cmaq.equates.conus.dep.DD_OXN_TNO3 (kgN_ha-1) Dry Deposition of Total Nitrate (HNO3, NO3) Model.cmaq.equates.conus.dep.DRYDEP_N (kgN_ha-1) Dry Deposition of Nitrogen Model.cmaq.equates.conus.dep.DRYDEP_OXN (kgN_ha-1) Dry Deposition of Oxidized Nitrogen (NOX, TNO3, PANs, Org N, N205, HONO, PNA) Model.cmaq.equates.conus.dep.DRYDEP_REDN (kgN_ha-1) Dry Deposition of Reduced Nitorgen (NH4, NH3) Model.cmaq.equates.conus.dep.DRYDEP_S (kgS_ha-1) Dry Deposition of Sulfur Model.cmaq.equates.conus.dep.RT (cm) Precipitation Model.cmaq.equates.conus.dep.TOTDEP_N (kgN_ha-1) Total (Dry + Wet) Deposition of Nitrogen Model.cmaq.equates.conus.dep.TOTDEP_OXN (kgN_ha-1) Total (Dry + Wet) Deposition of Oxidized Nitrogen Model.cmaq.equates.conus.dep.TOTDEP_REDN (kgN_ha-1) Total (Dry + Wet) Deposition of Reduced Nitrogen Model.cmaq.equates.conus.dep.TOTDEP_S (kgS_ha-1) Total (Dry + Wet) Deposition of Sulfur Model.cmaq.equates.conus.dep.WD_OXN_NOX (kgN_ha-1) Wet Deposition of NOX (NO, NO2) Model.cmaq.equates.conus.dep.WD_OXN_ORGN (kgN_ha-1) Wet Deposition of Organic N (NTR1, NTR2, INTR) Model.cmaq.equates.conus.dep.WD_OXN_OTHR (kgN_ha-1) Dry Deposition of Other Oxidized N (N2O5, HONO, PNA) Model.cmaq.equates.conus.dep.WD_OXN_PANT (kgN_ha-1) Wet Depostion of PANs (PAN, PANX, OPAN) Model.cmaq.equates.conus.dep.WD_OXN_TNO3 (kgN_ha-1) Wet Deposition of Total Nitrate (HNO3, NO3) Model.cmaq.equates.conus.dep.WETDEP_N (kgN_ha-1) Wet Deposition of Nitrogen Model.cmaq.equates.conus.dep.WETDEP_OXN (kgN_ha-1) Wet Deposition of Oxidized Nitrogen (NOX, TNO3, PANs, Org N, N205, HONO, PNA) Model.cmaq.equates.conus.dep.WETDEP_REDN (kgN_ha-1) Wet Deposition of Reduced Nitorgen (NH4, NH3) Model.cmaq.equates.conus.dep.WETDEP_S (kgS_ha-1) Wet Deposition of Sulfur Model.cmaq.equates.conus.integrated.AOD550 (-) AOD_W550_ANGST[1] Model.cmaq.equates.conus.integrated.CO_COLUMN (petamolec_cm-2) CO_COLUMN[1] Model.cmaq.equates.conus.integrated.HCHO_COLUMN (petamolec_cm-2) HCHO_COLUMN[1] Model.cmaq.equates.conus.integrated.JNO2 (min-1) JNO2[1] Model.cmaq.equates.conus.integrated.NO2_COLUMN (petamolec_cm-2) NO2_COLUMN[1] Model.cmaq.equates.conus.integrated.O3_COLUMN (DU) TROPO_O3_COLUMN[1] Model.cmaq.equates.conus.integrated.SO2_COLUMN (petamolec_cm-2) SO2_COLUMN[1] Model.cmaq.equates.conus.metcro3d.DENS (kg_m-3) density of air (dry) Model.cmaq.equates.conus.metcro3d.DENSA_J (kg_m-2) J-weighted air density (dry) scaled by MSFX2 Model.cmaq.equates.conus.metcro3d.JACOBF (m) Jacobian at layer face scaled by MSFX2 Model.cmaq.equates.conus.metcro3d.JACOBM (m) Jacobian at layer middle scaled by MSFX2 Model.cmaq.equates.conus.metcro3d.PRES (Pa) pressure Model.cmaq.equates.conus.metcro3d.QC (kg_kg-1) Cloud water mixing ratio Model.cmaq.equates.conus.metcro3d.QG (kg_kg-1) Graupel mixing ratio Model.cmaq.equates.conus.metcro3d.QI (kg_kg-1) Ice mixing ratio Model.cmaq.equates.conus.metcro3d.QR (kg_kg-1) Rain water mixing ratio Model.cmaq.equates.conus.metcro3d.QS (kg_kg-1) Snow mixing ratio Model.cmaq.equates.conus.metcro3d.QV (kg_kg-1) water vapor mixing ratio Model.cmaq.equates.conus.metcro3d.TA (K) air temperature Model.cmaq.equates.conus.metcro3d.WHAT_JD (kg_m-1_s-1) J- and density weighted vert contravariant-W Model.cmaq.equates.conus.metcro3d.ZF (m) full-layer height above ground Model.cmaq.equates.conus.metcro3d.ZH (m) mid-layer height above ground Model.cmaq.equates.conus.metdot3d.UWIND (m_s-1) U-comp. of true wind at dot point Model.cmaq.equates.conus.metdot3d.VWIND (m_s-1) V-comp. of true wind at dot point Model.cmaq.equates.conus.metdot3d.WIND (m_s-1) U,V,W-comp. of true wind at dot point Model.cmaq.equates.conus.wwind.W_VEL (m_s-1) Derived vertical velocity component Model.cmaq.equates.hemi.aconc.AFEJ (ug_m-3) Fine Particle Iron\tPMF_FE Model.cmaq.equates.hemi.aconc.AIR_DENS (kg_m-3) Air Density Model.cmaq.equates.hemi.aconc.ALD2 (ppbV) Acetaldehyde Model.cmaq.equates.hemi.aconc.BENZENE (ppbV) Benzene Model.cmaq.equates.hemi.aconc.CO (ppbV) Carbon Monoxide Model.cmaq.equates.hemi.aconc.ETH (ppbV) Ethene Model.cmaq.equates.hemi.aconc.ETHA (ppbV) Ethane Model.cmaq.equates.hemi.aconc.FORM (ppbV) Formaldehyde Model.cmaq.equates.hemi.aconc.H2O2 (ppbV) Hydrogen Peroxide Model.cmaq.equates.hemi.aconc.HNO3 (ppbV) Nitric Acid Model.cmaq.equates.hemi.aconc.HNO3_UGM3 (ug_m-3) Nitric Acid (concentration) Model.cmaq.equates.hemi.aconc.HONO (ppbV) Nitrous Acid Model.cmaq.equates.hemi.aconc.HOX (ppbV) Hydroxyl Radical (OH) + Hydroperoxy Radical (HO2) Model.cmaq.equates.hemi.aconc.ISOP (ppbV) Isoprene Model.cmaq.equates.hemi.aconc.N2O5 (ppbV) Dinitrogen Pentoxide Model.cmaq.equates.hemi.aconc.NH3 (ppbV) Ammonia Model.cmaq.equates.hemi.aconc.NH3_UGM3 (ug_m-3) Ammonia (concentration) Model.cmaq.equates.hemi.aconc.NHX (ug_m-3) Inorganic Nitrogen (ammonia gas plus particulate ammonium) Model.cmaq.equates.hemi.aconc.NO (ppbV) Nitric Oxide Model.cmaq.equates.hemi.aconc.NO2 (ppbV) Nitrogen Dioxide Model.cmaq.equates.hemi.aconc.NOX (ppbV) Nitrogen Oxides (NO + NO2) Model.cmaq.equates.hemi.aconc.NOY (ppbV) Total Reative Nitrogen (NO + NO2 + HNO3 + PAN + other organic nitrates) Model.cmaq.equates.hemi.aconc.NTR (ppbV) Monofunctional Organic Nitrates (NTR1) + Multifunctional Organic Nitrates (NTR2) Model.cmaq.equates.hemi.aconc.O3 (ppbV) Ozone Model.cmaq.equates.hemi.aconc.OH (ppbV) Hydroxyl Radical Model.cmaq.equates.hemi.aconc.PANS (ppbV) Peroxyacylnitrate (PAN) + peroxyacylnitrates with 3 or morecarbons (PANX) + pero Model.cmaq.equates.hemi.aconc.PBLH (m) Planetary Boundary Layer Height Model.cmaq.equates.hemi.aconc.PM1 (ug_m-3) PM1 (sharp 1 micrometer cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM10 (ug_m-3) Particulate Matter up to 10 micrometers in Size Model.cmaq.equates.hemi.aconc.PM25 (ug_m-3) Total PM2.5 (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_CA (ug_m-3) PM2.5 Calcium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_CL (ug_m-3) PM2.5 Chloride (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_EC (ug_m-3) PM2.5 Elemental Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_FRM (ug_m-3) FRM equivalent PM2.5 (computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_HP (ug_m-3) Hydronium Ion (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_K (ug_m-3) PM2.5 Potassium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_MG (ug_m-3) PM2.5 Magnesium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_NA (ug_m-3) PM2.5 Sodium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_NH4 (ug_m-3) PM2.5 Ammonium (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_NO3 (ug_m-3) PM2.5 Nitrate (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_OC (ugC_m-3) PM2.5 Organic Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_OM (ug_m-3) PM2.5 Organic Matter (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_SO4 (ug_m-3) PM2.5 Sulfate (sharp cutoff computed using modeled size distribution) Model.cmaq.equates.hemi.aconc.PM25_SOIL (ug_m-3) PM2.5 Lumped Crustal Species (sharp cutoff computed using modeled size distribut Model.cmaq.equates.hemi.aconc.PM25_UNSPEC1 (ug_m-3) Other PM2.5 Species (Total - (CL+EC+NA+NH4+NO3+OC+SOIL+SO4))\t Model.cmaq.equates.hemi.aconc.PM25to10 (ug_m-3) Coarse Mode Particulate Matter (Total PM - PM25_TOT) Model.cmaq.equates.hemi.aconc.PM25to10_CL (ug_m-3) Coarse Mode Chlorine (Total CL - PM25_CL) Model.cmaq.equates.hemi.aconc.PM25to10_NA (ug_m-3) Coarse Mode Sodium (Total NA - PM25_NA) Model.cmaq.equates.hemi.aconc.PM25to10_NH4 (ug_m-3) Coarse Mode Ammonium (Total NH4 - PM25_NH4) Model.cmaq.equates.hemi.aconc.PM25to10_NO3 (ug_m-3) Coarse Mode Nitrate (Total Particle NO3 - PM25_NO3) Model.cmaq.equates.hemi.aconc.PM25to10_SO4 (ug_m-3) Coarse Mode Sulfate (Total Particle SO4 - PM25_SO4) Model.cmaq.equates.hemi.aconc.PMACC_MASS (ug_m-3) Accumulation Particle Mass Model.cmaq.equates.hemi.aconc.PMAIT_MASS (ug_m-3) Aitken Particle Mass Model.cmaq.equates.hemi.aconc.PMC_CA (ug_m-3) Coarse Particle Calcium Model.cmaq.equates.hemi.aconc.PMC_K (ug_m-3) Coarse Particle Potassium Model.cmaq.equates.hemi.aconc.PMC_MASS (ug_m-3) Coarse Particle Mass Model.cmaq.equates.hemi.aconc.PMC_MG (ug_m-3) Coarse Particle Magnesium Model.cmaq.equates.hemi.aconc.PMC_NA (ug_m-3) Coarse Particle Sodium Model.cmaq.equates.hemi.aconc.PMC_NH4 (ug_m-3) Coarse Particle Ammonium Model.cmaq.equates.hemi.aconc.PMC_NO3 (ug_m-3) Coarse Particle Nitrate Model.cmaq.equates.hemi.aconc.PMC_SO4 (ug_m-3) Coarse Particle Sulfate Model.cmaq.equates.hemi.aconc.PMF_AL (ug_m-3) Fine Particle Aluminum Model.cmaq.equates.hemi.aconc.PMF_CA (ug_m-3) Fine Particle Calcium Model.cmaq.equates.hemi.aconc.PMF_CL (ug_m-3) Fine Particle Chloride Model.cmaq.equates.hemi.aconc.PMF_CLDGLY (ug_m-3) Glyoxal and methylglyoxal SOA produced in cloud water Model.cmaq.equates.hemi.aconc.PMF_EC (ug_m-3) Fine Particle Elemental Carbon Model.cmaq.equates.hemi.aconc.PMF_FRM (ug_m-3) FRM equivalent particulate matter (Fine Mode) Model.cmaq.equates.hemi.aconc.PMF_HPLUS (umol_m-3) Fine Particle Hydronium Ion Model.cmaq.equates.hemi.aconc.PMF_K (ug_m-3) Fine Particle Potassium Model.cmaq.equates.hemi.aconc.PMF_MASS (ug_m-3) Fine Particle Mass Model.cmaq.equates.hemi.aconc.PMF_MG (ug_m-3) Fine Particle Magnesium Model.cmaq.equates.hemi.aconc.PMF_MN (ug_m-3) Fine Particle Manganese Model.cmaq.equates.hemi.aconc.PMF_NA (ug_m-3) Fine Particle Sodium Model.cmaq.equates.hemi.aconc.PMF_NCOM (ug_m-3) Fine Particle Non-Carbon Organic Mass (OM - OC) Model.cmaq.equates.hemi.aconc.PMF_NH4 (ug_m-3) Fine Particle Ammonium Model.cmaq.equates.hemi.aconc.PMF_NO3 (ug_m-3) Fine Particle Nitrate Model.cmaq.equates.hemi.aconc.PMF_NO3_PPB (ppbV) Fine Particle Nitrate (mixing ratio) Model.cmaq.equates.hemi.aconc.PMF_OC (ugC_m-3) Fine Particle Organic Carbon (C only) Model.cmaq.equates.hemi.aconc.PMF_OM (ug_m-3) Fine Particle Organic Matter (C,H,O,N, etc) Model.cmaq.equates.hemi.aconc.PMF_OMOC (ug_ug-1) Fine Particle OM/OC Ratio Model.cmaq.equates.hemi.aconc.PMF_POA (ug_m-3) Fine Particle Primary Organic Matter Model.cmaq.equates.hemi.aconc.PMF_POC (ugC_m-3) Fine Particle Primary Organic Carbon Model.cmaq.equates.hemi.aconc.PMF_SI (ug_m-3) Fine Particle Silicon Model.cmaq.equates.hemi.aconc.PMF_SO4 (ug_m-3) Fine Particle Sulfate Model.cmaq.equates.hemi.aconc.PMF_SOA (ug_m-3) Fine Particle Secondary Organic Matter Model.cmaq.equates.hemi.aconc.PMF_SOC (ugC_m-3) Fine Particle Secondary Organic Carbon Model.cmaq.equates.hemi.aconc.PMF_SOIL_IMPV (ug_m-3) Fine Particle Lumped Crustal Species calculated with IMPROVE method Model.cmaq.equates.hemi.aconc.PMF_TI (ug_m-3) Fine Particle Titanium Model.cmaq.equates.hemi.aconc.PM_MASS (ug_m-3) Total Particle Mass Model.cmaq.equates.hemi.aconc.RH (%) Relative Humidity Model.cmaq.equates.hemi.aconc.SFC_TMP (C) Surface Temperature Model.cmaq.equates.hemi.aconc.SO2 (ppbV) Sulfur Dioxide Model.cmaq.equates.hemi.aconc.SO2_UGM3 (ug_m-3) Sulfur Dioxide (concentration) Model.cmaq.equates.hemi.aconc.SOL_RAD (W_m-2) Solar Radiation Model.cmaq.equates.hemi.aconc.TERP (ppbV) Monoterpenes Model.cmaq.equates.hemi.aconc.TNO3 (ug_m-3) Total Nitrate Model.cmaq.equates.hemi.aconc.TOL (ppbV) Toluene and Other Monoalkyl Aromatics Model.cmaq.equates.hemi.aconc.WDIR10 (deg) 10-m Wind Speed Model.cmaq.equates.hemi.aconc.WSPD10 (m_s-1) 10-m Wind Direction Model.cmaq.equates.hemi.aconc.XYL (ppbV) Xylene and Other Polyalkyl Aromatics except Naphthalene Model.cmaq.equates.hemi.aconc.precip (cm) Precipitation Model.cmaq.equates.hemi.conc.AIR_DENS (kg_m-3) Air Density Model.cmaq.equates.hemi.conc.CO (ppbV) Carbon Monoxide Model.cmaq.equates.hemi.conc.FORM (ppbV) Formaldehyde Model.cmaq.equates.hemi.conc.NH3 (ppbV) Ammonia Model.cmaq.equates.hemi.conc.NO2 (ppbV) Nitrogen Dioxide Model.cmaq.equates.hemi.conc.O3 (ppbV) Ozone Model.cmaq.equates.hemi.conc.O3PV (ppbV) Ozone PV Model.cmaq.equates.hemi.conc.PMF_EC (ug_m-3) Fine Particle Elemental Carbon Model.cmaq.equates.hemi.conc.PMF_MASS (ug_m-3) Fine Particle Mass Model.cmaq.equates.hemi.conc.PMF_NH4 (ug_m-3) Fine Particle Ammonium Model.cmaq.equates.hemi.conc.PMF_NO3 (ug_m-3) Fine Particle Nitrate Model.cmaq.equates.hemi.conc.PMF_OC (ugC_m-3) Fine Particle Organic Carbon (C only) Model.cmaq.equates.hemi.conc.PMF_OM (ug_m-3) Fine Particle Organic Matter (C,H,O,N, etc) Model.cmaq.equates.hemi.conc.PMF_SO4 (ug_m-3) Fine Particle Sulfate Model.cmaq.equates.hemi.conc.PMF_SOIL_IMPV (ug_m-3) Fine Particle Lumped Crustal Species calculated with IMPROVE method Model.cmaq.equates.hemi.conc.PRES (Pa) PRES[2] Model.cmaq.equates.hemi.conc.QV (kg_kg-1) QV[2] Model.cmaq.equates.hemi.conc.SO2 (ppbV) Sulfur Dioxide Model.cmaq.equates.hemi.conc.TEMP (K) TA[2] Model.cmaq.equates.hemi.conc.ZF (m) ZF[2] Model.cmaq.equates.hemi.conc.ZH (m) ZH[2] Model.cmaq.equates.hemi.dep.DD_OXN_NOX (kgN_ha-1) Dry Deposition of NOX (NO, NO2) Model.cmaq.equates.hemi.dep.DD_OXN_ORGN (kgN_ha-1) Dry Deposition of Organic N (NTR1, NTR2, INTR) Model.cmaq.equates.hemi.dep.DD_OXN_OTHR (kgN_ha-1) Dry Deposition of Other Oxidized N (N2O5, HONO) Model.cmaq.equates.hemi.dep.DD_OXN_PANT (kgN_ha-1) Dry Depostion of PANs (PAN, PANX, OPAN) Model.cmaq.equates.hemi.dep.DD_OXN_TNO3 (kgN_ha-1) Dry Deposition of Total Nitrate (HNO3, NO3) Model.cmaq.equates.hemi.dep.DRYDEP_N (kgN_ha-1) Dry Deposition of Nitrogen Model.cmaq.equates.hemi.dep.DRYDEP_OXN (kgN_ha-1) Dry Deposition of Oxidized Nitrogen (NOX, TNO3, PANs, Org N, N205, HONO, PNA) Model.cmaq.equates.hemi.dep.DRYDEP_REDN (kgN_ha-1) Dry Deposition of Reduced Nitorgen (NH4, NH3) Model.cmaq.equates.hemi.dep.DRYDEP_S (kgS_ha-1) Dry Deposition of Sulfur Model.cmaq.equates.hemi.dep.RT (cm) Precipitation Model.cmaq.equates.hemi.dep.TOTDEP_N (kgN_ha-1) Total (Dry + Wet) Deposition of Nitrogen Model.cmaq.equates.hemi.dep.TOTDEP_OXN (kgN_ha-1) Total (Dry + Wet) Deposition of Oxidized Nitrogen Model.cmaq.equates.hemi.dep.TOTDEP_REDN (kgN_ha-1) Total (Dry + Wet) Deposition of Reduced Nitrogen Model.cmaq.equates.hemi.dep.TOTDEP_S (kgS_ha-1) Total (Dry + Wet) Deposition of Sulfur Model.cmaq.equates.hemi.dep.WD_OXN_NOX (kgN_ha-1) Wet Deposition of NOX (NO, NO2) Model.cmaq.equates.hemi.dep.WD_OXN_ORGN (kgN_ha-1) Wet Deposition of Organic N (NTR1, NTR2, INTR) Model.cmaq.equates.hemi.dep.WD_OXN_OTHR (kgN_ha-1) Dry Deposition of Other Oxidized N (N2O5, HONO, PNA) Model.cmaq.equates.hemi.dep.WD_OXN_PANT (kgN_ha-1) Wet Depostion of PANs (PAN, PANX, OPAN) Model.cmaq.equates.hemi.dep.WD_OXN_TNO3 (kgN_ha-1) Wet Deposition of Total Nitrate (HNO3, NO3) Model.cmaq.equates.hemi.dep.WETDEP_N (kgN_ha-1) Wet Deposition of Nitrogen Model.cmaq.equates.hemi.dep.WETDEP_OXN (kgN_ha-1) Wet Deposition of Oxidized Nitrogen (NOX, TNO3, PANs, Org N, N205, HONO, PNA) Model.cmaq.equates.hemi.dep.WETDEP_REDN (kgN_ha-1) Wet Deposition of Reduced Nitorgen (NH4, NH3) Model.cmaq.equates.hemi.dep.WETDEP_S (kgS_ha-1) Wet Deposition of Sulfur Model.cmaq.equates.hemi.integrated.AOD550 (-) AOD_W550_ANGST[1] Model.cmaq.equates.hemi.integrated.CO_COLUMN (petamolec_cm-2) CO_COLUMN[1] Model.cmaq.equates.hemi.integrated.HCHO_COLUMN (petamolec_cm-2) HCHO_COLUMN[1] Model.cmaq.equates.hemi.integrated.JNO2 (min-1) JNO2[1] Model.cmaq.equates.hemi.integrated.NO2_COLUMN (petamolec_cm-2) NO2_COLUMN[1] Model.cmaq.equates.hemi.integrated.O3_COLUMN (DU) TROPO_O3_COLUMN[1] Model.cmaq.equates.hemi.integrated.SO2_COLUMN (petamolec_cm-2) SO2_COLUMN[1] Model.cmaq.equates.hemi.metcro3d.DENS (kg_m-3) density of air (dry) Model.cmaq.equates.hemi.metcro3d.DENSA_J (kg_m-2) J-weighted air density (dry) scaled by MSFX2 Model.cmaq.equates.hemi.metcro3d.JACOBF (m) Jacobian at layer face scaled by MSFX2 Model.cmaq.equates.hemi.metcro3d.JACOBM (m) Jacobian at layer middle scaled by MSFX2 Model.cmaq.equates.hemi.metcro3d.PRES (Pa) pressure Model.cmaq.equates.hemi.metcro3d.PV (m2_K_kg-1_s-1) Potential vorticity Model.cmaq.equates.hemi.metcro3d.QC (kg_kg-1) Cloud water mixing ratio Model.cmaq.equates.hemi.metcro3d.QG (kg_kg-1) Graupel mixing ratio Model.cmaq.equates.hemi.metcro3d.QI (kg_kg-1) Ice mixing ratio Model.cmaq.equates.hemi.metcro3d.QR (kg_kg-1) Rain water mixing ratio Model.cmaq.equates.hemi.metcro3d.QS (kg_kg-1) Snow mixing ratio Model.cmaq.equates.hemi.metcro3d.QV (kg_kg-1) water vapor mixing ratio Model.cmaq.equates.hemi.metcro3d.TA (K) air temperature Model.cmaq.equates.hemi.metcro3d.WHAT_JD (kg_m-1_s-1) J- and density weighted vert contravariant-W Model.cmaq.equates.hemi.metcro3d.ZF (m) full-layer height above ground Model.cmaq.equates.hemi.metcro3d.ZH (m) mid-layer height above ground Model.cmaq.equates.hemi.metdot3d.UWIND (m_s-1) U-comp. of true wind at dot point Model.cmaq.equates.hemi.metdot3d.VWIND (m_s-1) V-comp. of true wind at dot point Model.cmaq.equates.hemi.metdot3d.WIND (m_s-1) U,V,W-comp. of true wind at dot point Model.cmaq.equates.hemi.wwind.W_VEL (m_s-1) Derived vertical velocity component Model.cmaq.listos.lis.conc.CO (ppbV) Carbon monoxide Model.cmaq.listos.lis.conc.FORM (ppbV) Formaldehyde Model.cmaq.listos.lis.conc.NO2 (ppbV) Nitrogen dioxide Model.cmaq.listos.lis.conc.O3 (ppbV) Ozone Model.cmaq.listos.lis.conc.PAN (ppbV) Instantaneous molar mixing ratio peroxyacyl nitrates Model.cmaq.listos.lis.conc.W_VEL (ppbV) Derived vertical velocity component Model.cmaq.listos.lis.metcro3d.DENS (kg_m-3) density of air (dry) Model.cmaq.listos.lis.metcro3d.DENSA_J (kg_m-2) J-weighted air density (dry) scaled by MSFX2 Model.cmaq.listos.lis.metcro3d.JACOBF (m) Jacobian at layer face scaled by MSFX2 Model.cmaq.listos.lis.metcro3d.JACOBM (m) Jacobian at layer middle scaled by MSFX2 Model.cmaq.listos.lis.metcro3d.PRES (Pa) pressure Model.cmaq.listos.lis.metcro3d.QC (kg_kg-1) Cloud water mixing ratio Model.cmaq.listos.lis.metcro3d.QG (kg_kg-1) Graupel mixing ratio Model.cmaq.listos.lis.metcro3d.QI (kg_kg-1) Ice mixing ratio Model.cmaq.listos.lis.metcro3d.QR (kg_kg-1) Rain water mixing ratio Model.cmaq.listos.lis.metcro3d.QS (kg_kg-1) Snow mixing ratio Model.cmaq.listos.lis.metcro3d.QV (kg_kg-1) water vapor mixing ratio Model.cmaq.listos.lis.metcro3d.TA (K) air temperature Model.cmaq.listos.lis.metcro3d.WHAT_JD (kg_m-1_s-1) J- and density weighted vert contravariant-W Model.cmaq.listos.lis.metcro3d.ZF (m) full-layer height above ground Model.cmaq.listos.lis.metcro3d.ZH (m) mid-layer height above ground Model.cmaq.listos.lis.metdot3d.UWIND (m_s-1) U-comp. of true wind at dot point Model.cmaq.listos.lis.metdot3d.VWIND (m_s-1) V-comp. of true wind at dot point Model.cmaq.listos.lis.metdot3d.WIND (m_s-1) U,V,W-comp. of true wind at dot point Model.cmaq.oaqps.conus.aconc.AFEJ (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Iron PMF_FE Model.cmaq.oaqps.conus.aconc.AIR_DENS (kg m-3) 1 level(s) of CMAQ modeled Air Density Model.cmaq.oaqps.conus.aconc.ALD2 (ppbV) 1 level(s) of CMAQ modeled Acetaldehyde Model.cmaq.oaqps.conus.aconc.AORGAJ (ug m-3) 1 level(s) of CMAQ modeled PMF_ASOA[3] Model.cmaq.oaqps.conus.aconc.AORGBJ (ug m-3) 1 level(s) of CMAQ modeled PMF_BSOA[3] Model.cmaq.oaqps.conus.aconc.AUNSPEC1IJ (ug m-3) 1 level(s) of CMAQ modeled PMF_UN_IMPV1[3] Model.cmaq.oaqps.conus.aconc.AUNSPEC2IJ (ug m-3) 1 level(s) of CMAQ modeled PMF_UN_IMPV2[3] Model.cmaq.oaqps.conus.aconc.BENZENE (ppbV) 1 level(s) of CMAQ modeled Benzene Model.cmaq.oaqps.conus.aconc.CO (ppbV) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.oaqps.conus.aconc.ETH (ppbV) 1 level(s) of CMAQ modeled Ethene Model.cmaq.oaqps.conus.aconc.ETHA (ppbV) 1 level(s) of CMAQ modeled Ethane Model.cmaq.oaqps.conus.aconc.FORM (ppbV) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.oaqps.conus.aconc.H2O2 (ppbV) 1 level(s) of CMAQ modeled Hydrogen Peroxide Model.cmaq.oaqps.conus.aconc.HNO3 (ppbV) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.oaqps.conus.aconc.HNO3_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Nitric Acid (concentration) Model.cmaq.oaqps.conus.aconc.HONO (ppbV) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.oaqps.conus.aconc.HOX (ppbV) 1 level(s) of CMAQ modeled Hydroxyl Radical (OH) + Hydroperoxy Radical (HO2) Model.cmaq.oaqps.conus.aconc.ISOP (ppbV) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.oaqps.conus.aconc.N2O5 (ppbV) 1 level(s) of CMAQ modeled Dinitrogen Pentoxide Model.cmaq.oaqps.conus.aconc.NH3 (ppbV) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.oaqps.conus.aconc.NH3_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Ammonia (concentration) Model.cmaq.oaqps.conus.aconc.NHX (ug m-3) 1 level(s) of CMAQ modeled Inorganic Nitrogen (ammonia gas plus particulate ammonium) Model.cmaq.oaqps.conus.aconc.NO (ppbV) 1 level(s) of CMAQ modeled Nitric Oxide Model.cmaq.oaqps.conus.aconc.NO2 (ppbV) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.oaqps.conus.aconc.NOX (ppbV) 1 level(s) of CMAQ modeled Nitrogen Oxides (NO + NO2) Model.cmaq.oaqps.conus.aconc.NOY (ppbV) 1 level(s) of CMAQ modeled Total Reative Nitrogen (NO + NO2 + HNO3 + PAN + other organic nitrates) Model.cmaq.oaqps.conus.aconc.NTR (ppbV) 1 level(s) of CMAQ modeled Monofunctional Organic Nitrates (NTR1) + Multifunctional Organic Nitrates (NTR2) Model.cmaq.oaqps.conus.aconc.O3 (ppbV) 1 level(s) of CMAQ modeled Ozone Model.cmaq.oaqps.conus.aconc.OH (ppbV) 1 level(s) of CMAQ modeled Hydroxyl Radical Model.cmaq.oaqps.conus.aconc.PANS (ppbV) 1 level(s) of CMAQ modeled Peroxyacylnitrate (PAN) + peroxyacylnitrates with 3 or morecarbons (PANX) + pero Model.cmaq.oaqps.conus.aconc.PBLH (m) 1 level(s) of CMAQ modeled Planetary Boundary Layer Height Model.cmaq.oaqps.conus.aconc.PM1 (ug m-3) 1 level(s) of CMAQ modeled PM1 (sharp 1 micrometer cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM10 (ug m-3) 1 level(s) of CMAQ modeled Particulate Matter up to 10 micrometers in Size Model.cmaq.oaqps.conus.aconc.PM25 (ug m-3) 1 level(s) of CMAQ modeled PM25_UNSPCRS[3] Model.cmaq.oaqps.conus.aconc.PM25_CA (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Calcium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_CL (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Chloride (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_EC (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Elemental Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_FRM (ug m-3) 1 level(s) of CMAQ modeled FRM Equivalent PM2.5 (computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_HP (ug m-3) 1 level(s) of CMAQ modeled Hydronium Ion (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_K (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Potassium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_MG (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Magnesium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_NA (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Sodium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_NH4 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Ammonium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_NO3 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Nitrate (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_OC (ugC m-3) 1 level(s) of CMAQ modeled PM2.5 Organic Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_OM (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Organic Matter (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_SO4 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Sulfate (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25_SOIL (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Lumped Crustal Species (sharp cutoff computed using modeled size distribut Model.cmaq.oaqps.conus.aconc.PM25_UNSPCRS (ug m-3) 1 level(s) of CMAQ modeled Other PM2.5 Species (Total - (CL+EC+NA+NH4+NO3+OC+SOIL+SO4)) Model.cmaq.oaqps.conus.aconc.PM25_UNSPEC1 (ug m-3) 1 level(s) of CMAQ modeled Total PM2.5 (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.aconc.PM25to10 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Particulate Matter (Total PM - PM25_TOT) Model.cmaq.oaqps.conus.aconc.PM25to10_CL (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Chlorine (Total CL - PM25_CL) Model.cmaq.oaqps.conus.aconc.PM25to10_NA (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Sodium (Total NA - PM25_NA) Model.cmaq.oaqps.conus.aconc.PM25to10_NH4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Ammonium (Total NH4 - PM25_NH4) Model.cmaq.oaqps.conus.aconc.PM25to10_NO3 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Nitrate (Total Particle NO3 - PM25_NO3) Model.cmaq.oaqps.conus.aconc.PM25to10_SO4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Sulfate (Total Particle SO4 - PM25_SO4) Model.cmaq.oaqps.conus.aconc.PMACC_MASS (ug m-3) 1 level(s) of CMAQ modeled Accumulation Particle Mass Model.cmaq.oaqps.conus.aconc.PMAIT_MASS (ug m-3) 1 level(s) of CMAQ modeled Aitken Particle Mass Model.cmaq.oaqps.conus.aconc.PMAMS_CL (ug m-3) 1 level(s) of CMAQ modeled PMAMS_CL[3] Model.cmaq.oaqps.conus.aconc.PMAMS_NH4 (ug m-3) 1 level(s) of CMAQ modeled PMAMS_NH4[3] Model.cmaq.oaqps.conus.aconc.PMAMS_NO3 (ug m-3) 1 level(s) of CMAQ modeled PMAMS_NO3[3] Model.cmaq.oaqps.conus.aconc.PMAMS_OA (ug m-3) 1 level(s) of CMAQ modeled PMAMS_OA[3] Model.cmaq.oaqps.conus.aconc.PMAMS_SO4 (ug m-3) 1 level(s) of CMAQ modeled PMAMS_SO4[3] Model.cmaq.oaqps.conus.aconc.PMC_CA (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Calcium Model.cmaq.oaqps.conus.aconc.PMC_K (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Potassium Model.cmaq.oaqps.conus.aconc.PMC_MASS (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Mass Model.cmaq.oaqps.conus.aconc.PMC_MG (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Magnesium Model.cmaq.oaqps.conus.aconc.PMC_NA (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Sodium Model.cmaq.oaqps.conus.aconc.PMC_NH4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Ammonium Model.cmaq.oaqps.conus.aconc.PMC_NO3 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Nitrate Model.cmaq.oaqps.conus.aconc.PMC_SO4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Sulfate Model.cmaq.oaqps.conus.aconc.PMF_AL (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Aluminum Model.cmaq.oaqps.conus.aconc.PMF_CA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Calcium Model.cmaq.oaqps.conus.aconc.PMF_CL (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Chloride Model.cmaq.oaqps.conus.aconc.PMF_CLDGLY (ug m-3) 1 level(s) of CMAQ modeled Glyoxal and methylglyoxal SOA produced in cloud water Model.cmaq.oaqps.conus.aconc.PMF_EC (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Elemental Carbon Model.cmaq.oaqps.conus.aconc.PMF_FRM (ug m-3) 1 level(s) of CMAQ modeled FRM Equivalent Particulate Matter (Fine Mode) Model.cmaq.oaqps.conus.aconc.PMF_HPLUS (umol m-3) 1 level(s) of CMAQ modeled Fine Particle Hydronium Ion Model.cmaq.oaqps.conus.aconc.PMF_K (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Potassium Model.cmaq.oaqps.conus.aconc.PMF_MASS (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Mass Model.cmaq.oaqps.conus.aconc.PMF_MG (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Magnesium Model.cmaq.oaqps.conus.aconc.PMF_MN (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Manganese Model.cmaq.oaqps.conus.aconc.PMF_NA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Sodium Model.cmaq.oaqps.conus.aconc.PMF_NCOM (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Non-Carbon Organic Mass (OM - OC) Model.cmaq.oaqps.conus.aconc.PMF_NH4 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Ammonium Model.cmaq.oaqps.conus.aconc.PMF_NO3 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Nitrate Model.cmaq.oaqps.conus.aconc.PMF_NO3_PPB (ppbV) 1 level(s) of CMAQ modeled Fine Particle Nitrate (mixing ratio) Model.cmaq.oaqps.conus.aconc.PMF_OC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Organic Carbon (C only) Model.cmaq.oaqps.conus.aconc.PMF_OM (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Organic Matter (C,H,O,N, etc) Model.cmaq.oaqps.conus.aconc.PMF_OMOC (ug ug-1) 1 level(s) of CMAQ modeled Fine Particle OM/OC Ratio Model.cmaq.oaqps.conus.aconc.PMF_POA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Primary Organic Matter Model.cmaq.oaqps.conus.aconc.PMF_POC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Primary Organic Carbon Model.cmaq.oaqps.conus.aconc.PMF_SI (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Silicon Model.cmaq.oaqps.conus.aconc.PMF_SO4 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Sulfate Model.cmaq.oaqps.conus.aconc.PMF_SOA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Secondary Organic Matter Model.cmaq.oaqps.conus.aconc.PMF_SOC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Secondary Organic Carbon Model.cmaq.oaqps.conus.aconc.PMF_SOIL_IMPV (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Lumped Crustal Species calculated with IMPROVE method Model.cmaq.oaqps.conus.aconc.PMF_TI (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Titanium Model.cmaq.oaqps.conus.aconc.PM_MASS (ug m-3) 1 level(s) of CMAQ modeled Total Particle Mass Model.cmaq.oaqps.conus.aconc.RH (%) 1 level(s) of CMAQ modeled Relative Humidity Model.cmaq.oaqps.conus.aconc.SFC_TMP (C) 1 level(s) of CMAQ modeled Surface Temperature Model.cmaq.oaqps.conus.aconc.SO2 (ppbV) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.oaqps.conus.aconc.SO2_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Sulfur Dioxide (concentration) Model.cmaq.oaqps.conus.aconc.SOL_RAD (W m-2) 1 level(s) of CMAQ modeled Solar Radiation Model.cmaq.oaqps.conus.aconc.TERP (ppbV) 1 level(s) of CMAQ modeled Monoterpenes Model.cmaq.oaqps.conus.aconc.TNO3 (ug m-3) 1 level(s) of CMAQ modeled Total Nitrate Model.cmaq.oaqps.conus.aconc.TOL (ppbV) 1 level(s) of CMAQ modeled Toluene and Other Monoalkyl Aromatics Model.cmaq.oaqps.conus.aconc.WDIR10 (deg) 1 level(s) of CMAQ modeled 10-m Wind Speed Model.cmaq.oaqps.conus.aconc.WSPD10 (m s-1) 1 level(s) of CMAQ modeled 10-m Wind Direction Model.cmaq.oaqps.conus.aconc.XYL (ppbV) 1 level(s) of CMAQ modeled Xylene and Other Polyalkyl Aromatics except Naphthalene Model.cmaq.oaqps.conus.aconc.precip (cm) 1 level(s) of CMAQ modeled Precipitation Model.cmaq.oaqps.conus.conc.CO (ppbV) 35 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.oaqps.conus.conc.FORM (ppbV) 35 level(s) of CMAQ modeled Formaldehyde Model.cmaq.oaqps.conus.conc.NH3 (ppbV) 35 level(s) of CMAQ modeled Ammonia Model.cmaq.oaqps.conus.conc.NO2 (ppbV) 35 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.oaqps.conus.conc.O3 (ppbV) 35 level(s) of CMAQ modeled Ozone Model.cmaq.oaqps.conus.conc.PRES (Pa) 35 level(s) of CMAQ modeled Air Pressure Model.cmaq.oaqps.conus.conc.RH (%) 35 level(s) of CMAQ modeled Relative Humidity Model.cmaq.oaqps.conus.conc.SO2 (ppbV) 35 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.oaqps.conus.conc.TA (K) 35 level(s) of CMAQ modeled Air Temperature Model.cmaq.oaqps.conus.dep.AFEJ (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Iron PMF_FE Model.cmaq.oaqps.conus.dep.AIR_DENS (kg m-3) 1 level(s) of CMAQ modeled Air Density Model.cmaq.oaqps.conus.dep.ALD2 (ppbV) 1 level(s) of CMAQ modeled Acetaldehyde Model.cmaq.oaqps.conus.dep.AORGAJ (ug m-3) 1 level(s) of CMAQ modeled PMF_ASOA3 Model.cmaq.oaqps.conus.dep.AORGBJ (ug m-3) 1 level(s) of CMAQ modeled PMF_BSOA3 Model.cmaq.oaqps.conus.dep.AUNSPEC1IJ (ug m-3) 1 level(s) of CMAQ modeled PMF_UN_IMPV13 Model.cmaq.oaqps.conus.dep.AUNSPEC2IJ (ug m-3) 1 level(s) of CMAQ modeled PMF_UN_IMPV23 Model.cmaq.oaqps.conus.dep.BENZENE (ppbV) 1 level(s) of CMAQ modeled Benzene Model.cmaq.oaqps.conus.dep.CO (ppbV) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.oaqps.conus.dep.ETH (ppbV) 1 level(s) of CMAQ modeled Ethene Model.cmaq.oaqps.conus.dep.ETHA (ppbV) 1 level(s) of CMAQ modeled Ethane Model.cmaq.oaqps.conus.dep.FORM (ppbV) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.oaqps.conus.dep.H2O2 (ppbV) 1 level(s) of CMAQ modeled Hydrogen Peroxide Model.cmaq.oaqps.conus.dep.HNO3 (ppbV) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.oaqps.conus.dep.HNO3_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Nitric Acid (concentration) Model.cmaq.oaqps.conus.dep.HONO (ppbV) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.oaqps.conus.dep.HOX (ppbV) 1 level(s) of CMAQ modeled Hydroxyl Radical (OH) + Hydroperoxy Radical (HO2) Model.cmaq.oaqps.conus.dep.ISOP (ppbV) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.oaqps.conus.dep.N2O5 (ppbV) 1 level(s) of CMAQ modeled Dinitrogen Pentoxide Model.cmaq.oaqps.conus.dep.NH3 (ppbV) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.oaqps.conus.dep.NH3_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Ammonia (concentration) Model.cmaq.oaqps.conus.dep.NHX (ug m-3) 1 level(s) of CMAQ modeled Inorganic Nitrogen (ammonia gas plus particulate ammonium) Model.cmaq.oaqps.conus.dep.NO (ppbV) 1 level(s) of CMAQ modeled Nitric Oxide Model.cmaq.oaqps.conus.dep.NO2 (ppbV) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.oaqps.conus.dep.NOX (ppbV) 1 level(s) of CMAQ modeled Nitrogen Oxides (NO + NO2) Model.cmaq.oaqps.conus.dep.NOY (ppbV) 1 level(s) of CMAQ modeled Total Reative Nitrogen (NO + NO2 + HNO3 + PAN + other organic nitrates) Model.cmaq.oaqps.conus.dep.NTR (ppbV) 1 level(s) of CMAQ modeled Monofunctional Organic Nitrates (NTR1) + Multifunctional Organic Nitrates (NTR2) Model.cmaq.oaqps.conus.dep.O3 (ppbV) 1 level(s) of CMAQ modeled Ozone Model.cmaq.oaqps.conus.dep.OH (ppbV) 1 level(s) of CMAQ modeled Hydroxyl Radical Model.cmaq.oaqps.conus.dep.PANS (ppbV) 1 level(s) of CMAQ modeled Peroxyacylnitrate (PAN) + peroxyacylnitrates with 3 or morecarbons (PANX) + pero Model.cmaq.oaqps.conus.dep.PBLH (m) 1 level(s) of CMAQ modeled Planetary Boundary Layer Height Model.cmaq.oaqps.conus.dep.PM1 (ug m-3) 1 level(s) of CMAQ modeled PM1 (sharp 1 micrometer cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM10 (ug m-3) 1 level(s) of CMAQ modeled Particulate Matter up to 10 micrometers in Size Model.cmaq.oaqps.conus.dep.PM25 (ug m-3) 1 level(s) of CMAQ modeled Total PM2.5 (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_CA (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Calcium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_CL (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Chloride (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_EC (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Elemental Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_FRM (ug m-3) 1 level(s) of CMAQ modeled FRM Equivalent PM2.5 (computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_HP (ug m-3) 1 level(s) of CMAQ modeled Hydronium Ion (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_K (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Potassium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_MG (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Magnesium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_NA (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Sodium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_NH4 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Ammonium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_NO3 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Nitrate (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_OC (ugC m-3) 1 level(s) of CMAQ modeled PM2.5 Organic Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_OM (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Organic Matter (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_SO4 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Sulfate (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.dep.PM25_SOIL (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Lumped Crustal Species (sharp cutoff computed using modeled size distribut Model.cmaq.oaqps.conus.dep.PM25_UNSPCRS (ug m-3) 1 level(s) of CMAQ modeled PM25_UNSPCRS3 Model.cmaq.oaqps.conus.dep.PM25_UNSPEC1 (ug m-3) 1 level(s) of CMAQ modeled Other PM2.5 Species (Total - (CL+EC+NA+NH4+NO3+OC+SOIL+SO4)) Model.cmaq.oaqps.conus.dep.PM25to10 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Particulate Matter (Total PM - PM25_TOT) Model.cmaq.oaqps.conus.dep.PM25to10_CL (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Chlorine (Total CL - PM25_CL) Model.cmaq.oaqps.conus.dep.PM25to10_NA (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Sodium (Total NA - PM25_NA) Model.cmaq.oaqps.conus.dep.PM25to10_NH4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Ammonium (Total NH4 - PM25_NH4) Model.cmaq.oaqps.conus.dep.PM25to10_NO3 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Nitrate (Total Particle NO3 - PM25_NO3) Model.cmaq.oaqps.conus.dep.PM25to10_SO4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Sulfate (Total Particle SO4 - PM25_SO4) Model.cmaq.oaqps.conus.dep.PMACC_MASS (ug m-3) 1 level(s) of CMAQ modeled Accumulation Particle Mass Model.cmaq.oaqps.conus.dep.PMAIT_MASS (ug m-3) 1 level(s) of CMAQ modeled Aitken Particle Mass Model.cmaq.oaqps.conus.dep.PMAMS_CL (ug m-3) 1 level(s) of CMAQ modeled PMAMS_CL3 Model.cmaq.oaqps.conus.dep.PMAMS_NH4 (ug m-3) 1 level(s) of CMAQ modeled PMAMS_NH43 Model.cmaq.oaqps.conus.dep.PMAMS_NO3 (ug m-3) 1 level(s) of CMAQ modeled PMAMS_NO33 Model.cmaq.oaqps.conus.dep.PMAMS_OA (ug m-3) 1 level(s) of CMAQ modeled PMAMS_OA3 Model.cmaq.oaqps.conus.dep.PMAMS_SO4 (ug m-3) 1 level(s) of CMAQ modeled PMAMS_SO43 Model.cmaq.oaqps.conus.dep.PMC_CA (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Calcium Model.cmaq.oaqps.conus.dep.PMC_K (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Potassium Model.cmaq.oaqps.conus.dep.PMC_MASS (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Mass Model.cmaq.oaqps.conus.dep.PMC_MG (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Magnesium Model.cmaq.oaqps.conus.dep.PMC_NA (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Sodium Model.cmaq.oaqps.conus.dep.PMC_NH4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Ammonium Model.cmaq.oaqps.conus.dep.PMC_NO3 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Nitrate Model.cmaq.oaqps.conus.dep.PMC_SO4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Sulfate Model.cmaq.oaqps.conus.dep.PMF_AL (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Aluminum Model.cmaq.oaqps.conus.dep.PMF_CA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Calcium Model.cmaq.oaqps.conus.dep.PMF_CL (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Chloride Model.cmaq.oaqps.conus.dep.PMF_CLDGLY (ug m-3) 1 level(s) of CMAQ modeled Glyoxal and methylglyoxal SOA produced in cloud water Model.cmaq.oaqps.conus.dep.PMF_EC (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Elemental Carbon Model.cmaq.oaqps.conus.dep.PMF_FRM (ug m-3) 1 level(s) of CMAQ modeled FRM Equivalent Particulate Matter (Fine Mode) Model.cmaq.oaqps.conus.dep.PMF_HPLUS (umol m-3) 1 level(s) of CMAQ modeled Fine Particle Hydronium Ion Model.cmaq.oaqps.conus.dep.PMF_K (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Potassium Model.cmaq.oaqps.conus.dep.PMF_MASS (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Mass Model.cmaq.oaqps.conus.dep.PMF_MG (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Magnesium Model.cmaq.oaqps.conus.dep.PMF_MN (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Manganese Model.cmaq.oaqps.conus.dep.PMF_NA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Sodium Model.cmaq.oaqps.conus.dep.PMF_NCOM (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Non-Carbon Organic Mass (OM - OC) Model.cmaq.oaqps.conus.dep.PMF_NH4 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Ammonium Model.cmaq.oaqps.conus.dep.PMF_NO3 (ppbV) 1 level(s) of CMAQ modeled Fine Particle Nitrate Model.cmaq.oaqps.conus.dep.PMF_NO3_PPB (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Nitrate (mixing ratio) Model.cmaq.oaqps.conus.dep.PMF_OC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Organic Carbon (C only) Model.cmaq.oaqps.conus.dep.PMF_OM (ug ug-1) 1 level(s) of CMAQ modeled Fine Particle Organic Matter (C,H,O,N, etc) Model.cmaq.oaqps.conus.dep.PMF_OMOC (ug m-3) 1 level(s) of CMAQ modeled Fine Particle OM/OC Ratio Model.cmaq.oaqps.conus.dep.PMF_POA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Primary Organic Matter Model.cmaq.oaqps.conus.dep.PMF_POC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Primary Organic Carbon Model.cmaq.oaqps.conus.dep.PMF_SI (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Silicon Model.cmaq.oaqps.conus.dep.PMF_SO4 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Sulfate Model.cmaq.oaqps.conus.dep.PMF_SOA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Secondary Organic Matter Model.cmaq.oaqps.conus.dep.PMF_SOC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Secondary Organic Carbon Model.cmaq.oaqps.conus.dep.PMF_SOIL_IMPV (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Lumped Crustal Species calculated with IMPROVE method Model.cmaq.oaqps.conus.dep.PMF_TI (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Titanium Model.cmaq.oaqps.conus.dep.PM_MASS (ug m-3) 1 level(s) of CMAQ modeled Total Particle Mass Model.cmaq.oaqps.conus.dep.RH (%) 1 level(s) of CMAQ modeled Relative Humidity Model.cmaq.oaqps.conus.dep.SFC_TMP (C) 1 level(s) of CMAQ modeled Surface Temperature Model.cmaq.oaqps.conus.dep.SO2 (ppbV) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.oaqps.conus.dep.SO2_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Sulfur Dioxide (concentration) Model.cmaq.oaqps.conus.dep.SOL_RAD (W m-2) 1 level(s) of CMAQ modeled Solar Radiation Model.cmaq.oaqps.conus.dep.TERP (ppbV) 1 level(s) of CMAQ modeled Monoterpenes Model.cmaq.oaqps.conus.dep.TNO3 (ug m-3) 1 level(s) of CMAQ modeled Total Nitrate Model.cmaq.oaqps.conus.dep.TOL (ppbV) 1 level(s) of CMAQ modeled Toluene and Other Monoalkyl Aromatics Model.cmaq.oaqps.conus.dep.WDIR10 (deg) 1 level(s) of CMAQ modeled 10-m Wind Speed Model.cmaq.oaqps.conus.dep.WSPD10 (m s-1) 1 level(s) of CMAQ modeled 10-m Wind Direction Model.cmaq.oaqps.conus.dep.XYL (ppbV) 1 level(s) of CMAQ modeled Xylene and Other Polyalkyl Aromatics except Naphthalene Model.cmaq.oaqps.conus.dep.precip (cm) 1 level(s) of CMAQ modeled Precipitation Model.cmaq.oaqps.conus.integrated.CO (ppbV) Vertical layer integrated CMAQ modeled Carbon Monoxide Model.cmaq.oaqps.conus.integrated.FORM (ppbV) Vertical layer integrated CMAQ modeled Formaldehyde Model.cmaq.oaqps.conus.integrated.NH3 (ppbV) Vertical layer integrated CMAQ modeled Ammonia Model.cmaq.oaqps.conus.integrated.NO2 (ppbV) Vertical layer integrated CMAQ modeled Nitrogen Dioxide Model.cmaq.oaqps.conus.integrated.O3 (ppbV) Vertical layer integrated CMAQ modeled Ozone Model.cmaq.oaqps.conus.integrated.SO2 (ppbV) Vertical layer integrated CMAQ modeled Sulfur Dioxide Model.cmaq.oaqps.conus.lstaconc.AFEJ (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Iron PMF_FE Model.cmaq.oaqps.conus.lstaconc.AIR_DENS (kg m-3) 1 level(s) of CMAQ modeled Air Density Model.cmaq.oaqps.conus.lstaconc.ALD2 (ppbV) 1 level(s) of CMAQ modeled Acetaldehyde Model.cmaq.oaqps.conus.lstaconc.AORGAJ (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.AORGBJ (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.AUNSPEC1IJ (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.AUNSPEC2IJ (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.BENZENE (ppbV) 1 level(s) of CMAQ modeled Benzene Model.cmaq.oaqps.conus.lstaconc.CO (ppbV) 1 level(s) of CMAQ modeled Carbon Monoxide Model.cmaq.oaqps.conus.lstaconc.ETH (ppbV) 1 level(s) of CMAQ modeled Ethene Model.cmaq.oaqps.conus.lstaconc.ETHA (ppbV) 1 level(s) of CMAQ modeled Ethane Model.cmaq.oaqps.conus.lstaconc.FORM (ppbV) 1 level(s) of CMAQ modeled Formaldehyde Model.cmaq.oaqps.conus.lstaconc.H2O2 (ppbV) 1 level(s) of CMAQ modeled Hydrogen Peroxide Model.cmaq.oaqps.conus.lstaconc.HNO3 (ppbV) 1 level(s) of CMAQ modeled Nitric Acid Model.cmaq.oaqps.conus.lstaconc.HNO3_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Nitric Acid (concentration) Model.cmaq.oaqps.conus.lstaconc.HONO (ppbV) 1 level(s) of CMAQ modeled Nitrous Acid Model.cmaq.oaqps.conus.lstaconc.HOX (ppbV) 1 level(s) of CMAQ modeled Hydroxyl Radical (OH) + Hydroperoxy Radical (HO2) Model.cmaq.oaqps.conus.lstaconc.ISOP (ppbV) 1 level(s) of CMAQ modeled Isoprene Model.cmaq.oaqps.conus.lstaconc.N2O5 (ppbV) 1 level(s) of CMAQ modeled Dinitrogen Pentoxide Model.cmaq.oaqps.conus.lstaconc.NH3 (ppbV) 1 level(s) of CMAQ modeled Ammonia Model.cmaq.oaqps.conus.lstaconc.NH3_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Ammonia (concentration) Model.cmaq.oaqps.conus.lstaconc.NHX (ug m-3) 1 level(s) of CMAQ modeled Inorganic Nitrogen (ammonia gas plus particulate ammonium) Model.cmaq.oaqps.conus.lstaconc.NO (ppbV) 1 level(s) of CMAQ modeled Nitric Oxide Model.cmaq.oaqps.conus.lstaconc.NO2 (ppbV) 1 level(s) of CMAQ modeled Nitrogen Dioxide Model.cmaq.oaqps.conus.lstaconc.NOX (ppbV) 1 level(s) of CMAQ modeled Nitrogen Oxides (NO + NO2) Model.cmaq.oaqps.conus.lstaconc.NOY (ppbV) 1 level(s) of CMAQ modeled Total Reative Nitrogen (NO + NO2 + HNO3 + PAN + other organic nitrates) Model.cmaq.oaqps.conus.lstaconc.NTR (ppbV) 1 level(s) of CMAQ modeled Monofunctional Organic Nitrates (NTR1) + Multifunctional Organic Nitrates (NTR2) Model.cmaq.oaqps.conus.lstaconc.O3 (ppbV) 1 level(s) of CMAQ modeled Ozone Model.cmaq.oaqps.conus.lstaconc.OH (ppbV) 1 level(s) of CMAQ modeled Hydroxyl Radical Model.cmaq.oaqps.conus.lstaconc.PANS (ppbV) 1 level(s) of CMAQ modeled Peroxyacylnitrate (PAN) + peroxyacylnitrates with 3 or morecarbons (PANX) + pero Model.cmaq.oaqps.conus.lstaconc.PBLH (m) 1 level(s) of CMAQ modeled Planetary Boundary Layer Height Model.cmaq.oaqps.conus.lstaconc.PM1 (ug m-3) 1 level(s) of CMAQ modeled PM1 (sharp 1 micrometer cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM10 (ug m-3) 1 level(s) of CMAQ modeled Particulate Matter up to 10 micrometers in Size Model.cmaq.oaqps.conus.lstaconc.PM25 (ug m-3) 1 level(s) of CMAQ modeled Total PM2.5 (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_CA (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Calcium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_CL (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Chloride (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_EC (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Elemental Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_FRM (ug m-3) 1 level(s) of CMAQ modeled FRM Equivalent PM2.5 (computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_HP (ug m-3) 1 level(s) of CMAQ modeled Hydronium Ion (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_K (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Potassium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_MG (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Magnesium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_NA (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Sodium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_NH4 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Ammonium (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_NO3 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Nitrate (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_OC (ugC m-3) 1 level(s) of CMAQ modeled PM2.5 Organic Carbon (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_OM (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Organic Matter (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_SO4 (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Sulfate (sharp cutoff computed using modeled size distribution) Model.cmaq.oaqps.conus.lstaconc.PM25_SOIL (ug m-3) 1 level(s) of CMAQ modeled PM2.5 Lumped Crustal Species (sharp cutoff computed using modeled size distribut Model.cmaq.oaqps.conus.lstaconc.PM25_UNSPCRS (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.PM25_UNSPEC1 (ug m-3) 1 level(s) of CMAQ modeled Other PM2.5 Species (Total - (CL+EC+NA+NH4+NO3+OC+SOIL+SO4)) Model.cmaq.oaqps.conus.lstaconc.PM25to10 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Sulfate (Total Particle SO4 - PM25_SO4) Model.cmaq.oaqps.conus.lstaconc.PM25to10_CL (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Chlorine (Total CL - PM25_CL) Model.cmaq.oaqps.conus.lstaconc.PM25to10_NA (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Particulate Matter (Total PM - PM25_TOT) Model.cmaq.oaqps.conus.lstaconc.PM25to10_NH4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Sodium (Total NA - PM25_NA) Model.cmaq.oaqps.conus.lstaconc.PM25to10_NO3 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Ammonium (Total NH4 - PM25_NH4) Model.cmaq.oaqps.conus.lstaconc.PM25to10_SO4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Mode Nitrate (Total Particle NO3 - PM25_NO3) Model.cmaq.oaqps.conus.lstaconc.PMACC_MASS (ug m-3) 1 level(s) of CMAQ modeled Accumulation Particle Mass Model.cmaq.oaqps.conus.lstaconc.PMAIT_MASS (ug m-3) 1 level(s) of CMAQ modeled Aitken Particle Mass Model.cmaq.oaqps.conus.lstaconc.PMAMS_CL (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.PMAMS_NH4 (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.PMAMS_NO3 (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.PMAMS_OA (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.PMAMS_SO4 (ug m-3) 1 level(s) of CMAQ modeled Daily-average Model.cmaq.oaqps.conus.lstaconc.PMC_CA (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Calcium Model.cmaq.oaqps.conus.lstaconc.PMC_K (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Potassium Model.cmaq.oaqps.conus.lstaconc.PMC_MASS (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Mass Model.cmaq.oaqps.conus.lstaconc.PMC_MG (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Magnesium Model.cmaq.oaqps.conus.lstaconc.PMC_NA (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Sodium Model.cmaq.oaqps.conus.lstaconc.PMC_NH4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Ammonium Model.cmaq.oaqps.conus.lstaconc.PMC_NO3 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Nitrate Model.cmaq.oaqps.conus.lstaconc.PMC_SO4 (ug m-3) 1 level(s) of CMAQ modeled Coarse Particle Sulfate Model.cmaq.oaqps.conus.lstaconc.PMF_AL (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Aluminum Model.cmaq.oaqps.conus.lstaconc.PMF_CA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Calcium Model.cmaq.oaqps.conus.lstaconc.PMF_CL (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Chloride Model.cmaq.oaqps.conus.lstaconc.PMF_CLDGLY (ug m-3) 1 level(s) of CMAQ modeled Glyoxal and methylglyoxal SOA produced in cloud water Model.cmaq.oaqps.conus.lstaconc.PMF_EC (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Elemental Carbon Model.cmaq.oaqps.conus.lstaconc.PMF_FRM (ug m-3) 1 level(s) of CMAQ modeled FRM Equivalent Particulate Matter (Fine Mode) Model.cmaq.oaqps.conus.lstaconc.PMF_HPLUS (umol m-3) 1 level(s) of CMAQ modeled Fine Particle Hydronium Ion Model.cmaq.oaqps.conus.lstaconc.PMF_K (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Potassium Model.cmaq.oaqps.conus.lstaconc.PMF_MASS (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Mass Model.cmaq.oaqps.conus.lstaconc.PMF_MG (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Magnesium Model.cmaq.oaqps.conus.lstaconc.PMF_MN (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Manganese Model.cmaq.oaqps.conus.lstaconc.PMF_NA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Sodium Model.cmaq.oaqps.conus.lstaconc.PMF_NCOM (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Non-Carbon Organic Mass (OM - OC) Model.cmaq.oaqps.conus.lstaconc.PMF_NH4 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Ammonium Model.cmaq.oaqps.conus.lstaconc.PMF_NO3 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Nitrate (mixing ratio) Model.cmaq.oaqps.conus.lstaconc.PMF_NO3_PPB (ppbV) 1 level(s) of CMAQ modeled Fine Particle Nitrate Model.cmaq.oaqps.conus.lstaconc.PMF_OC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Organic Carbon (C only) Model.cmaq.oaqps.conus.lstaconc.PMF_OM (ug m-3) 1 level(s) of CMAQ modeled Fine Particle OM/OC Ratio Model.cmaq.oaqps.conus.lstaconc.PMF_OMOC (ug ug-1) 1 level(s) of CMAQ modeled Fine Particle Organic Matter (C,H,O,N, etc) Model.cmaq.oaqps.conus.lstaconc.PMF_POA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Primary Organic Matter Model.cmaq.oaqps.conus.lstaconc.PMF_POC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Primary Organic Carbon Model.cmaq.oaqps.conus.lstaconc.PMF_SI (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Silicon Model.cmaq.oaqps.conus.lstaconc.PMF_SO4 (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Sulfate Model.cmaq.oaqps.conus.lstaconc.PMF_SOA (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Secondary Organic Matter Model.cmaq.oaqps.conus.lstaconc.PMF_SOC (ugC m-3) 1 level(s) of CMAQ modeled Fine Particle Secondary Organic Carbon Model.cmaq.oaqps.conus.lstaconc.PMF_SOIL_IMPV (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Lumped Crustal Species calculated with IMPROVE method Model.cmaq.oaqps.conus.lstaconc.PMF_TI (ug m-3) 1 level(s) of CMAQ modeled Fine Particle Titanium Model.cmaq.oaqps.conus.lstaconc.PM_MASS (ug m-3) 1 level(s) of CMAQ modeled Total Particle Mass Model.cmaq.oaqps.conus.lstaconc.RH (%) 1 level(s) of CMAQ modeled Relative Humidity Model.cmaq.oaqps.conus.lstaconc.SFC_TMP (C) 1 level(s) of CMAQ modeled Surface Temperature Model.cmaq.oaqps.conus.lstaconc.SO2 (ppbV) 1 level(s) of CMAQ modeled Sulfur Dioxide Model.cmaq.oaqps.conus.lstaconc.SO2_UGM3 (ug m-3) 1 level(s) of CMAQ modeled Sulfur Dioxide (concentration) Model.cmaq.oaqps.conus.lstaconc.SOL_RAD (W m-2) 1 level(s) of CMAQ modeled Solar Radiation Model.cmaq.oaqps.conus.lstaconc.TERP (ppbV) 1 level(s) of CMAQ modeled Monoterpenes Model.cmaq.oaqps.conus.lstaconc.TNO3 (ug m-3) 1 level(s) of CMAQ modeled Total Nitrate Model.cmaq.oaqps.conus.lstaconc.TOL (ppbV) 1 level(s) of CMAQ modeled Toluene and Other Monoalkyl Aromatics Model.cmaq.oaqps.conus.lstaconc.WDIR10 (deg) 1 level(s) of CMAQ modeled 10-m Wind Speed Model.cmaq.oaqps.conus.lstaconc.WSPD10 (m s-1) 1 level(s) of CMAQ modeled 10-m Wind Direction Model.cmaq.oaqps.conus.lstaconc.XYL (ppbV) 1 level(s) of CMAQ modeled Xylene and Other Polyalkyl Aromatics except Naphthalene Model.cmaq.oaqps.conus.lstaconc.precip (cm) 1 level(s) of CMAQ modeled Precipitation Model.cmaq.oaqps.conus.metcro3d.CLDFRA_DP (-) 35 level(s) of CMAQ modeled subgrid deep cloud fraction Model.cmaq.oaqps.conus.metcro3d.CLDFRA_SH (-) 35 level(s) of CMAQ modeled subgrid shallow cloud fraction Model.cmaq.oaqps.conus.metcro3d.DENS (kg m-3) 35 level(s) of CMAQ modeled density of air (dry) Model.cmaq.oaqps.conus.metcro3d.DENSA_J (kg m-2) 35 level(s) of CMAQ modeled J-weighted air density (dry) scaled by MSFX2 Model.cmaq.oaqps.conus.metcro3d.JACOBF (m) 35 level(s) of CMAQ modeled Jacobian at layer face scaled by MSFX2 Model.cmaq.oaqps.conus.metcro3d.JACOBM (m) 35 level(s) of CMAQ modeled Jacobian at layer middle scaled by MSFX2 Model.cmaq.oaqps.conus.metcro3d.PRES (Pa) 35 level(s) of CMAQ modeled pressure Model.cmaq.oaqps.conus.metcro3d.PV (m2 K mg-1 s-1) 35 level(s) of CMAQ modeled potential vorticity (m2 K kg-1 s-1 * E-6) Model.cmaq.oaqps.conus.metcro3d.QC (kg kg-1) 35 level(s) of CMAQ modeled subgrid cloud water mixing ratio from KF Model.cmaq.oaqps.conus.metcro3d.QC_CU (kg kg-1) 35 level(s) of CMAQ modeled Cloud water mixing ratio Model.cmaq.oaqps.conus.metcro3d.QG (kg kg-1) 35 level(s) of CMAQ modeled Graupel mixing ratio Model.cmaq.oaqps.conus.metcro3d.QI (kg kg-1) 35 level(s) of CMAQ modeled Ice mixing ratio Model.cmaq.oaqps.conus.metcro3d.QI_CU (kg kg-1) 35 level(s) of CMAQ modeled subgrid cloud ice mixing ratio from KF Model.cmaq.oaqps.conus.metcro3d.QR (kg kg-1) 35 level(s) of CMAQ modeled Rain water mixing ratio Model.cmaq.oaqps.conus.metcro3d.QS (kg kg-1) 35 level(s) of CMAQ modeled Snow mixing ratio Model.cmaq.oaqps.conus.metcro3d.QV (kg kg-1) 35 level(s) of CMAQ modeled water vapor mixing ratio Model.cmaq.oaqps.conus.metcro3d.TA (K) 35 level(s) of CMAQ modeled air temperature Model.cmaq.oaqps.conus.metcro3d.WHAT_JD (kg m-1 s-1) 35 level(s) of CMAQ modeled J- and density weighted vert contravariant-W Model.cmaq.oaqps.conus.metcro3d.WWIND (m s-1) 35 level(s) of CMAQ modeled vertical velocity Model.cmaq.oaqps.conus.metcro3d.ZF (m) 35 level(s) of CMAQ modeled full-layer height above ground Model.cmaq.oaqps.conus.metcro3d.ZH (m) 35 level(s) of CMAQ modeled mid-layer height above ground Model.cmaq.oaqps.conus.metdot3d.UHAT_JD (kg m-1 s-1) 35 level(s) of CMAQ modeled (contravariant_U*Jacobian*Density) at square pt Model.cmaq.oaqps.conus.metdot3d.UWIND (m s-1) 35 level(s) of CMAQ modeled U-comp. of true wind at dot point Model.cmaq.oaqps.conus.metdot3d.UWINDC (m s-1) 35 level(s) of CMAQ modeled U-comp. of true wind at W-E faces Model.cmaq.oaqps.conus.metdot3d.VHAT_JD (kg m-1 s-1) 35 level(s) of CMAQ modeled (contravariant_V*Jacobian*Density) at triangle pt Model.cmaq.oaqps.conus.metdot3d.VWIND (m s-1) 35 level(s) of CMAQ modeled V-comp. of true wind at dot point Model.cmaq.oaqps.conus.metdot3d.VWINDC (m s-1) 35 level(s) of CMAQ modeled V-comp. of true wind at S-N faces Model.cmaq.read.file1 (-) Read a CMAQ file on local or remote host. Model.cmaq.read.file2 (-) Read a CMAQ file on local or remote host. Model.cmaq.read.file3 (-) Read a CMAQ file on local or remote host. Model.cmaq.read.file4 (-) Read a CMAQ file on local or remote host. Model.cmaq.read.file5 (-) Read a CMAQ file on local or remote host. Model.cmaq.wdt.conus.adep.ACAK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0320*ASEACAT[1]+0.0838*ASOIL[1]+0.0562*ACORS[1] Model.cmaq.wdt.conus.adep.ACAK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0320*ASEACAT[2]+0.0838*ASOIL[2]+0.0562*ACORS[2] Model.cmaq.wdt.conus.adep.AKK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0310*ASEACAT[1]+0.0242*ASOIL[1]+0.0176*ACORS[1] Model.cmaq.wdt.conus.adep.AKK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0310*ASEACAT[2]+0.0242*ASOIL[2]+0.0176*ACORS[2] Model.cmaq.wdt.conus.adep.AMGK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0997*ASEACAT[1]+0.0032*ACORS[1] Model.cmaq.wdt.conus.adep.AMGK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0997*ASEACAT[2]+0.0032*ACORS[2] Model.cmaq.wdt.conus.adep.ANAK_D (kg/ha) 1 level(s) of CMAQ modeled 0.8373*ASEACAT[1]+0.0626*ASOIL[1]+0.0023*ACORS[1] Model.cmaq.wdt.conus.adep.ANAK_W (kg/ha) 1 level(s) of CMAQ modeled 0.8373*ASEACAT[2]+0.0626*ASOIL[2]+0.0023*ACORS[2] Model.cmaq.wdt.conus.adep.DDEP_ACLJ (kg/ha) 1 level(s) of CMAQ modeled ACLJ[1] Model.cmaq.wdt.conus.adep.DDEP_ACLJK (kg/ha) 1 level(s) of CMAQ modeled ACLJ[1] + ACLK[1] Model.cmaq.wdt.conus.adep.DDEP_ACLK (kg/ha) 1 level(s) of CMAQ modeled ACLK[1] Model.cmaq.wdt.conus.adep.DDEP_AECIJ (kg/ha) 1 level(s) of CMAQ modeled AECI[1] +AECJ[1] Model.cmaq.wdt.conus.adep.DDEP_ALJ (kg/ha) 1 level(s) of CMAQ modeled AALJ[1] Model.cmaq.wdt.conus.adep.DDEP_ANAJ (kg/ha) 1 level(s) of CMAQ modeled ANAJ[1] Model.cmaq.wdt.conus.adep.DDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled ANAJ[1] + ANAK_D[0] Model.cmaq.wdt.conus.adep.DDEP_ANAK (kg/ha) 1 level(s) of CMAQ modeled ANAK_D[0] Model.cmaq.wdt.conus.adep.DDEP_ANH4IJ (kg/ha) 1 level(s) of CMAQ modeled ANH4I[1] + ANH4J[1] Model.cmaq.wdt.conus.adep.DDEP_ANH4K (kg/ha) 1 level(s) of CMAQ modeled ANH4K[1] Model.cmaq.wdt.conus.adep.DDEP_ANO3IJ (kg/ha) 1 level(s) of CMAQ modeled ANO3I[1] + ANO3J[1] Model.cmaq.wdt.conus.adep.DDEP_ANO3K (kg/ha) 1 level(s) of CMAQ modeled ANO3K[1] Model.cmaq.wdt.conus.adep.DDEP_AOCIJ (kg/ha) 1 level(s) of CMAQ modeled (AXYL1J[1]+AXYL2J[1]+AXYL3J[1])/2.0+(ATOL1J[1]+ATOL2J[1]+ATOL3J[1])/2.0+(ABNZ1J[ Model.cmaq.wdt.conus.adep.DDEP_ASO4IJ (kg/ha) 1 level(s) of CMAQ modeled ASO4I[1] + ASO4J[1] Model.cmaq.wdt.conus.adep.DDEP_ASO4K (kg/ha) 1 level(s) of CMAQ modeled ASO4K[1] Model.cmaq.wdt.conus.adep.DDEP_CAJ (kg/ha) 1 level(s) of CMAQ modeled ACAJ[1] Model.cmaq.wdt.conus.adep.DDEP_CAJK (kg/ha) 1 level(s) of CMAQ modeled ACAJ[1]+ACAK_D[0] Model.cmaq.wdt.conus.adep.DDEP_FEJ (kg/ha) 1 level(s) of CMAQ modeled AFEJ[1] Model.cmaq.wdt.conus.adep.DDEP_FORM (kg/ha) 1 level(s) of CMAQ modeled FORM[1] Model.cmaq.wdt.conus.adep.DDEP_H2O2 (kg/ha) 1 level(s) of CMAQ modeled H2O2[1] Model.cmaq.wdt.conus.adep.DDEP_HNO3 (kg/ha) 1 level(s) of CMAQ modeled HNO3[1] Model.cmaq.wdt.conus.adep.DDEP_HONO (kg/ha) 1 level(s) of CMAQ modeled HONO[1] Model.cmaq.wdt.conus.adep.DDEP_KJ (kg/ha) 1 level(s) of CMAQ modeled AKJ[1] Model.cmaq.wdt.conus.adep.DDEP_KJK (kg/ha) 1 level(s) of CMAQ modeled AKJ[1]+AKK_D[0] Model.cmaq.wdt.conus.adep.DDEP_MGJ (kg/ha) 1 level(s) of CMAQ modeled AMGJ[1] Model.cmaq.wdt.conus.adep.DDEP_MGJK (kg/ha) 1 level(s) of CMAQ modeled AMGJ[1]+AMGK_D[0] Model.cmaq.wdt.conus.adep.DDEP_MNJ (kg/ha) 1 level(s) of CMAQ modeled AMNJ[1] Model.cmaq.wdt.conus.adep.DDEP_N2O5 (kg/ha) 1 level(s) of CMAQ modeled N2O5[1] Model.cmaq.wdt.conus.adep.DDEP_NH3 (kg/ha) 1 level(s) of CMAQ modeled NH3[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Ag (kg/ha) 1 level(s) of CMAQ modeled NH3_Ag[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Cut (kg/ha) 1 level(s) of CMAQ modeled NH3_Cut[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Dep (kg/ha) 1 level(s) of CMAQ modeled NH3_Dep[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Emis (kg/ha) 1 level(s) of CMAQ modeled NH3_Emis[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Nat (kg/ha) 1 level(s) of CMAQ modeled NH3_Nat[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Soil (kg/ha) 1 level(s) of CMAQ modeled NH3_Soil[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Stom (kg/ha) 1 level(s) of CMAQ modeled NH3_Stom[1] Model.cmaq.wdt.conus.adep.DDEP_NH3_Wat (kg/ha) 1 level(s) of CMAQ modeled NH3_Wat[1] Model.cmaq.wdt.conus.adep.DDEP_NHX (kg/ha) 1 level(s) of CMAQ modeled ANH4I[1] + ANH4J[1] + ANH4K[1] + 1.059*NH3_Dep[1] Model.cmaq.wdt.conus.adep.DDEP_NO (kg/ha) 1 level(s) of CMAQ modeled NO[1] Model.cmaq.wdt.conus.adep.DDEP_NO2 (kg/ha) 1 level(s) of CMAQ modeled NO2[1] Model.cmaq.wdt.conus.adep.DDEP_NTR (kg/ha) 1 level(s) of CMAQ modeled NTR[1] Model.cmaq.wdt.conus.adep.DDEP_O3 (kg/ha) 1 level(s) of CMAQ modeled O3[1] Model.cmaq.wdt.conus.adep.DDEP_PANT (kg/ha) 1 level(s) of CMAQ modeled PAN[1] + PANX[1] + OPAN[1] Model.cmaq.wdt.conus.adep.DDEP_SIJ (kg/ha) 1 level(s) of CMAQ modeled ASIJ[1] Model.cmaq.wdt.conus.adep.DDEP_SO2 (kg/ha) 1 level(s) of CMAQ modeled SO2[1] Model.cmaq.wdt.conus.adep.DDEP_SSSO4J (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAJ[1] Model.cmaq.wdt.conus.adep.DDEP_SSSO4K (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAK_D[0] Model.cmaq.wdt.conus.adep.DDEP_TIJ (kg/ha) 1 level(s) of CMAQ modeled ATIJ[1] Model.cmaq.wdt.conus.adep.DDEP_TNO3 (kg/ha) 1 level(s) of CMAQ modeled ANO3I[1] + ANO3J[1] + ANO3K[1] + 0.984*HNO3[1] Model.cmaq.wdt.conus.adep.DD_OXN_NOX (kg/ha) 1 level(s) of CMAQ modeled 0.30435*NO2[1] + 0.46667*NO[1] Model.cmaq.wdt.conus.adep.DD_OXN_ORGN (kg/ha) 1 level(s) of CMAQ modeled 0.10770*NTR[1] Model.cmaq.wdt.conus.adep.DD_OXN_OTHR (kg/ha) 1 level(s) of CMAQ modeled 0.25926*N2O5[1] + 0.29787*HONO[1] Model.cmaq.wdt.conus.adep.DD_OXN_PANT (kg/ha) 1 level(s) of CMAQ modeled 0.11570*PAN[1] + 0.11570*PANX[1] + 0.11570*OPAN[1] Model.cmaq.wdt.conus.adep.DD_OXN_TNO3 (kg/ha) 1 level(s) of CMAQ modeled 0.22222*HNO3[1] + 0.22581*ANO3I[1] + 0.22581*ANO3J[1] + 0.22581*ANO3K[1] Model.cmaq.wdt.conus.adep.DD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_OXN_NOX[0] + DD_OXN_TNO3[0] + DD_OXN_PANT[0] + DD_OXN_ORGN[0] + DD_OXN_OTHR[0 Model.cmaq.wdt.conus.adep.DD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*DD_OXN_TOT[0] Model.cmaq.wdt.conus.adep.DD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.7777*DDEP_NHX[0] Model.cmaq.wdt.conus.adep.DD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*DD_REDN_TOT[0] Model.cmaq.wdt.conus.adep.DD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled 0.33333*DDEP_SSSO4J[0] + 0.33333*DDEP_SSSO4K[0] Model.cmaq.wdt.conus.adep.DD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*DD_S_SeaS[0] Model.cmaq.wdt.conus.adep.DD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.5*SO2[1] + 0.33333*ASO4I[1] + 0.33333*ASO4J[1] + 0.33333*ASO4K[1] Model.cmaq.wdt.conus.adep.DD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*DD_S_TOT[0] Model.cmaq.wdt.conus.adep.RT (cm) 1 level(s) of CMAQ modeled RN[3] + RC[3] Model.cmaq.wdt.conus.adep.TDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled DDEP_ANAJK[0] + WDEP_ANAJK[0] Model.cmaq.wdt.conus.adep.TDEP_CA (kg/ha) 1 level(s) of CMAQ modeled DDEP_CAJK[0]+WDEP_CAJK[0] Model.cmaq.wdt.conus.adep.TDEP_CL (kg/ha) 1 level(s) of CMAQ modeled DDEP_ACLJK[0] + WDEP_TCL[0] Model.cmaq.wdt.conus.adep.TDEP_K (kg/ha) 1 level(s) of CMAQ modeled DDEP_KJK[0]+WDEP_KJK[0] Model.cmaq.wdt.conus.adep.TDEP_MG (kg/ha) 1 level(s) of CMAQ modeled DDEP_MGJK[0]+WDEP_MGJK[0] Model.cmaq.wdt.conus.adep.TD_N_TOT (kg/ha) 1 level(s) of CMAQ modeled TD_OXN_TOT[0] + TD_REDN_TOT[0] Model.cmaq.wdt.conus.adep.TD_N_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled TD_OXN_TOTMEQ[0] + TD_REDN_TOTMEQ[0] Model.cmaq.wdt.conus.adep.TD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_OXN_TOT[0] + WD_OXN_TOT[0] Model.cmaq.wdt.conus.adep.TD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_OXN_TOTMEQ[0] + WD_OXN_TOTMEQ[0] Model.cmaq.wdt.conus.adep.TD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_REDN_TOT[0] + WD_REDN_TOT[0] Model.cmaq.wdt.conus.adep.TD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_REDN_TOTMEQ[0] + WD_REDN_TOTMEQ[0] Model.cmaq.wdt.conus.adep.TD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled DD_S_SeaS[0] + WD_S_SeaS[0] Model.cmaq.wdt.conus.adep.TD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_S_SeaSMEQ[0] + WD_S_SeaSMEQ[0] Model.cmaq.wdt.conus.adep.TD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_S_TOT[0] + WD_S_TOT[0] Model.cmaq.wdt.conus.adep.TD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_S_TOTMEQ[0] + WD_S_TOTMEQ[0] Model.cmaq.wdt.conus.adep.WDEP_ALJ (kg/ha) 1 level(s) of CMAQ modeled AALJ[2] Model.cmaq.wdt.conus.adep.WDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled ANAJ[2] + ANAK_W[0] Model.cmaq.wdt.conus.adep.WDEP_ANH4IJK (kg/ha) 1 level(s) of CMAQ modeled ANH4I[2] + ANH4J[2] + ANH4K[2] Model.cmaq.wdt.conus.adep.WDEP_ANO3IJK (kg/ha) 1 level(s) of CMAQ modeled ANO3I[2] + ANO3J[2] + ANO3K[2] Model.cmaq.wdt.conus.adep.WDEP_ASO4IJK (kg/ha) 1 level(s) of CMAQ modeled ASO4I[2] + ASO4J[2] + ASO4K[2] Model.cmaq.wdt.conus.adep.WDEP_CAJ (kg/ha) 1 level(s) of CMAQ modeled ACAJ[2] Model.cmaq.wdt.conus.adep.WDEP_CAJK (kg/ha) 1 level(s) of CMAQ modeled ACAJ[2]+ACAK_W[0] Model.cmaq.wdt.conus.adep.WDEP_FEJ (kg/ha) 1 level(s) of CMAQ modeled AFEJ[2] Model.cmaq.wdt.conus.adep.WDEP_FORM (kg/ha) 1 level(s) of CMAQ modeled FORM[2] Model.cmaq.wdt.conus.adep.WDEP_H2O2 (kg/ha) 1 level(s) of CMAQ modeled H2O2[2] Model.cmaq.wdt.conus.adep.WDEP_HNO3 (kg/ha) 1 level(s) of CMAQ modeled HNO3[2] Model.cmaq.wdt.conus.adep.WDEP_HONO (kg/ha) 1 level(s) of CMAQ modeled HONO[2] Model.cmaq.wdt.conus.adep.WDEP_KJ (kg/ha) 1 level(s) of CMAQ modeled AKJ[2] Model.cmaq.wdt.conus.adep.WDEP_KJK (kg/ha) 1 level(s) of CMAQ modeled AKJ[2]+AKK_D[0] Model.cmaq.wdt.conus.adep.WDEP_MGJ (kg/ha) 1 level(s) of CMAQ modeled AMGJ[2] Model.cmaq.wdt.conus.adep.WDEP_MGJK (kg/ha) 1 level(s) of CMAQ modeled AMGJ[2]+AMGK_W[0] Model.cmaq.wdt.conus.adep.WDEP_MNJ (kg/ha) 1 level(s) of CMAQ modeled AMNJ[2] Model.cmaq.wdt.conus.adep.WDEP_N2O5 (kg/ha) 1 level(s) of CMAQ modeled N2O5[2] Model.cmaq.wdt.conus.adep.WDEP_NH3 (kg/ha) 1 level(s) of CMAQ modeled NH3[2] Model.cmaq.wdt.conus.adep.WDEP_NHX (kg/ha) 1 level(s) of CMAQ modeled ANH4I[2] + ANH4J[2] + ANH4K[2] + 1.059*NH3[2] Model.cmaq.wdt.conus.adep.WDEP_NO (kg/ha) 1 level(s) of CMAQ modeled NO[2] Model.cmaq.wdt.conus.adep.WDEP_NO2 (kg/ha) 1 level(s) of CMAQ modeled NO2[2] Model.cmaq.wdt.conus.adep.WDEP_NTR (kg/ha) 1 level(s) of CMAQ modeled NTR[2] Model.cmaq.wdt.conus.adep.WDEP_O3 (kg/ha) 1 level(s) of CMAQ modeled O3[2] Model.cmaq.wdt.conus.adep.WDEP_PANT (kg/ha) 1 level(s) of CMAQ modeled PAN[2] + PANX[2] + OPAN[2] Model.cmaq.wdt.conus.adep.WDEP_PNA (kg/ha) 1 level(s) of CMAQ modeled PNA[2] Model.cmaq.wdt.conus.adep.WDEP_SIJ (kg/ha) 1 level(s) of CMAQ modeled ASIJ[2] Model.cmaq.wdt.conus.adep.WDEP_SSSO4JK (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAJ[2] + 0.19579876*ANAK_W[0] Model.cmaq.wdt.conus.adep.WDEP_TCL (kg/ha) 1 level(s) of CMAQ modeled 0.972*HCL[2] + ACLJ[2] + ACLK[2] Model.cmaq.wdt.conus.adep.WDEP_TIJ (kg/ha) 1 level(s) of CMAQ modeled ATIJ[2] Model.cmaq.wdt.conus.adep.WDEP_TNO3 (kg/ha) 1 level(s) of CMAQ modeled ANO3I[2] + ANO3J[2] + ANO3K[2] + 0.984*HNO3[2] Model.cmaq.wdt.conus.adep.WDEP_TSO4 (kg/ha) 1 level(s) of CMAQ modeled ASO4I[2] + ASO4J[2] + ASO4K[2] + 1.5*SO2[2] Model.cmaq.wdt.conus.adep.WD_OXN_NOX (kg/ha) 1 level(s) of CMAQ modeled 0.30435*NO2[2] + 0.46667*NO[2] Model.cmaq.wdt.conus.adep.WD_OXN_ORGN (kg/ha) 1 level(s) of CMAQ modeled 0.10770*NTR[2] Model.cmaq.wdt.conus.adep.WD_OXN_OTHR (kg/ha) 1 level(s) of CMAQ modeled 0.25926*N2O5[2] + 0.29787*HONO[2] + 0.177720*PNA[2] Model.cmaq.wdt.conus.adep.WD_OXN_PANT (kg/ha) 1 level(s) of CMAQ modeled 0.11570*PAN[2] + 0.11570*PANX[2] + 0.11570*OPAN[2] Model.cmaq.wdt.conus.adep.WD_OXN_TNO3 (kg/ha) 1 level(s) of CMAQ modeled 0.22581*WDEP_TNO3[0] Model.cmaq.wdt.conus.adep.WD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled WD_OXN_NOX[0] + WD_OXN_TNO3[0] + WD_OXN_PANT[0] + WD_OXN_ORGN[0] + WD_OXN_OTHR[0 Model.cmaq.wdt.conus.adep.WD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*WD_OXN_TOT[0] Model.cmaq.wdt.conus.adep.WD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.7777*WDEP_NHX[0] Model.cmaq.wdt.conus.adep.WD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*WD_REDN_TOT[0] Model.cmaq.wdt.conus.adep.WD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled 0.33333*WDEP_SSSO4JK[0] Model.cmaq.wdt.conus.adep.WD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*WD_S_SeaS[0] Model.cmaq.wdt.conus.adep.WD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.33333*WDEP_TSO4[0] Model.cmaq.wdt.conus.adep.WD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*WD_S_TOT[0] Model.cmaq.wdt.conus.ddep.ACAK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0320*ASEACAT[1]+0.0838*ASOIL[1]+0.0562*ACORS[1] Model.cmaq.wdt.conus.ddep.ACAK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0320*ASEACAT[2]+0.0838*ASOIL[2]+0.0562*ACORS[2] Model.cmaq.wdt.conus.ddep.AKK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0310*ASEACAT[1]+0.0242*ASOIL[1]+0.0176*ACORS[1] Model.cmaq.wdt.conus.ddep.AKK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0310*ASEACAT[2]+0.0242*ASOIL[2]+0.0176*ACORS[2] Model.cmaq.wdt.conus.ddep.AMGK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0997*ASEACAT[1]+0.0032*ACORS[1] Model.cmaq.wdt.conus.ddep.AMGK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0997*ASEACAT[2]+0.0032*ACORS[2] Model.cmaq.wdt.conus.ddep.ANAK_D (kg/ha) 1 level(s) of CMAQ modeled 0.8373*ASEACAT[1]+0.0626*ASOIL[1]+0.0023*ACORS[1] Model.cmaq.wdt.conus.ddep.ANAK_W (kg/ha) 1 level(s) of CMAQ modeled 0.8373*ASEACAT[2]+0.0626*ASOIL[2]+0.0023*ACORS[2] Model.cmaq.wdt.conus.ddep.DDEP_ACLJ (kg/ha) 1 level(s) of CMAQ modeled ACLJ[1] Model.cmaq.wdt.conus.ddep.DDEP_ACLJK (kg/ha) 1 level(s) of CMAQ modeled ACLJ[1] + ACLK[1] Model.cmaq.wdt.conus.ddep.DDEP_ACLK (kg/ha) 1 level(s) of CMAQ modeled ACLK[1] Model.cmaq.wdt.conus.ddep.DDEP_AECIJ (kg/ha) 1 level(s) of CMAQ modeled AECI[1] +AECJ[1] Model.cmaq.wdt.conus.ddep.DDEP_ALJ (kg/ha) 1 level(s) of CMAQ modeled AALJ[1] Model.cmaq.wdt.conus.ddep.DDEP_ANAJ (kg/ha) 1 level(s) of CMAQ modeled ANAJ[1] Model.cmaq.wdt.conus.ddep.DDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled ANAJ[1] + ANAK_D[0] Model.cmaq.wdt.conus.ddep.DDEP_ANAK (kg/ha) 1 level(s) of CMAQ modeled ANAK_D[0] Model.cmaq.wdt.conus.ddep.DDEP_ANH4IJ (kg/ha) 1 level(s) of CMAQ modeled ANH4I[1] + ANH4J[1] Model.cmaq.wdt.conus.ddep.DDEP_ANH4K (kg/ha) 1 level(s) of CMAQ modeled ANH4K[1] Model.cmaq.wdt.conus.ddep.DDEP_ANO3IJ (kg/ha) 1 level(s) of CMAQ modeled ANO3I[1] + ANO3J[1] Model.cmaq.wdt.conus.ddep.DDEP_ANO3K (kg/ha) 1 level(s) of CMAQ modeled ANO3K[1] Model.cmaq.wdt.conus.ddep.DDEP_AOCIJ (kg/ha) 1 level(s) of CMAQ modeled (AXYL1J[1]+AXYL2J[1]+AXYL3J[1])/2.0+(ATOL1J[1]+ATOL2J[1]+ATOL3J[1])/2.0+(ABNZ1J[ Model.cmaq.wdt.conus.ddep.DDEP_ASO4IJ (kg/ha) 1 level(s) of CMAQ modeled ASO4I[1] + ASO4J[1] Model.cmaq.wdt.conus.ddep.DDEP_ASO4K (kg/ha) 1 level(s) of CMAQ modeled ASO4K[1] Model.cmaq.wdt.conus.ddep.DDEP_CAJ (kg/ha) 1 level(s) of CMAQ modeled ACAJ[1] Model.cmaq.wdt.conus.ddep.DDEP_CAJK (kg/ha) 1 level(s) of CMAQ modeled ACAJ[1]+ACAK_D[0] Model.cmaq.wdt.conus.ddep.DDEP_FEJ (kg/ha) 1 level(s) of CMAQ modeled AFEJ[1] Model.cmaq.wdt.conus.ddep.DDEP_FORM (kg/ha) 1 level(s) of CMAQ modeled FORM[1] Model.cmaq.wdt.conus.ddep.DDEP_H2O2 (kg/ha) 1 level(s) of CMAQ modeled H2O2[1] Model.cmaq.wdt.conus.ddep.DDEP_HNO3 (kg/ha) 1 level(s) of CMAQ modeled HNO3[1] Model.cmaq.wdt.conus.ddep.DDEP_HONO (kg/ha) 1 level(s) of CMAQ modeled HONO[1] Model.cmaq.wdt.conus.ddep.DDEP_KJ (kg/ha) 1 level(s) of CMAQ modeled AKJ[1] Model.cmaq.wdt.conus.ddep.DDEP_KJK (kg/ha) 1 level(s) of CMAQ modeled AKJ[1]+AKK_D[0] Model.cmaq.wdt.conus.ddep.DDEP_MGJ (kg/ha) 1 level(s) of CMAQ modeled AMGJ[1] Model.cmaq.wdt.conus.ddep.DDEP_MGJK (kg/ha) 1 level(s) of CMAQ modeled AMGJ[1]+AMGK_D[0] Model.cmaq.wdt.conus.ddep.DDEP_MNJ (kg/ha) 1 level(s) of CMAQ modeled AMNJ[1] Model.cmaq.wdt.conus.ddep.DDEP_N2O5 (kg/ha) 1 level(s) of CMAQ modeled N2O5[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3 (kg/ha) 1 level(s) of CMAQ modeled NH3[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Ag (kg/ha) 1 level(s) of CMAQ modeled NH3_Ag[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Cut (kg/ha) 1 level(s) of CMAQ modeled NH3_Cut[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Dep (kg/ha) 1 level(s) of CMAQ modeled NH3_Dep[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Emis (kg/ha) 1 level(s) of CMAQ modeled NH3_Emis[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Nat (kg/ha) 1 level(s) of CMAQ modeled NH3_Nat[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Soil (kg/ha) 1 level(s) of CMAQ modeled NH3_Soil[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Stom (kg/ha) 1 level(s) of CMAQ modeled NH3_Stom[1] Model.cmaq.wdt.conus.ddep.DDEP_NH3_Wat (kg/ha) 1 level(s) of CMAQ modeled NH3_Wat[1] Model.cmaq.wdt.conus.ddep.DDEP_NHX (kg/ha) 1 level(s) of CMAQ modeled ANH4I[1] + ANH4J[1] + ANH4K[1] + 1.059*NH3_Dep[1] Model.cmaq.wdt.conus.ddep.DDEP_NO (kg/ha) 1 level(s) of CMAQ modeled NO[1] Model.cmaq.wdt.conus.ddep.DDEP_NO2 (kg/ha) 1 level(s) of CMAQ modeled NO2[1] Model.cmaq.wdt.conus.ddep.DDEP_NTR (kg/ha) 1 level(s) of CMAQ modeled NTR[1] Model.cmaq.wdt.conus.ddep.DDEP_O3 (kg/ha) 1 level(s) of CMAQ modeled O3[1] Model.cmaq.wdt.conus.ddep.DDEP_PANT (kg/ha) 1 level(s) of CMAQ modeled PAN[1] + PANX[1] + OPAN[1] Model.cmaq.wdt.conus.ddep.DDEP_SIJ (kg/ha) 1 level(s) of CMAQ modeled ASIJ[1] Model.cmaq.wdt.conus.ddep.DDEP_SO2 (kg/ha) 1 level(s) of CMAQ modeled SO2[1] Model.cmaq.wdt.conus.ddep.DDEP_SSSO4J (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAJ[1] Model.cmaq.wdt.conus.ddep.DDEP_SSSO4K (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAK_D[0] Model.cmaq.wdt.conus.ddep.DDEP_TIJ (kg/ha) 1 level(s) of CMAQ modeled ATIJ[1] Model.cmaq.wdt.conus.ddep.DDEP_TNO3 (kg/ha) 1 level(s) of CMAQ modeled ANO3I[1] + ANO3J[1] + ANO3K[1] + 0.984*HNO3[1] Model.cmaq.wdt.conus.ddep.DD_OXN_NOX (kg/ha) 1 level(s) of CMAQ modeled 0.30435*NO2[1] + 0.46667*NO[1] Model.cmaq.wdt.conus.ddep.DD_OXN_ORGN (kg/ha) 1 level(s) of CMAQ modeled 0.10770*NTR[1] Model.cmaq.wdt.conus.ddep.DD_OXN_OTHR (kg/ha) 1 level(s) of CMAQ modeled 0.25926*N2O5[1] + 0.29787*HONO[1] Model.cmaq.wdt.conus.ddep.DD_OXN_PANT (kg/ha) 1 level(s) of CMAQ modeled 0.11570*PAN[1] + 0.11570*PANX[1] + 0.11570*OPAN[1] Model.cmaq.wdt.conus.ddep.DD_OXN_TNO3 (kg/ha) 1 level(s) of CMAQ modeled 0.22222*HNO3[1] + 0.22581*ANO3I[1] + 0.22581*ANO3J[1] + 0.22581*ANO3K[1] Model.cmaq.wdt.conus.ddep.DD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_OXN_NOX[0] + DD_OXN_TNO3[0] + DD_OXN_PANT[0] + DD_OXN_ORGN[0] + DD_OXN_OTHR[0 Model.cmaq.wdt.conus.ddep.DD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*DD_OXN_TOT[0] Model.cmaq.wdt.conus.ddep.DD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.7777*DDEP_NHX[0] Model.cmaq.wdt.conus.ddep.DD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*DD_REDN_TOT[0] Model.cmaq.wdt.conus.ddep.DD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled 0.33333*DDEP_SSSO4J[0] + 0.33333*DDEP_SSSO4K[0] Model.cmaq.wdt.conus.ddep.DD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*DD_S_SeaS[0] Model.cmaq.wdt.conus.ddep.DD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.5*SO2[1] + 0.33333*ASO4I[1] + 0.33333*ASO4J[1] + 0.33333*ASO4K[1] Model.cmaq.wdt.conus.ddep.DD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*DD_S_TOT[0] Model.cmaq.wdt.conus.ddep.RT (cm) 1 level(s) of CMAQ modeled RN[3] + RC[3] Model.cmaq.wdt.conus.ddep.TDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled DDEP_ANAJK[0] + WDEP_ANAJK[0] Model.cmaq.wdt.conus.ddep.TDEP_CA (kg/ha) 1 level(s) of CMAQ modeled DDEP_CAJK[0]+WDEP_CAJK[0] Model.cmaq.wdt.conus.ddep.TDEP_CL (kg/ha) 1 level(s) of CMAQ modeled DDEP_ACLJK[0] + WDEP_TCL[0] Model.cmaq.wdt.conus.ddep.TDEP_K (kg/ha) 1 level(s) of CMAQ modeled DDEP_KJK[0]+WDEP_KJK[0] Model.cmaq.wdt.conus.ddep.TDEP_MG (kg/ha) 1 level(s) of CMAQ modeled DDEP_MGJK[0]+WDEP_MGJK[0] Model.cmaq.wdt.conus.ddep.TD_N_TOT (kg/ha) 1 level(s) of CMAQ modeled TD_OXN_TOT[0] + TD_REDN_TOT[0] Model.cmaq.wdt.conus.ddep.TD_N_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled TD_OXN_TOTMEQ[0] + TD_REDN_TOTMEQ[0] Model.cmaq.wdt.conus.ddep.TD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_OXN_TOT[0] + WD_OXN_TOT[0] Model.cmaq.wdt.conus.ddep.TD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_OXN_TOTMEQ[0] + WD_OXN_TOTMEQ[0] Model.cmaq.wdt.conus.ddep.TD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_REDN_TOT[0] + WD_REDN_TOT[0] Model.cmaq.wdt.conus.ddep.TD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_REDN_TOTMEQ[0] + WD_REDN_TOTMEQ[0] Model.cmaq.wdt.conus.ddep.TD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled DD_S_SeaS[0] + WD_S_SeaS[0] Model.cmaq.wdt.conus.ddep.TD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_S_SeaSMEQ[0] + WD_S_SeaSMEQ[0] Model.cmaq.wdt.conus.ddep.TD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_S_TOT[0] + WD_S_TOT[0] Model.cmaq.wdt.conus.ddep.TD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_S_TOTMEQ[0] + WD_S_TOTMEQ[0] Model.cmaq.wdt.conus.ddep.WDEP_ALJ (kg/ha) 1 level(s) of CMAQ modeled AALJ[2] Model.cmaq.wdt.conus.ddep.WDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled ANAJ[2] + ANAK_W[0] Model.cmaq.wdt.conus.ddep.WDEP_ANH4IJK (kg/ha) 1 level(s) of CMAQ modeled ANH4I[2] + ANH4J[2] + ANH4K[2] Model.cmaq.wdt.conus.ddep.WDEP_ANO3IJK (kg/ha) 1 level(s) of CMAQ modeled ANO3I[2] + ANO3J[2] + ANO3K[2] Model.cmaq.wdt.conus.ddep.WDEP_ASO4IJK (kg/ha) 1 level(s) of CMAQ modeled ASO4I[2] + ASO4J[2] + ASO4K[2] Model.cmaq.wdt.conus.ddep.WDEP_CAJ (kg/ha) 1 level(s) of CMAQ modeled ACAJ[2] Model.cmaq.wdt.conus.ddep.WDEP_CAJK (kg/ha) 1 level(s) of CMAQ modeled ACAJ[2]+ACAK_W[0] Model.cmaq.wdt.conus.ddep.WDEP_FEJ (kg/ha) 1 level(s) of CMAQ modeled AFEJ[2] Model.cmaq.wdt.conus.ddep.WDEP_FORM (kg/ha) 1 level(s) of CMAQ modeled FORM[2] Model.cmaq.wdt.conus.ddep.WDEP_H2O2 (kg/ha) 1 level(s) of CMAQ modeled H2O2[2] Model.cmaq.wdt.conus.ddep.WDEP_HNO3 (kg/ha) 1 level(s) of CMAQ modeled HNO3[2] Model.cmaq.wdt.conus.ddep.WDEP_HONO (kg/ha) 1 level(s) of CMAQ modeled HONO[2] Model.cmaq.wdt.conus.ddep.WDEP_KJ (kg/ha) 1 level(s) of CMAQ modeled AKJ[2] Model.cmaq.wdt.conus.ddep.WDEP_KJK (kg/ha) 1 level(s) of CMAQ modeled AKJ[2]+AKK_D[0] Model.cmaq.wdt.conus.ddep.WDEP_MGJ (kg/ha) 1 level(s) of CMAQ modeled AMGJ[2] Model.cmaq.wdt.conus.ddep.WDEP_MGJK (kg/ha) 1 level(s) of CMAQ modeled AMGJ[2]+AMGK_W[0] Model.cmaq.wdt.conus.ddep.WDEP_MNJ (kg/ha) 1 level(s) of CMAQ modeled AMNJ[2] Model.cmaq.wdt.conus.ddep.WDEP_N2O5 (kg/ha) 1 level(s) of CMAQ modeled N2O5[2] Model.cmaq.wdt.conus.ddep.WDEP_NH3 (kg/ha) 1 level(s) of CMAQ modeled NH3[2] Model.cmaq.wdt.conus.ddep.WDEP_NHX (kg/ha) 1 level(s) of CMAQ modeled ANH4I[2] + ANH4J[2] + ANH4K[2] + 1.059*NH3[2] Model.cmaq.wdt.conus.ddep.WDEP_NO (kg/ha) 1 level(s) of CMAQ modeled NO[2] Model.cmaq.wdt.conus.ddep.WDEP_NO2 (kg/ha) 1 level(s) of CMAQ modeled NO2[2] Model.cmaq.wdt.conus.ddep.WDEP_NTR (kg/ha) 1 level(s) of CMAQ modeled NTR[2] Model.cmaq.wdt.conus.ddep.WDEP_O3 (kg/ha) 1 level(s) of CMAQ modeled O3[2] Model.cmaq.wdt.conus.ddep.WDEP_PANT (kg/ha) 1 level(s) of CMAQ modeled PAN[2] + PANX[2] + OPAN[2] Model.cmaq.wdt.conus.ddep.WDEP_PNA (kg/ha) 1 level(s) of CMAQ modeled PNA[2] Model.cmaq.wdt.conus.ddep.WDEP_SIJ (kg/ha) 1 level(s) of CMAQ modeled ASIJ[2] Model.cmaq.wdt.conus.ddep.WDEP_SSSO4JK (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAJ[2] + 0.19579876*ANAK_W[0] Model.cmaq.wdt.conus.ddep.WDEP_TCL (kg/ha) 1 level(s) of CMAQ modeled 0.972*HCL[2] + ACLJ[2] + ACLK[2] Model.cmaq.wdt.conus.ddep.WDEP_TIJ (kg/ha) 1 level(s) of CMAQ modeled ATIJ[2] Model.cmaq.wdt.conus.ddep.WDEP_TNO3 (kg/ha) 1 level(s) of CMAQ modeled ANO3I[2] + ANO3J[2] + ANO3K[2] + 0.984*HNO3[2] Model.cmaq.wdt.conus.ddep.WDEP_TSO4 (kg/ha) 1 level(s) of CMAQ modeled ASO4I[2] + ASO4J[2] + ASO4K[2] + 1.5*SO2[2] Model.cmaq.wdt.conus.ddep.WD_OXN_NOX (kg/ha) 1 level(s) of CMAQ modeled 0.30435*NO2[2] + 0.46667*NO[2] Model.cmaq.wdt.conus.ddep.WD_OXN_ORGN (kg/ha) 1 level(s) of CMAQ modeled 0.10770*NTR[2] Model.cmaq.wdt.conus.ddep.WD_OXN_OTHR (kg/ha) 1 level(s) of CMAQ modeled 0.25926*N2O5[2] + 0.29787*HONO[2] + 0.177720*PNA[2] Model.cmaq.wdt.conus.ddep.WD_OXN_PANT (kg/ha) 1 level(s) of CMAQ modeled 0.11570*PAN[2] + 0.11570*PANX[2] + 0.11570*OPAN[2] Model.cmaq.wdt.conus.ddep.WD_OXN_TNO3 (kg/ha) 1 level(s) of CMAQ modeled 0.22581*WDEP_TNO3[0] Model.cmaq.wdt.conus.ddep.WD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled WD_OXN_NOX[0] + WD_OXN_TNO3[0] + WD_OXN_PANT[0] + WD_OXN_ORGN[0] + WD_OXN_OTHR[0 Model.cmaq.wdt.conus.ddep.WD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*WD_OXN_TOT[0] Model.cmaq.wdt.conus.ddep.WD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.7777*WDEP_NHX[0] Model.cmaq.wdt.conus.ddep.WD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*WD_REDN_TOT[0] Model.cmaq.wdt.conus.ddep.WD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled 0.33333*WDEP_SSSO4JK[0] Model.cmaq.wdt.conus.ddep.WD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*WD_S_SeaS[0] Model.cmaq.wdt.conus.ddep.WD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.33333*WDEP_TSO4[0] Model.cmaq.wdt.conus.ddep.WD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*WD_S_TOT[0] Model.cmaq.wdt.conus.mdep.ACAK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0320*ASEACAT[1]+0.0838*ASOIL[1]+0.0562*ACORS[1] Model.cmaq.wdt.conus.mdep.ACAK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0320*ASEACAT[2]+0.0838*ASOIL[2]+0.0562*ACORS[2] Model.cmaq.wdt.conus.mdep.AKK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0310*ASEACAT[1]+0.0242*ASOIL[1]+0.0176*ACORS[1] Model.cmaq.wdt.conus.mdep.AKK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0310*ASEACAT[2]+0.0242*ASOIL[2]+0.0176*ACORS[2] Model.cmaq.wdt.conus.mdep.AMGK_D (kg/ha) 1 level(s) of CMAQ modeled 0.0997*ASEACAT[1]+0.0032*ACORS[1] Model.cmaq.wdt.conus.mdep.AMGK_W (kg/ha) 1 level(s) of CMAQ modeled 0.0997*ASEACAT[2]+0.0032*ACORS[2] Model.cmaq.wdt.conus.mdep.ANAK_D (kg/ha) 1 level(s) of CMAQ modeled 0.8373*ASEACAT[1]+0.0626*ASOIL[1]+0.0023*ACORS[1] Model.cmaq.wdt.conus.mdep.ANAK_W (kg/ha) 1 level(s) of CMAQ modeled 0.8373*ASEACAT[2]+0.0626*ASOIL[2]+0.0023*ACORS[2] Model.cmaq.wdt.conus.mdep.DDEP_ACLJ (kg/ha) 1 level(s) of CMAQ modeled ACLJ[1] Model.cmaq.wdt.conus.mdep.DDEP_ACLJK (kg/ha) 1 level(s) of CMAQ modeled ACLJ[1] + ACLK[1] Model.cmaq.wdt.conus.mdep.DDEP_ACLK (kg/ha) 1 level(s) of CMAQ modeled ACLK[1] Model.cmaq.wdt.conus.mdep.DDEP_AECIJ (kg/ha) 1 level(s) of CMAQ modeled AECI[1] +AECJ[1] Model.cmaq.wdt.conus.mdep.DDEP_ALJ (kg/ha) 1 level(s) of CMAQ modeled AALJ[1] Model.cmaq.wdt.conus.mdep.DDEP_ANAJ (kg/ha) 1 level(s) of CMAQ modeled ANAJ[1] Model.cmaq.wdt.conus.mdep.DDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled ANAJ[1] + ANAK_D[0] Model.cmaq.wdt.conus.mdep.DDEP_ANAK (kg/ha) 1 level(s) of CMAQ modeled ANAK_D[0] Model.cmaq.wdt.conus.mdep.DDEP_ANH4IJ (kg/ha) 1 level(s) of CMAQ modeled ANH4I[1] + ANH4J[1] Model.cmaq.wdt.conus.mdep.DDEP_ANH4K (kg/ha) 1 level(s) of CMAQ modeled ANH4K[1] Model.cmaq.wdt.conus.mdep.DDEP_ANO3IJ (kg/ha) 1 level(s) of CMAQ modeled ANO3I[1] + ANO3J[1] Model.cmaq.wdt.conus.mdep.DDEP_ANO3K (kg/ha) 1 level(s) of CMAQ modeled ANO3K[1] Model.cmaq.wdt.conus.mdep.DDEP_AOCIJ (kg/ha) 1 level(s) of CMAQ modeled (AXYL1J[1]+AXYL2J[1]+AXYL3J[1])/2.0+(ATOL1J[1]+ATOL2J[1]+ATOL3J[1])/2.0+(ABNZ1J[ Model.cmaq.wdt.conus.mdep.DDEP_ASO4IJ (kg/ha) 1 level(s) of CMAQ modeled ASO4I[1] + ASO4J[1] Model.cmaq.wdt.conus.mdep.DDEP_ASO4K (kg/ha) 1 level(s) of CMAQ modeled ASO4K[1] Model.cmaq.wdt.conus.mdep.DDEP_CAJ (kg/ha) 1 level(s) of CMAQ modeled ACAJ[1] Model.cmaq.wdt.conus.mdep.DDEP_CAJK (kg/ha) 1 level(s) of CMAQ modeled ACAJ[1]+ACAK_D[0] Model.cmaq.wdt.conus.mdep.DDEP_FEJ (kg/ha) 1 level(s) of CMAQ modeled AFEJ[1] Model.cmaq.wdt.conus.mdep.DDEP_FORM (kg/ha) 1 level(s) of CMAQ modeled FORM[1] Model.cmaq.wdt.conus.mdep.DDEP_H2O2 (kg/ha) 1 level(s) of CMAQ modeled H2O2[1] Model.cmaq.wdt.conus.mdep.DDEP_HNO3 (kg/ha) 1 level(s) of CMAQ modeled HNO3[1] Model.cmaq.wdt.conus.mdep.DDEP_HONO (kg/ha) 1 level(s) of CMAQ modeled HONO[1] Model.cmaq.wdt.conus.mdep.DDEP_KJ (kg/ha) 1 level(s) of CMAQ modeled AKJ[1] Model.cmaq.wdt.conus.mdep.DDEP_KJK (kg/ha) 1 level(s) of CMAQ modeled AKJ[1]+AKK_D[0] Model.cmaq.wdt.conus.mdep.DDEP_MGJ (kg/ha) 1 level(s) of CMAQ modeled AMGJ[1] Model.cmaq.wdt.conus.mdep.DDEP_MGJK (kg/ha) 1 level(s) of CMAQ modeled AMGJ[1]+AMGK_D[0] Model.cmaq.wdt.conus.mdep.DDEP_MNJ (kg/ha) 1 level(s) of CMAQ modeled AMNJ[1] Model.cmaq.wdt.conus.mdep.DDEP_N2O5 (kg/ha) 1 level(s) of CMAQ modeled N2O5[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3 (kg/ha) 1 level(s) of CMAQ modeled NH3[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Ag (kg/ha) 1 level(s) of CMAQ modeled NH3_Ag[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Cut (kg/ha) 1 level(s) of CMAQ modeled NH3_Cut[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Dep (kg/ha) 1 level(s) of CMAQ modeled NH3_Dep[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Emis (kg/ha) 1 level(s) of CMAQ modeled NH3_Emis[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Nat (kg/ha) 1 level(s) of CMAQ modeled NH3_Nat[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Soil (kg/ha) 1 level(s) of CMAQ modeled NH3_Soil[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Stom (kg/ha) 1 level(s) of CMAQ modeled NH3_Stom[1] Model.cmaq.wdt.conus.mdep.DDEP_NH3_Wat (kg/ha) 1 level(s) of CMAQ modeled NH3_Wat[1] Model.cmaq.wdt.conus.mdep.DDEP_NHX (kg/ha) 1 level(s) of CMAQ modeled ANH4I[1] + ANH4J[1] + ANH4K[1] + 1.059*NH3_Dep[1] Model.cmaq.wdt.conus.mdep.DDEP_NO (kg/ha) 1 level(s) of CMAQ modeled NO[1] Model.cmaq.wdt.conus.mdep.DDEP_NO2 (kg/ha) 1 level(s) of CMAQ modeled NO2[1] Model.cmaq.wdt.conus.mdep.DDEP_NTR (kg/ha) 1 level(s) of CMAQ modeled NTR[1] Model.cmaq.wdt.conus.mdep.DDEP_O3 (kg/ha) 1 level(s) of CMAQ modeled O3[1] Model.cmaq.wdt.conus.mdep.DDEP_PANT (kg/ha) 1 level(s) of CMAQ modeled PAN[1] + PANX[1] + OPAN[1] Model.cmaq.wdt.conus.mdep.DDEP_SIJ (kg/ha) 1 level(s) of CMAQ modeled ASIJ[1] Model.cmaq.wdt.conus.mdep.DDEP_SO2 (kg/ha) 1 level(s) of CMAQ modeled SO2[1] Model.cmaq.wdt.conus.mdep.DDEP_SSSO4J (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAJ[1] Model.cmaq.wdt.conus.mdep.DDEP_SSSO4K (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAK_D[0] Model.cmaq.wdt.conus.mdep.DDEP_TIJ (kg/ha) 1 level(s) of CMAQ modeled ATIJ[1] Model.cmaq.wdt.conus.mdep.DDEP_TNO3 (kg/ha) 1 level(s) of CMAQ modeled ANO3I[1] + ANO3J[1] + ANO3K[1] + 0.984*HNO3[1] Model.cmaq.wdt.conus.mdep.DD_OXN_NOX (kg/ha) 1 level(s) of CMAQ modeled 0.30435*NO2[1] + 0.46667*NO[1] Model.cmaq.wdt.conus.mdep.DD_OXN_ORGN (kg/ha) 1 level(s) of CMAQ modeled 0.10770*NTR[1] Model.cmaq.wdt.conus.mdep.DD_OXN_OTHR (kg/ha) 1 level(s) of CMAQ modeled 0.25926*N2O5[1] + 0.29787*HONO[1] Model.cmaq.wdt.conus.mdep.DD_OXN_PANT (kg/ha) 1 level(s) of CMAQ modeled 0.11570*PAN[1] + 0.11570*PANX[1] + 0.11570*OPAN[1] Model.cmaq.wdt.conus.mdep.DD_OXN_TNO3 (kg/ha) 1 level(s) of CMAQ modeled 0.22222*HNO3[1] + 0.22581*ANO3I[1] + 0.22581*ANO3J[1] + 0.22581*ANO3K[1] Model.cmaq.wdt.conus.mdep.DD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_OXN_NOX[0] + DD_OXN_TNO3[0] + DD_OXN_PANT[0] + DD_OXN_ORGN[0] + DD_OXN_OTHR[0 Model.cmaq.wdt.conus.mdep.DD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*DD_OXN_TOT[0] Model.cmaq.wdt.conus.mdep.DD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.7777*DDEP_NHX[0] Model.cmaq.wdt.conus.mdep.DD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*DD_REDN_TOT[0] Model.cmaq.wdt.conus.mdep.DD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled 0.33333*DDEP_SSSO4J[0] + 0.33333*DDEP_SSSO4K[0] Model.cmaq.wdt.conus.mdep.DD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*DD_S_SeaS[0] Model.cmaq.wdt.conus.mdep.DD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.5*SO2[1] + 0.33333*ASO4I[1] + 0.33333*ASO4J[1] + 0.33333*ASO4K[1] Model.cmaq.wdt.conus.mdep.DD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*DD_S_TOT[0] Model.cmaq.wdt.conus.mdep.RT (cm) 1 level(s) of CMAQ modeled RN[3] + RC[3] Model.cmaq.wdt.conus.mdep.TDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled DDEP_ANAJK[0] + WDEP_ANAJK[0] Model.cmaq.wdt.conus.mdep.TDEP_CA (kg/ha) 1 level(s) of CMAQ modeled DDEP_CAJK[0]+WDEP_CAJK[0] Model.cmaq.wdt.conus.mdep.TDEP_CL (kg/ha) 1 level(s) of CMAQ modeled DDEP_ACLJK[0] + WDEP_TCL[0] Model.cmaq.wdt.conus.mdep.TDEP_K (kg/ha) 1 level(s) of CMAQ modeled DDEP_KJK[0]+WDEP_KJK[0] Model.cmaq.wdt.conus.mdep.TDEP_MG (kg/ha) 1 level(s) of CMAQ modeled DDEP_MGJK[0]+WDEP_MGJK[0] Model.cmaq.wdt.conus.mdep.TD_N_TOT (kg/ha) 1 level(s) of CMAQ modeled TD_OXN_TOT[0] + TD_REDN_TOT[0] Model.cmaq.wdt.conus.mdep.TD_N_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled TD_OXN_TOTMEQ[0] + TD_REDN_TOTMEQ[0] Model.cmaq.wdt.conus.mdep.TD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_OXN_TOT[0] + WD_OXN_TOT[0] Model.cmaq.wdt.conus.mdep.TD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_OXN_TOTMEQ[0] + WD_OXN_TOTMEQ[0] Model.cmaq.wdt.conus.mdep.TD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_REDN_TOT[0] + WD_REDN_TOT[0] Model.cmaq.wdt.conus.mdep.TD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_REDN_TOTMEQ[0] + WD_REDN_TOTMEQ[0] Model.cmaq.wdt.conus.mdep.TD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled DD_S_SeaS[0] + WD_S_SeaS[0] Model.cmaq.wdt.conus.mdep.TD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_S_SeaSMEQ[0] + WD_S_SeaSMEQ[0] Model.cmaq.wdt.conus.mdep.TD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled DD_S_TOT[0] + WD_S_TOT[0] Model.cmaq.wdt.conus.mdep.TD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled DD_S_TOTMEQ[0] + WD_S_TOTMEQ[0] Model.cmaq.wdt.conus.mdep.WDEP_ALJ (kg/ha) 1 level(s) of CMAQ modeled AALJ[2] Model.cmaq.wdt.conus.mdep.WDEP_ANAJK (kg/ha) 1 level(s) of CMAQ modeled ANAJ[2] + ANAK_W[0] Model.cmaq.wdt.conus.mdep.WDEP_ANH4IJK (kg/ha) 1 level(s) of CMAQ modeled ANH4I[2] + ANH4J[2] + ANH4K[2] Model.cmaq.wdt.conus.mdep.WDEP_ANO3IJK (kg/ha) 1 level(s) of CMAQ modeled ANO3I[2] + ANO3J[2] + ANO3K[2] Model.cmaq.wdt.conus.mdep.WDEP_ASO4IJK (kg/ha) 1 level(s) of CMAQ modeled ASO4I[2] + ASO4J[2] + ASO4K[2] Model.cmaq.wdt.conus.mdep.WDEP_CAJ (kg/ha) 1 level(s) of CMAQ modeled ACAJ[2] Model.cmaq.wdt.conus.mdep.WDEP_CAJK (kg/ha) 1 level(s) of CMAQ modeled ACAJ[2]+ACAK_W[0] Model.cmaq.wdt.conus.mdep.WDEP_FEJ (kg/ha) 1 level(s) of CMAQ modeled AFEJ[2] Model.cmaq.wdt.conus.mdep.WDEP_FORM (kg/ha) 1 level(s) of CMAQ modeled FORM[2] Model.cmaq.wdt.conus.mdep.WDEP_H2O2 (kg/ha) 1 level(s) of CMAQ modeled H2O2[2] Model.cmaq.wdt.conus.mdep.WDEP_HNO3 (kg/ha) 1 level(s) of CMAQ modeled HNO3[2] Model.cmaq.wdt.conus.mdep.WDEP_HONO (kg/ha) 1 level(s) of CMAQ modeled HONO[2] Model.cmaq.wdt.conus.mdep.WDEP_KJ (kg/ha) 1 level(s) of CMAQ modeled AKJ[2] Model.cmaq.wdt.conus.mdep.WDEP_KJK (kg/ha) 1 level(s) of CMAQ modeled AKJ[2]+AKK_D[0] Model.cmaq.wdt.conus.mdep.WDEP_MGJ (kg/ha) 1 level(s) of CMAQ modeled AMGJ[2] Model.cmaq.wdt.conus.mdep.WDEP_MGJK (kg/ha) 1 level(s) of CMAQ modeled AMGJ[2]+AMGK_W[0] Model.cmaq.wdt.conus.mdep.WDEP_MNJ (kg/ha) 1 level(s) of CMAQ modeled AMNJ[2] Model.cmaq.wdt.conus.mdep.WDEP_N2O5 (kg/ha) 1 level(s) of CMAQ modeled N2O5[2] Model.cmaq.wdt.conus.mdep.WDEP_NH3 (kg/ha) 1 level(s) of CMAQ modeled NH3[2] Model.cmaq.wdt.conus.mdep.WDEP_NHX (kg/ha) 1 level(s) of CMAQ modeled ANH4I[2] + ANH4J[2] + ANH4K[2] + 1.059*NH3[2] Model.cmaq.wdt.conus.mdep.WDEP_NO (kg/ha) 1 level(s) of CMAQ modeled NO[2] Model.cmaq.wdt.conus.mdep.WDEP_NO2 (kg/ha) 1 level(s) of CMAQ modeled NO2[2] Model.cmaq.wdt.conus.mdep.WDEP_NTR (kg/ha) 1 level(s) of CMAQ modeled NTR[2] Model.cmaq.wdt.conus.mdep.WDEP_O3 (kg/ha) 1 level(s) of CMAQ modeled O3[2] Model.cmaq.wdt.conus.mdep.WDEP_PANT (kg/ha) 1 level(s) of CMAQ modeled PAN[2] + PANX[2] + OPAN[2] Model.cmaq.wdt.conus.mdep.WDEP_PNA (kg/ha) 1 level(s) of CMAQ modeled PNA[2] Model.cmaq.wdt.conus.mdep.WDEP_SIJ (kg/ha) 1 level(s) of CMAQ modeled ASIJ[2] Model.cmaq.wdt.conus.mdep.WDEP_SSSO4JK (kg/ha) 1 level(s) of CMAQ modeled 0.19579876*ANAJ[2] + 0.19579876*ANAK_W[0] Model.cmaq.wdt.conus.mdep.WDEP_TCL (kg/ha) 1 level(s) of CMAQ modeled 0.972*HCL[2] + ACLJ[2] + ACLK[2] Model.cmaq.wdt.conus.mdep.WDEP_TIJ (kg/ha) 1 level(s) of CMAQ modeled ATIJ[2] Model.cmaq.wdt.conus.mdep.WDEP_TNO3 (kg/ha) 1 level(s) of CMAQ modeled ANO3I[2] + ANO3J[2] + ANO3K[2] + 0.984*HNO3[2] Model.cmaq.wdt.conus.mdep.WDEP_TSO4 (kg/ha) 1 level(s) of CMAQ modeled ASO4I[2] + ASO4J[2] + ASO4K[2] + 1.5*SO2[2] Model.cmaq.wdt.conus.mdep.WD_OXN_NOX (kg/ha) 1 level(s) of CMAQ modeled 0.30435*NO2[2] + 0.46667*NO[2] Model.cmaq.wdt.conus.mdep.WD_OXN_ORGN (kg/ha) 1 level(s) of CMAQ modeled 0.10770*NTR[2] Model.cmaq.wdt.conus.mdep.WD_OXN_OTHR (kg/ha) 1 level(s) of CMAQ modeled 0.25926*N2O5[2] + 0.29787*HONO[2] + 0.177720*PNA[2] Model.cmaq.wdt.conus.mdep.WD_OXN_PANT (kg/ha) 1 level(s) of CMAQ modeled 0.11570*PAN[2] + 0.11570*PANX[2] + 0.11570*OPAN[2] Model.cmaq.wdt.conus.mdep.WD_OXN_TNO3 (kg/ha) 1 level(s) of CMAQ modeled 0.22581*WDEP_TNO3[0] Model.cmaq.wdt.conus.mdep.WD_OXN_TOT (kg/ha) 1 level(s) of CMAQ modeled WD_OXN_NOX[0] + WD_OXN_TNO3[0] + WD_OXN_PANT[0] + WD_OXN_ORGN[0] + WD_OXN_OTHR[0 Model.cmaq.wdt.conus.mdep.WD_OXN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*WD_OXN_TOT[0] Model.cmaq.wdt.conus.mdep.WD_REDN_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.7777*WDEP_NHX[0] Model.cmaq.wdt.conus.mdep.WD_REDN_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 7.14*WD_REDN_TOT[0] Model.cmaq.wdt.conus.mdep.WD_S_SeaS (kg/ha) 1 level(s) of CMAQ modeled 0.33333*WDEP_SSSO4JK[0] Model.cmaq.wdt.conus.mdep.WD_S_SeaSMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*WD_S_SeaS[0] Model.cmaq.wdt.conus.mdep.WD_S_TOT (kg/ha) 1 level(s) of CMAQ modeled 0.33333*WDEP_TSO4[0] Model.cmaq.wdt.conus.mdep.WD_S_TOTMEQ (meq/m2) 1 level(s) of CMAQ modeled 6.24*WD_S_TOT[0] Model.hrrr.baseflow_groundwater_runoff (kg/m2) NOAA High Resolution Rapid Refresh model hourly 3km baseflow groundwater runoff over US. Model.hrrr.boundary_layer_height (m) NOAA High Resolution Rapid Refresh model hourly 3km height of planetary boundary layer over US. Model.hrrr.cloud_cover_high (%) NOAA High Resolution Rapid Refresh model hourly 3km percent of high cloud layer over US. Model.hrrr.cloud_cover_low (%) NOAA High Resolution Rapid Refresh model hourly 3km percent of low cloud layer over US. Model.hrrr.cloud_cover_middle (%) NOAA High Resolution Rapid Refresh model hourly 3km percent of middle cloud layer over US. Model.hrrr.cloud_cover_total (%) NOAA High Resolution Rapid Refresh model hourly 3km percent of cloud layer in entire atmosphere over US. Model.hrrr.cloud_top (m) NOAA High Resolution Rapid Refresh model hourly 3km height of highest cloud over US. Model.hrrr.convective_available_potential_energy_180mb (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective available potential energy 180-0mb pressure level over US. Model.hrrr.convective_available_potential_energy_255mb (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective available potential energy 255-0mb pressure level over US. Model.hrrr.convective_available_potential_energy_90mb (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective available potential energy 90-0mb pressure level over US. Model.hrrr.convective_available_potential_energy_surface (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective available potential energy over US. Model.hrrr.convective_inhibition_180mb (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective inhibition at the 180mb pressure level over US. Model.hrrr.convective_inhibition_255mb (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective inhibition at the 255mb pressure level over US. Model.hrrr.convective_inhibition_90mb (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective inhibition at the 90mb pressure level over US. Model.hrrr.convective_inhibition_surface (J/kg) NOAA High Resolution Rapid Refresh model hourly 3km convective inhibition at the surface over US. Model.hrrr.dew_point_temperature_1000mb (K) NOAA High Resolution Rapid Refresh model hourly 3km dew point temperature at 1,000mb pressure level over US. Model.hrrr.dew_point_temperature_2m (K) NOAA High Resolution Rapid Refresh model hourly 3km dew point temperature at 2m above the surface over US. Model.hrrr.dew_point_temperature_500mb (K) NOAA High Resolution Rapid Refresh model hourly 3km dew point temperature at 500mb pressure level over US. Model.hrrr.dew_point_temperature_700mb (K) NOAA High Resolution Rapid Refresh model hourly 3km dew point temperature at 700mb pressure level over US. Model.hrrr.dew_point_temperature_850mb (K) NOAA High Resolution Rapid Refresh model hourly 3km dew point temperature at 850mb pressure level over US. Model.hrrr.dew_point_temperature_925mb (K) NOAA High Resolution Rapid Refresh model hourly 3km dew point temperature at 925mb pressure level over US. Model.hrrr.freezing_rain_fraction (-) NOAA High Resolution Rapid Refresh model hourly 3km fraction of precipitaion that is freezing rain over US. Model.hrrr.frictional_velocity (m/s) NOAA High Resolution Rapid Refresh model hourly 3km frictional velocity over US. Model.hrrr.frozen_rain (kg/m2) NOAA High Resolution Rapid Refresh model hourly 3km accumulated frozen rain over US. Model.hrrr.geopotential_height_1000mb (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at 1,000mb pressure level over US. Model.hrrr.geopotential_height_500mb (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at 500mb pressure level over US. Model.hrrr.geopotential_height_700mb (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at 700mb pressure level over US. Model.hrrr.geopotential_height_850mb (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at 850mb pressure level over US. Model.hrrr.geopotential_height_cloud_base (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at cloud base level over US. Model.hrrr.geopotential_height_cloud_ceiling (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at cloud ceiling level over US. Model.hrrr.geopotential_height_cloud_top (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at cloud top level over US. Model.hrrr.geopotential_height_condensation (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height of adiabatic condensation from surface over US. Model.hrrr.geopotential_height_equilibrium (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height of equilibrium level over US. Model.hrrr.geopotential_height_surface (m) NOAA High Resolution Rapid Refresh model hourly 3km geopotential height at surface over US. Model.hrrr.ground_heat_flux (W/m2) NOAA High Resolution Rapid Refresh model hourly 3km ground heat flux over US. Model.hrrr.ice_cover (-) NOAA High Resolution Rapid Refresh model hourly 3km fraction of ice on surface over US. Model.hrrr.ice_fraction (-) NOAA High Resolution Rapid Refresh model hourly 3km fraction of precipitaion that is ice pellets over US. Model.hrrr.land_cover (-) NOAA High Resolution Rapid Refresh model hourly 3km 0 = water, 1 = land over US. Model.hrrr.latent_heat_flux (W/m2) NOAA High Resolution Rapid Refresh model hourly 3km latent net heat flux at the surface over US. Model.hrrr.lifted_index_180mb (K) NOAA High Resolution Rapid Refresh model hourly 3km best 4-layer lifted index 180-0mb over US. Model.hrrr.precipitation (kg/m2) NOAA High Resolution Rapid Refresh model hourly 3km total accumulated precipitation at the surface over US. Model.hrrr.precipitation_frozen (%) NOAA High Resolution Rapid Refresh model hourly 3km percent of accumulated precipitation that is frozen over US. Model.hrrr.precipitation_rate (kg/m2/s) NOAA High Resolution Rapid Refresh model hourly 3km rate of total accumulated precipitation at the surface over US. Model.hrrr.pressure_0c (Pa) NOAA High Resolution Rapid Refresh model hourly 3km pressure at 0C degree isotherm level over US. Model.hrrr.pressure_cloud_base (Pa) NOAA High Resolution Rapid Refresh model hourly 3km pressure at cloud base level over US. Model.hrrr.pressure_cloud_top (Pa) NOAA High Resolution Rapid Refresh model hourly 3km pressure at cloud top level over US. Model.hrrr.pressure_lifted_255mb (Pa) NOAA High Resolution Rapid Refresh model hourly 3km pressure of level from which parcel was lifted 255-0mb above surface over US. Model.hrrr.pressure_surface (Pa) NOAA High Resolution Rapid Refresh model hourly 3km pressure at the surface over US. Model.hrrr.pressure_tropospheric_freezing (Pa) NOAA High Resolution Rapid Refresh model hourly 3km pressure at tropospheric freezing level over US. Model.hrrr.rain_fraction (-) NOAA High Resolution Rapid Refresh model hourly 3km fraction of precipitaion that is rain over US. Model.hrrr.reflectivity_1000m (dB) NOAA High Resolution Rapid Refresh model hourly 3km reflectivity at 1,000m above the surface over US. Model.hrrr.reflectivity_263k (dB) NOAA High Resolution Rapid Refresh model hourly 3km reflectivity at 263K temperature level over US. Model.hrrr.reflectivity_4000m (dB) NOAA High Resolution Rapid Refresh model hourly 3km reflectivity at 4,000m above the surface over US. Model.hrrr.reflectivity_composite (dB) NOAA High Resolution Rapid Refresh model hourly 3km reflectivity of entire atmosphere over US. Model.hrrr.relative_humidity_2m (%) NOAA High Resolution Rapid Refresh model hourly 3km relative humidity at 2m above the surface over US. Model.hrrr.relative_humidity_total (%) NOAA High Resolution Rapid Refresh model hourly 3km relative humidity with respect to precipitable water in entire atmosphere over US. Model.hrrr.relative_humidity_tropo_freezing (%) NOAA High Resolution Rapid Refresh model hourly 3km relative humidity at highest tropospheric freezing level over US. Model.hrrr.sensible_heat_flux (W/m2) NOAA High Resolution Rapid Refresh model hourly 3km sensible heat flux at the surface over US. Model.hrrr.snow (kg/m2) NOAA High Resolution Rapid Refresh model hourly 3km water equivalent of accumulated snow depth over US. Model.hrrr.snow_fraction (-) NOAA High Resolution Rapid Refresh model hourly 3km snow fraction over US. Model.hrrr.storm_motion_0_6000m (m/s) NOAA High Resolution Rapid Refresh model hourly 3km storm 2D motion of surface minus 6,000m above the surface over US. Model.hrrr.storm_relative_helicity_1000_0m (m2/s2) NOAA High Resolution Rapid Refresh model hourly 3km storm relative helicity at 1,000m minus surface over US. Model.hrrr.storm_relative_helicity_3000_0m (m2/s2) NOAA High Resolution Rapid Refresh model hourly 3km storm relative helicity at 3,000m minus surface over US. Model.hrrr.storm_runoff (kg/m2) NOAA High Resolution Rapid Refresh model hourly 3km storm surface water runoff over US. Model.hrrr.surface_lifted_index (K) NOAA High Resolution Rapid Refresh model hourly 3km surface lifted index 500-1000mb over US. Model.hrrr.surface_roughness (m) NOAA High Resolution Rapid Refresh model hourly 3km surface roughness over US. Model.hrrr.temperature_1000mb (K) NOAA High Resolution Rapid Refresh model hourly 3km temperature at 1,000mb pressure level over US. Model.hrrr.temperature_2m (K) NOAA High Resolution Rapid Refresh model hourly 3km temperature 2m above the surface over US. Model.hrrr.temperature_500mb (K) NOAA High Resolution Rapid Refresh model hourly 3km temperature at 500mb pressure level over US. Model.hrrr.temperature_700mb (K) NOAA High Resolution Rapid Refresh model hourly 3km temperature at 700mb pressure level over US. Model.hrrr.temperature_850mb (K) NOAA High Resolution Rapid Refresh model hourly 3km temperature at 850mb pressure level over US. Model.hrrr.temperature_925mb (K) NOAA High Resolution Rapid Refresh model hourly 3km temperature at 925mb pressure level over US. Model.hrrr.temperature_goes11_channel3 (K) NOAA High Resolution Rapid Refresh model hourly 3km simulated brightness temperature for GOES-11 channel 3 over US. Model.hrrr.temperature_goes11_channel4 (K) NOAA High Resolution Rapid Refresh model hourly 3km simulated brightness temperature for GOES-11 channel 4 over US. Model.hrrr.temperature_goes12_channel3 (K) NOAA High Resolution Rapid Refresh model hourly 3km simulated brightness temperature for GOES-12 channel 3 over US. Model.hrrr.temperature_goes12_channel4 (K) NOAA High Resolution Rapid Refresh model hourly 3km simulated brightness temperature for GOES-12 channel 4 over US. Model.hrrr.temperature_surface (K) NOAA High Resolution Rapid Refresh model hourly 3km temperature at the surface over US. Model.hrrr.total_precipitable_water (kg/m2) NOAA High Resolution Rapid Refresh model hourly 3km precipitable water in entire atmosphere over US. Model.hrrr.vegetation_type (-) NOAA High Resolution Rapid Refresh model hourly 3km vegetation type (0-13) over US. Model.hrrr.vertically_integrated_liquid_water (kg/m2) NOAA High Resolution Rapid Refresh model hourly 3km vertically-integrated liquid water in entire atmosphere over US. Model.hrrr.visibility (m) NOAA High Resolution Rapid Refresh model hourly 3km visibility at the surface over US. Model.hrrr.wind_1000mb (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 1000mb (110.8m) above the surface over US. Model.hrrr.wind_10m (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 10m above the surface over US. Model.hrrr.wind_250mb (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 250mb (10,358.5m) above the surface over US. Model.hrrr.wind_300mb (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 300mb (9,160.1m) above the surface over US. Model.hrrr.wind_500mb (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 500mb (5,572.1m) above the surface over US. Model.hrrr.wind_700mb (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 700m (3,010.9m) above the surface over US. Model.hrrr.wind_80m (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 80m above the surface over US. Model.hrrr.wind_850mb (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 850mb (1,456.7m) above the surface over US. Model.hrrr.wind_925mb (m/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind at 925mb (761.7m) above the surface over US. Model.hrrr.wind_gust (m/s) NOAA High Resolution Rapid Refresh model hourly 3km wind gust at the surface over US. Model.hrrr.wind_shear_0_1000m (1/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind vertical shear surface minus 1,000m above the surface over US. Model.hrrr.wind_shear_0_6000m (1/s) NOAA High Resolution Rapid Refresh model hourly 3km 2D wind vertical shear surface minus 6,000m above the surface over US. Model.hrrr.wind_speed_10m (m/s) NOAA High Resolution Rapid Refresh model hourly 3km wind speed at 10m above the surface over US. AirQuality.airnow.co (ppm) UTC hourly mean surface measured carbon monoxide concentration in part-per-million. AirQuality.airnow.no (ppb) UTC hourly mean surface measured nitric oxide concentration in part-per-billion. AirQuality.airnow.no2 (ppb) UTC hourly mean surface measured nitrogen dioxide concentration in part-per-billion. AirQuality.airnow.nox (ppb) UTC hourly mean surface measured nitrous oxides concentration in part-per-billion. AirQuality.airnow.ozone (ppb) UTC hourly mean surface measured ozone concentration in part-per-billion. AirQuality.airnow.pm10 (ug/m3) UTC hourly mean surface measured particulate matter (aerosols) 10 microns or smaller in diameter in micrograms per cubic meter. AirQuality.airnow.pm25 (ug/m3) UTC hourly mean surface measured particulate matter (aerosols) 2.5 microns or smaller in diameter in micrograms per cubic meter. AirQuality.airnow.rh (%) UTC hourly mean surface measured relative humidity percentage. AirQuality.airnow.so2 (ppb) UTC hourly mean surface measured sulfur dioxide concentration in part-per-billion. AirQuality.aqs.co (ppm) UTC hourly mean surface measured carbon monoxide concentration in part-per-million. AirQuality.aqs.dew_point (C) UTC hourly mean surface measured dew point temperature in degrees celsius. AirQuality.aqs.no2 (ppb) UTC hourly mean surface measured nitrogen dioxide concentration in part-per-billion. AirQuality.aqs.nox (ppb) UTC hourly mean surface measured mono-nitrogen oxides concentration in part-per-billion. AirQuality.aqs.noy (ppb) UTC hourly mean surface measured reactive odd nitrogen concentration in part-per-billion. AirQuality.aqs.ozone (ppb) UTC hourly mean surface measured ozone concentration in part-per-billion. AirQuality.aqs.pams (-) PAMS site ids. AirQuality.aqs.pm10 (ug/m3) UTC hourly mean surface measured particulate matter (aerosols) 10 microns or smaller in diameter in micrograms per cubic meter. AirQuality.aqs.pm25 (ug/m3) UTC hourly mean surface measured particulate matter (aerosols) 2.5 microns or smaller in diameter in micrograms per cubic meter. AirQuality.aqs.pm25_black_carbon (ug/m3) UTC hourly mean surface measured black carbon particulate matter (aerosols) 2.5 microns or smaller in diameter in micrograms per cubic meter. AirQuality.aqs.pressure (hPa) UTC hourly mean surface measured atmospheric pressure in hecto-Pascals. AirQuality.aqs.rh (%) UTC hourly mean surface measured relative humidity in percent. AirQuality.aqs.so2 (ppb) UTC hourly mean surface measured sulfer dioxide concentration in part-per-billion. AirQuality.aqs.solar_radiation (W/m2) UTC hourly mean surface measured solar radiation in Watts per square meter. AirQuality.aqs.temperature (C) UTC hourly mean surface measured temperature in degrees celsius. AirQuality.aqs.wind (m/s) UTC hourly mean surface measured wind resultant vector U-component (east) and V-component (north) in meters per second. AirQuality.aqs.wind_bering (bering) UTC hourly mean surface measured wind bering in compass bering angle degrees where wind comes from. AirQuality.aqs.wind_gust (m/s) UTC hourly maximum surface measured wind gust speed in meters per second. AirQuality.aqs.wind_speed (m/s) UTC hourly maximum surface measured wind speed in meters per second. #AirQuality.purpleair.channel_flag (-) Channel flag: 0 = Normal, 1 = Channel A downgraded, 2 = Channel B downgraded, 3 = Both channels A and B downgraded. #AirQuality.purpleair.channel_state (-) Channel state: 0 = No channels available, 1 = Only channel A available, 2 = Only channel B available, 3 = Both channels A and B available. AirQuality.purpleair.0_3_um_count (particles/100ml) Count concentration of all particles greater than 0.3 microns in diameter, average particle count for channel A and B but excluding downgraded channels. AirQuality.purpleair.0_3_um_count_a (particles/100ml) Count concentration of all particles greater than 0.3 microns in diameter, channel A. AirQuality.purpleair.0_3_um_count_b (particles/100ml) Count concentration of all particles greater than 0.3 microns in diameter, channel B. AirQuality.purpleair.0_5_um_count (particles/100ml) Count concentration of all particles greater than 0.5 microns in diameter, average particle count for channel A and B but excluding downgraded channels. AirQuality.purpleair.0_5_um_count_a (particles/100ml) Count concentration of all particles greater than 0.5 microns in diameter, channel A. AirQuality.purpleair.0_5_um_count_b (particles/100ml) Count concentration of all particles greater than 0.5 microns in diameter, channel B. AirQuality.purpleair.10_um_count (particles/100ml) Count concentration of all particles greater than 10 microns in diameter, average particle count for channel A and B but excluding downgraded channels. AirQuality.purpleair.10_um_count_a (particles/100ml) Count concentration of all particles greater than 10 microns in diameter, channel A. AirQuality.purpleair.10_um_count_b (particles/100ml) Count concentration of all particles greater than 10 microns in diameter, channel B. AirQuality.purpleair.1_um_count (particles/100ml) Count concentration of all particles greater than 1 micron in diameter, average particle count for channel A and B but excluding downgraded channels. AirQuality.purpleair.1_um_count_a (particles/100ml) Count concentration of all particles greater than 1 micron in diameter, channel A. AirQuality.purpleair.1_um_count_b (particles/100ml) Count concentration of all particles greater than 1 micron in diameter, channel B. AirQuality.purpleair.2_5_um_count (particles/100ml) Count concentration of all particles greater than 2.5 microns in diameter, average particle count for channel A and B but excluding downgraded channels. AirQuality.purpleair.2_5_um_count_a (particles/100ml) Count concentration of all particles greater than 2.5 microns in diameter, channel A. AirQuality.purpleair.2_5_um_count_b (particles/100ml) Count concentration of all particles greater than 2.5 microns in diameter, channel B. AirQuality.purpleair.5_um_count (particles/100ml) Count concentration of all particles greater than 5 microns in diameter, average particle count for channel A and B but excluding downgraded channels. AirQuality.purpleair.5_um_count_a (particles/100ml) Count concentration of all particles greater than 5 microns in diameter, channel A. AirQuality.purpleair.5_um_count_b (particles/100ml) Count concentration of all particles greater than 5 microns in diameter, channel B. AirQuality.purpleair.humidity (%) Sensor measured relative humidity inside the sensor housing (on average 4% lower than ambient conditions). AirQuality.purpleair.humidity_hourly (%) Pre-computed (with default filtering) hourly average sensor measured relative humidity inside the sensor housing (on average 4% lower than ambient conditions). AirQuality.purpleair.locations (-) Sensor location. AirQuality.purpleair.ozone1 (ppb) Sensor measured ozone concentration. AirQuality.purpleair.pm1 (ug/m3) Sensor measured particulate matter not more than 1 micron in diameter, average for channel A and B but excluding downgraded channels and using CF=1 variant for indoor, ATM variant for outdoor devices. AirQuality.purpleair.pm10 (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, average for channel A and B but excluding downgraded channels and using CF=1 variant for indoor, ATM variant for outdoor devices. AirQuality.purpleair.pm10_a (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, channel A CF=1 variant for indoor, ATM variant for outdoor devices. AirQuality.purpleair.pm10_atm (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, ATM variant average for channel A and B but excluding downgraded channels. AirQuality.purpleair.pm10_atm_a (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, channel A ATM variant. AirQuality.purpleair.pm10_atm_b (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, channel B ATM variant. AirQuality.purpleair.pm10_b (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, channel B CF=1 variant for indoor, ATM variant for outdoor devices. AirQuality.purpleair.pm10_cf_1 (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, CF=1 variant average for channel A and B but excluding downgraded channels.' AirQuality.purpleair.pm10_cf_1_a (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, channel A CF=1 variant.' AirQuality.purpleair.pm10_cf_1_b (ug/m3) Sensor measured particulate matter not more than 10 microns in diameter, channel B CF=1 variant.' AirQuality.purpleair.pm1_a (ug/m3) Sensor measured particulate matter not more than 1 micron in diameter, channel A CF=1 variant for indoor, ATM variant for outdoor devices.' AirQuality.purpleair.pm1_atm (ug/m3) Sensor measured particulate matter not more than 1 micron in diameter, ATM variant average for channel A and B but excluding downgraded channels.' AirQuality.purpleair.pm1_atm_a (ug/m3) Sensor measured particulate matter not more than 1 micron in diameter, channel A ATM variant.' AirQuality.purpleair.pm1_atm_b (ug/m3) Sensor measured particulate matter not more than 1 micron in diameter, channel B ATM variant.' AirQuality.purpleair.pm1_b (ug/m3) Sensor measured particulate matter not more than 1 micron in diameter, channel B CF=1 variant for indoor, ATM variant for outdoor devices.' AirQuality.purpleair.pm25 (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, average for channel A and B but excluding downgraded channels and using CF=1 variant for indoor, ATM variant for outdoor devices. AirQuality.purpleair.pm25_10minute (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, 10 minute pseudo average using CF=1 data variant for indoor and ATM variant for outdoor, average for channel A and B but excluding downgraded channels. AirQuality.purpleair.pm25_10minute_a (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, 10 minute pseudo average using CF=1 data variant for indoor and ATM variant for outdoor, channel A running average. AirQuality.purpleair.pm25_10minute_b (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, 10 minute pseudo average using CF=1 data variant for indoor and ATM variant for outdoor, channel B running average. AirQuality.purpleair.pm25_60minute (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, 60 minute pseudo average using CF=1 data variant for indoor and ATM variant for outdoor, average for channel A and B but excluding downgraded channels. AirQuality.purpleair.pm25_60minute_a (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, 60 minute pseudo average using CF=1 data variant for indoor and ATM variant for outdoor, channel A running average. AirQuality.purpleair.pm25_60minute_b (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, 60 minute pseudo average using CF=1 data variant for indoor and ATM variant for outdoor, channel B running average. AirQuality.purpleair.pm25_a (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, channel A CF=1 variant for indoor, ATM variant for outdoor devices.' AirQuality.purpleair.pm25_atm (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, ATM variant average for channel A and B but excluding downgraded channels.' AirQuality.purpleair.pm25_atm_a (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, channel A ATM variant.' AirQuality.purpleair.pm25_atm_b (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, channel B ATM variant.' AirQuality.purpleair.pm25_b (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, channel B CF=1 variant for indoor, ATM variant for outdoor devices.' AirQuality.purpleair.pm25_cf_1 (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, CF=1 variant average for channel A and B but excluding downgraded channels.' AirQuality.purpleair.pm25_cf_1_a (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, channel A CF=1 variant.' AirQuality.purpleair.pm25_cf_1_b (ug/m3) Sensor measured particulate matter not more than 2.5 microns in diameter, channel B CF=1 variant.' AirQuality.purpleair.pm25_corrected (ug/m3) Scaled humidity-corrected particulate matter not more than 2.5 microns in diameter. AirQuality.purpleair.pm25_corrected_hourly (ug/m3) Pre-computed (with default filtering) hourly average scaled humidity-corrected particulate matter not more than 2.5 microns in diameter. AirQuality.purpleair.pressure (hPa) Sensor measured atmospheric pressure. AirQuality.purpleair.temperature (C) Temperature inside of the sensor housing. On average, this is 4C higher than ambient conditions. AirQuality.purpleair.temperature_hourly (C) Pre-computed (with default filtering) hourly average temperature inside of the sensor housing. On average, this is 4C higher than ambient conditions. AirQuality.purpleair.voc (IAQ) Sensor measured volatile organic compounds in Bosch static IAQ units as per BME680 spec sheet (EXPERIMENTAL). MeteorologyStations.metar.altimeter (hPa) Pressure from altimeter. MeteorologyStations.metar.dewpoint (C) Dew point temperature. MeteorologyStations.metar.elevation (m) Elevation above mean sea level. MeteorologyStations.metar.maxTemp24Hour (C) Maximum temperature over last 24 hours. MeteorologyStations.metar.minTemp24Hour (C) Minimum temperature over last 24 hours. MeteorologyStations.metar.precip1Hour (mm) Precipitation in last hour. MeteorologyStations.metar.precip24Hour (mm) Precipitation in last 24 hours. MeteorologyStations.metar.precip3Hour (mm) Precipitation in last 3 hours. MeteorologyStations.metar.precip6Hour (mm) Precipitation in last 6 hours. MeteorologyStations.metar.pressChange3Hour (hPa) Pressure change over last 3 hours. MeteorologyStations.metar.relativeHumidity (%) Relative humidity (computed using Magnus approximation formula from temperature and dewPoint). MeteorologyStations.metar.seaLevelPress (hPa) Pressure equivalent at sea level. MeteorologyStations.metar.snowCover (mm) Snow cover. MeteorologyStations.metar.temperature (C) Temperature. MeteorologyStations.metar.visibility (m) Visibility in air. MeteorologyStations.metar.wind (m/s) Wind U (eastward) and V (northward) vector components. MeteorologyStations.metar.windDir (bearing) Degrees bearing angle wind blows from. MeteorologyStations.metar.windGustSpeed (m/s) Wind gust speed. MeteorologyStations.metar.windSpeed (m/s) Wind speed. Aircraft.acam.NO2 (ppb) UTC sub-hourly DISCOVER-AQ ACAM aircraft-measured nitrogen dioxide concentration in part-per-billion. Aircraft.acam.VCD (mol/cm2) UTC sub-hourly DISCOVER-AQ ACAM aircraft-measured vertical column density in molecules per square centimeter. Aircraft.hsrl.Mixing_Height (m) UTC sub-hourly DISCOVER-AQ HSRL aircraft-measured mixing height in meters above ground. Aircraft.mozaic.aircraft_speed (m/s) Aircraft speed relative to the atmosphere. Aircraft.mozaic.co (ppmV) Carbon monoxide. Aircraft.mozaic.ground_speed (m/s) Aircraft speed relative to the ground. Aircraft.mozaic.h2o (g/kg) H2O mass mixing ratio. Aircraft.mozaic.h2o_static_temperature (C) Sensor-measurement-derived temperature. Aircraft.mozaic.no (ppmV) Nitrogen monoxide. Aircraft.mozaic.nox (ppmV) Mono-nitrogen oxides. Aircraft.mozaic.noy (ppmV) Nitrogen constituents. Aircraft.mozaic.ozone (ppmV) Ozone. Aircraft.mozaic.pressure (Pa) Ambient air pressure. Aircraft.mozaic.radio_altitude (m) Radio altimiter measured height in meters above the surface. (Note this is valid only below approximately 2,000m and is measured in the direction of aircraft roll angle). Aircraft.mozaic.relative_humidity (%) Relative humidity with respect to liquid water. Aircraft.mozaic.temperature (C) Air temperature. Aircraft.mozaic.wind (m/s) Wind vector eastward and northward components. Aircraft.mozaic.wind_u (m/s) Wind eastward component. Aircraft.mozaic.wind_v (m/s) Wind northward component. Aircraft.mozaic.profile.aircraft_speed (m/s) Aircraft speed relative to the atmosphere. Aircraft.mozaic.profile.co (ppmV) Carbon monoxide. Aircraft.mozaic.profile.ground_speed (m/s) Aircraft speed relative to the ground. Aircraft.mozaic.profile.h2o (g/kg) H2O mass mixing ratio. Aircraft.mozaic.profile.h2o_static_temperature (C) Sensor-measurement-derived temperature. Aircraft.mozaic.profile.no (ppmV) Nitrogen monoxide. Aircraft.mozaic.profile.nox (ppmV) Mono-nitrogen oxides. Aircraft.mozaic.profile.noy (ppmV) Nitrogen constituents. Aircraft.mozaic.profile.ozone (ppmV) Ozone. Aircraft.mozaic.profile.pressure (Pa) Ambient air pressure. Aircraft.mozaic.profile.radio_altitude (m) Radio altimiter measured height in meters above the surface. (Note this is valid only below approximately 2,000m and is measured in the direction of aircraft roll angle). Aircraft.mozaic.profile.relative_humidity (%) Relative humidity with respect to liquid water. Aircraft.mozaic.profile.temperature (C) Air temperature. Aircraft.mozaic.profile.wind (m/s) Wind vector eastward and northward components. Aircraft.mozaic.profile.wind_u (m/s) Wind eastward component. Aircraft.mozaic.profile.wind_v (m/s) Wind northward component. Aircraft.tad.co (ppmv) Carbon monoxide. Other.ceilometer.NSL_ML_mAGL (m) 10-minute averaged ceilometer-measured 10-minute near-surface PBL retrievals (NSL - ML) in meters above ground level. Other.ceilometer.NSL_ML_stdv_mAGL (m) 10-minute averaged ceilometer-measured 10-minute standard deviations for near-surface PBL retrievals (NSL - ML). Other.ceilometer.Precip_flag (-) 10-minute averaged ceilometer-measured precipitation flag: 0 = none detected, 1 = some detected. Other.ceilometer.RL_mAGL (m) 10-minute averaged ceilometer-measured 10-minute residual layer retrievals (RL) in meters above ground level. Other.ceilometer.RL_stdv_mAGL (m) 10-minute averaged ceilometer-measured 10-minute standard deviations for residual layer retrievals (RL). Other.ceilometer.aerosol_layer_heights (m) Heights of bottom three layers of aerosols in meters above ground, with first layer considered mixing layer height. Other.ceilometer.attenuated_backscatter (/km/sr) 10-minute averaged ceilometer-measured attenuated backscatter profile up to 15,400m above ground. Other.ceilometer.blview_backscatter_profile (10^-9/m/sr) Backscatter profile at 910nm not more than 4,500m above ground. Other.ceilometer.cML (m) 10-minute averaged ceilometer-measured cloud-topped mixing-layer height / cloud-base height during mixing-layer detection periods. Other.ceilometer.cloud_base_heights (m) Heights of bottom three layers of clouds in meters above ground. Other.ceilometer.full_backscatter_profile (10^-9/m/sr) Backscatter profile at 910nm up to 15,400m above ground. Other.ceilometer.mixing_layer_height (m) Mixing layer height in meters above ground. Other.egrid.yearly_ch4 (kg) US power plant 2023 yearly methane emissions. Other.egrid.yearly_ch4_rate (kg/MWh) US power plant 2023 yearly methane emissions rate. Other.egrid.yearly_co2 (kg) US power plant 2023 yearly carbon monoxide emissions. Other.egrid.yearly_co2_rate (kg/MWh) US power plant 2023 yearly carbon monoxide emissions rate. Other.egrid.yearly_n2o (kg) US power plant 2023 yearly nitrous oxides emissions. Other.egrid.yearly_n2o_rate (kg/MWh) US power plant 2023 yearly nitrous oxides emissions rate. Other.egrid.yearly_nox (kg) US power plant 2023 yearly nitrogen oxides emissions. Other.egrid.yearly_nox_rate (kg/MWh) US power plant 2023 yearly nitrogen oxides emissions rate. Other.egrid.yearly_power (Mwh) US power plant 2023 yearly power output. Other.egrid.yearly_so2 (kg) US power plant 2023 yearly sulfur dioxide emissions. Other.egrid.yearly_so2_rate (kg/MWh) US power plant 2023 yearly sulfur dioxide emissions rate. Other.goesbb.burned_area (km2) Burned area. Other.goesbb.ch4_emission (kg) Methane emissions from fire. Other.goesbb.co2_emission (kg) Carbon dioxide emissions from fire. Other.goesbb.co_emission (kg) Carbon monoxide emissions from fire. Other.goesbb.ecosystem (-) Ecosystem numeric code (ask NOAA). Other.goesbb.fuel_loading (Mg/km2) Fire fuel loading. Other.goesbb.n2o_emission (kg) Nitrous oxide emissions from fire. Other.goesbb.nh3_emission (kg) Ammonia emissions from fire. Other.goesbb.nox_emission (kg) Nitrogen oxides emissions from fire. Other.goesbb.pixel_size (km2) Pixel size of detecting satellite data. Other.goesbb.pm25_emission (kg) Aerosol particulaes (of not more than 2.5 microns in diameter) emissions from fire. Other.goesbb.so2_emission (kg) Sulfur dioxide emissions from fire. Other.hms.fire_ecosys (-) NOAA Hazard Mapping System ecological system classification code [1, 100]. Other.hms.fire_power (MW) NOAA Hazard Mapping System fire power in Mega Watts. Other.hms.smoke (ug/m3) NOAA Hazard Mapping System smoke plume area with density in ug/m3. Other.nesdis.ch4 (kg) UTC hourly mean surface satellite-derived methane in kg. Other.nesdis.co (kg) UTC hourly mean surface satellite-derived carbon monoxide in kg. Other.nesdis.co2 (kg) UTC hourly mean surface satellite-derived carbon dioxide in kg. Other.nesdis.n2o (kg) UTC hourly mean surface satellite-derived nitrous oxide in kg. Other.nesdis.nh3 (kg) UTC hourly mean surface satellite-derived ammonia in kg. Other.nesdis.nox (kg) UTC hourly mean surface satellite-derived nitric oxides in kg. Other.nesdis.pm25 (kg) UTC hourly mean surface satellite-derived particulate matter (aerosols) 2.5 microns or smaller in diameter in kg. Other.nesdis.so2 (kg) UTC hourly mean surface satellite-derived sulfer dioxide in kg. Other.nesdis.tnmhc (kg) UTC hourly mean surface satellite-derived total non-methane hydrocarbons in kg. Other.nesdis.pm25sat.daily_pm25 (ug/m3) Daily mean gridded mean surface satellite-derived particulate matter (aerosols) 2.5 microns or smaller in diameter in kg. Other.nesdis.pm25sat.daily_pm25unc (ug/m3) Uncertainty of daily mean gridded mean surface satellite-derived particulate matter (aerosols) 2.5 microns or smaller in diameter in kg. Other.neubrew.ozone (molecules/cm3) Ground-based Brewer Spectrophotometer instrument measured ozone. Other.pandora.L2Tot_rnvs0p1_7.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2Tot_rnvs0p1_7.calibration_file_version (-) Calibration file version Other.pandora.L2Tot_rnvs0p1_7.data_processing_type_index (-) Data processing type index Other.pandora.L2Tot_rnvs0p1_7.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2Tot_rnvs0p1_7.diffuse_correction_for_nitrogen_dioxide (%) Diffuse correction applied before fitting at effective fitting wavelength for nitrogen dioxide, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2Tot_rnvs0p1_7.direct_nitrogen_dioxide_air_mass_factor (-) Direct nitrogen dioxide air mass factor Other.pandora.L2Tot_rnvs0p1_7.expected_normalized_rms_weighted_instrumental_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on instrumental uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rnvs0p1_7.expected_normalized_rms_weighted_measured_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on measured uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rnvs0p1_7.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Tot_rnvs0p1_7.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Tot_rnvs0p1_7.fitting_result_index (-) Fitting result index: 0,1,2=no error or warning, 3,4=warning, >4=error Other.pandora.L2Tot_rnvs0p1_7.integration_time (ms) Integration time Other.pandora.L2Tot_rnvs0p1_7.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Tot_rnvs0p1_7.l2_fit_data_quality_flag (-) Level 2 Fit data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Tot_rnvs0p1_7.l2_quality_flag (-) L2 data quality flag for nitrogen dioxide: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2Tot_rnvs0p1_7.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2Tot_rnvs0p1_7.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2Tot_rnvs0p1_7.mean_nitrogen_dioxide_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2Tot_rnvs0p1_7.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2Tot_rnvs0p1_7.nitrogen_dioxide_total_vertical_column_amount (molecules/cm2) Nitrogen dioxide total vertical column amount Other.pandora.L2Tot_rnvs0p1_7.nitrogen_dioxide_total_vertical_column_amount_uncertainty (molecules/cm2) Uncertainty of nitrogen dioxide total vertical column amount Other.pandora.L2Tot_rnvs0p1_7.normalized_rms_weighted_measured_uncertainty (-) Normalized rms of spectral fitting residuals weighted with measured uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rnvs0p1_7.number_of_dark_count_cycles (-) Number of dark count cycles Other.pandora.L2Tot_rnvs0p1_7.pressure (hPa) Climatological station pressure Other.pandora.L2Tot_rnvs0p1_7.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2Tot_rnvs0p1_7.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2Tot_rnvs0p1_7.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2Tot_rnvs0p1_7.sum_of_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Weighted rms of spectral fitting too large, 3=Wavelength shift too large Other.pandora.L2Tot_rnvs0p1_7.sum_of_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rnvs0p1_7.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=Absolute value of estimated average residual stray light level too high, 6=Although attempted, no wavelength change could be retrieved, 7=Absolute value of retrieved wavelength shift too large, 8=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2Tot_rnvs0p1_7.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rnvs0p1_7.sum_of_nitrogen_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Uncertainty too high, 2=Signal to noise ratio too low, 3=Air mass factor too large Other.pandora.L2Tot_rnvs0p1_7.sum_of_nitrogen_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rnvs0p1_7.temperature (C) Wavelength effective temperature, 999=no effective temperature given Other.pandora.L2Tot_rnvs0p1_7.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2Tot_rnvs0p1_7.wavelength_shift_from_spectral_fitting (nm) Retrieved wavelength shift from spectral fitting, -9=no wavelength change fitting Other.pandora.L2Tot_rnvs1p1_7.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2Tot_rnvs1p1_7.calibration_file_version (-) Calibration file version Other.pandora.L2Tot_rnvs1p1_7.data_processing_type_index (-) Data processing type index Other.pandora.L2Tot_rnvs1p1_7.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2Tot_rnvs1p1_7.diffuse_correction_for_nitrogen_dioxide (%) Diffuse correction applied before fitting at effective fitting wavelength for nitrogen dioxide, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2Tot_rnvs1p1_7.direct_nitrogen_dioxide_air_mass_factor (-) Direct nitrogen dioxide air mass factor Other.pandora.L2Tot_rnvs1p1_7.expected_normalized_rms_weighted_instrumental_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on instrumental uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rnvs1p1_7.expected_normalized_rms_weighted_measured_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on measured uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rnvs1p1_7.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Tot_rnvs1p1_7.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Tot_rnvs1p1_7.fitting_result_index (-) Fitting result index: 0,1,2=no error or warning, 3,4=warning, >4=error Other.pandora.L2Tot_rnvs1p1_7.integration_time (ms) Integration time Other.pandora.L2Tot_rnvs1p1_7.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Tot_rnvs1p1_7.l2_fit_data_quality_flag (-) Level 2 Fit data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Tot_rnvs1p1_7.l2_quality_flag (-) L2 data quality flag for nitrogen dioxide: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2Tot_rnvs1p1_7.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2Tot_rnvs1p1_7.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2Tot_rnvs1p1_7.mean_nitrogen_dioxide_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2Tot_rnvs1p1_7.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2Tot_rnvs1p1_7.nitrogen_dioxide_total_vertical_column_amount (molecules/cm2) Nitrogen dioxide total vertical column amount, -9e99=retrieval not successful Other.pandora.L2Tot_rnvs1p1_7.nitrogen_dioxide_total_vertical_column_amount_uncertainty (molecules/cm2) Uncertainty of nitrogen dioxide total vertical column amount based on measured uncertainty, -8=retrieval not successful, -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no uncertainty could be retrieved Other.pandora.L2Tot_rnvs1p1_7.normalized_rms_weighted_measured_uncertainty (-) Normalized rms of spectral fitting residuals weighted with measured uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rnvs1p1_7.number_of_dark_count_cycles (-) Number of dark count cycles Other.pandora.L2Tot_rnvs1p1_7.pressure (hPa) Climatological station pressure Other.pandora.L2Tot_rnvs1p1_7.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2Tot_rnvs1p1_7.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2Tot_rnvs1p1_7.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2Tot_rnvs1p1_7.sum_of_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Weighted rms of spectral fitting too large, 3=Wavelength shift too large Other.pandora.L2Tot_rnvs1p1_7.sum_of_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rnvs1p1_7.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=Absolute value of estimated average residual stray light level too high, 6=Although attempted, no wavelength change could be retrieved, 7=Absolute value of retrieved wavelength shift too large, 8=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2Tot_rnvs1p1_7.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rnvs1p1_7.sum_of_nitrogen_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Uncertainty too high, 2=Signal to noise ratio too low, 3=Air mass factor too large Other.pandora.L2Tot_rnvs1p1_7.sum_of_nitrogen_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rnvs1p1_7.temperature (C) Wavelength effective temperature Other.pandora.L2Tot_rnvs1p1_7.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2Tot_rnvs1p1_7.wavelength_shift_from_spectral_fitting (nm) Retrieved wavelength shift from spectral fitting, -9=no wavelength change fitting Other.pandora.L2Tot_rout0p1_7.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2Tot_rout0p1_7.calibration_file_version (-) Calibration file version Other.pandora.L2Tot_rout0p1_7.data_processing_type_index (-) Data processing type index Other.pandora.L2Tot_rout0p1_7.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2Tot_rout0p1_7.diffuse_correction_for_ozone (%) Diffuse correction applied before fitting at effective fitting wavelength for ozone, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2Tot_rout0p1_7.diffuse_correction_for_sulfur_dioxide (%) Diffuse correction applied before fitting at effective fitting wavelength for sulfur dioxide, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2Tot_rout0p1_7.direct_ozone_air_mass_factor (-) Direct ozone air mass factor Other.pandora.L2Tot_rout0p1_7.direct_sulfur_dioxide_air_mass_factor (-) Direct sulfur dioxide air mass factor Other.pandora.L2Tot_rout0p1_7.expected_normalized_rms_weighted_instrumental_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on instrumental uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rout0p1_7.expected_normalized_rms_weighted_measured_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on measured uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rout0p1_7.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Tot_rout0p1_7.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Tot_rout0p1_7.fitting_result_index (-) Fitting result index: 0,1,2=no error or warning, 3,4=warning, >4=error Other.pandora.L2Tot_rout0p1_7.integration_time (ms) Integration time Other.pandora.L2Tot_rout0p1_7.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Tot_rout0p1_7.l2_fit_data_quality_flag (-) Level 2 Fit data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Tot_rout0p1_7.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2Tot_rout0p1_7.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2Tot_rout0p1_7.mean_sulfur_dioxide_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2Tot_rout0p1_7.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2Tot_rout0p1_7.normalized_rms_weighted_measured_uncertainty (-) Normalized rms of spectral fitting residuals weighted with measured uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2Tot_rout0p1_7.number_of_dark_count_cycles (-) Number of dark count cycles Other.pandora.L2Tot_rout0p1_7.ozone_l2_quality_flag (-) L2 data quality flag for ozone: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2Tot_rout0p1_7.ozone_total_vertical_column_amount (molecules/cm2) Ozone total vertical column amount, -9e99=retrieval not successful Other.pandora.L2Tot_rout0p1_7.ozone_total_vertical_column_amount_uncertainty (molecules/cm2) Uncertainty of ozone total vertical column amount based on measured uncertainty, -8=retrieval not successful, -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no uncertainty could be retrieved Other.pandora.L2Tot_rout0p1_7.pressure (hPa) Climatological station pressure Other.pandora.L2Tot_rout0p1_7.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2Tot_rout0p1_7.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2Tot_rout0p1_7.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2Tot_rout0p1_7.sulfur_dioxide_l2_quality_flag (-) L2 data quality flag for sulfur dioxide: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2Tot_rout0p1_7.sulfur_dioxide_total_vertical_column_amount (molecules/cm2) Sulfur dioxide total vertical column amount, -9e99=retrieval not successful Other.pandora.L2Tot_rout0p1_7.sulfur_dioxide_total_vertical_column_amount_uncertainty (molecules/cm2) Uncertainty of sulfur dioxide total vertical column amount based on measured uncertainty, -8=retrieval not successful, -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no uncertainty could be retrieved Other.pandora.L2Tot_rout0p1_7.sum_of_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Weighted rms of spectral fitting too large, 3=Wavelength shift too large Other.pandora.L2Tot_rout0p1_7.sum_of_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rout0p1_7.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=Absolute value of estimated average residual stray light level too high, 6=Although attempted, no wavelength change could be retrieved, 7=Absolute value of retrieved wavelength shift too large, 8=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2Tot_rout0p1_7.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rout0p1_7.sum_of_ozone_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for ozone exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Uncertainty too high, 2=Signal to noise ratio too low, 3=Air mass factor too large Other.pandora.L2Tot_rout0p1_7.sum_of_ozone_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for ozone exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Tot_rout0p1_7.sum_of_sulfur_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for sulfur dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Uncertainty too high, 2=Signal to noise ratio too low, 3=Air mass factor too large Other.pandora.L2Tot_rout0p1_7.sum_of_sulfur_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for sulfur dioxide exceeds the DQ2 limit (same parameters as for DQ1 Other.pandora.L2Tot_rout0p1_7.temperature (C) Wavelength effective temperature Other.pandora.L2Tot_rout0p1_7.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2Tot_rout0p1_7.wavelength_shift_from_spectral_fitting (nm) Retrieved wavelength shift from spectral fitting, -9=no wavelength change fitting Other.pandora.L2Trop_rnvh1p1_7.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2Trop_rnvh1p1_7.calibration_file_version (-) Calibration file version Other.pandora.L2Trop_rnvh1p1_7.data_processing_type_index (-) Data processing type index Other.pandora.L2Trop_rnvh1p1_7.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2Trop_rnvh1p1_7.direct_nitrogen_dioxide_air_mass_factor (-) Direct nitrogen dioxide air mass factor Other.pandora.L2Trop_rnvh1p1_7.direct_water_vapor_air_mass_factor (-) Direct water vapor air mass factor Other.pandora.L2Trop_rnvh1p1_7.fitting_result_index (-) Maximum fitting result index: 0,1,2=no error or warning, 3,4=warning, >4=error Other.pandora.L2Trop_rnvh1p1_7.maximum_expected_normalized_rms_weighted_instrumental_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on instrumental uncertainty, maximum of all sets Other.pandora.L2Trop_rnvh1p1_7.maximum_expected_normalized_rms_weighted_measured_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on measured uncertainty, maximum of all sets Other.pandora.L2Trop_rnvh1p1_7.maximum_filterwheel1_position (-) Effective position of filterwheel #1, maximum of all sets, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Trop_rnvh1p1_7.maximum_filterwheel2_position (-) Effective position of filterwheel #2, maximum of all sets, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Trop_rnvh1p1_7.maximum_integration_time (ms) Integration time, maximum of all sets Other.pandora.L2Trop_rnvh1p1_7.maximum_l1_data_quality_flag (-) Level 1 data quality flag, maximum of all sets: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Trop_rnvh1p1_7.maximum_l2_fit_data_quality_flag (-) Level 2 Fit data quality flag, maximum of all sets: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Trop_rnvh1p1_7.maximum_normalized_rms_weighted_measured_uncertainty (-) Normalized rms of spectral fitting residuals weighted with measured uncertainty, maximum of all sets Other.pandora.L2Trop_rnvh1p1_7.maximum_number_of_dark_count_cycles (-) Number of dark count cycles, maximum of all sets Other.pandora.L2Trop_rnvh1p1_7.maximum_residual_stray_light_level (%) Estimated average residual stray light level, maximum of all sets (only valid for stray light correction methods 2 and higher) Other.pandora.L2Trop_rnvh1p1_7.maximum_wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, maximum of all sets, -9=no wavelength change determination Other.pandora.L2Trop_rnvh1p1_7.maximum_wavelength_shift_from_spectral_fitting (nm) Retrieved wavelength shift from spectral fitting, maximum of all sets, -9=no wavelength change fitting Other.pandora.L2Trop_rnvh1p1_7.mean_expected_normalized_rms_weighted_instrumental_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on instrumental uncertainty, mean over all sets Other.pandora.L2Trop_rnvh1p1_7.mean_expected_normalized_rms_weighted_measured_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on measured uncertainty, mean over all sets Other.pandora.L2Trop_rnvh1p1_7.mean_normalized_rms_weighted_measured_uncertainty (-) Normalized rms of spectral fitting residuals weighted with measured uncertainty, mean over all sets Other.pandora.L2Trop_rnvh1p1_7.mean_number_of_dark_count_cycles (-) Number of dark count cycles, mean over all sets Other.pandora.L2Trop_rnvh1p1_7.mean_residual_stray_light_level (%) Estimated average residual stray light level, mean over all sets (only valid for stray light correction methods 2 and higher) Other.pandora.L2Trop_rnvh1p1_7.mean_wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, mean over all sets, -9=no wavelength change determination Other.pandora.L2Trop_rnvh1p1_7.mean_wavelength_shift_from_spectral_fitting (nm) Retrieved wavelength shift from spectral fitting, mean over all sets, -9=no wavelength change fitting Other.pandora.L2Trop_rnvh1p1_7.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2Trop_rnvh1p1_7.minimum_expected_normalized_rms_weighted_instrumental_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on instrumental uncertainty, minimum of all sets Other.pandora.L2Trop_rnvh1p1_7.minimum_expected_normalized_rms_weighted_measured_uncertainty (-) Expected normalized rms of weighted spectral fitting residuals based on measured uncertainty, minimum of all sets Other.pandora.L2Trop_rnvh1p1_7.minimum_filterwheel1_position (-) Effective position of filterwheel #1, minimum of all sets, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Trop_rnvh1p1_7.minimum_filterwheel2_position (-) Effective position of filterwheel #2, minimum of all sets, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2Trop_rnvh1p1_7.minimum_integration_time (ms) Integration time, minimum of all sets Other.pandora.L2Trop_rnvh1p1_7.minimum_l1_data_quality_flag (-) Level 1 data quality flag, minimum of all sets: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Trop_rnvh1p1_7.minimum_l2_fit_data_quality_flag (-) Level 2 Fit data quality flag, minimum of all sets: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2Trop_rnvh1p1_7.minimum_normalized_rms_weighted_measured_uncertainty (-) Normalized rms of spectral fitting residuals weighted with measured uncertainty, minimum of all sets Other.pandora.L2Trop_rnvh1p1_7.minimum_number_of_dark_count_cycles (-) Number of dark count cycles, minimum of all sets Other.pandora.L2Trop_rnvh1p1_7.minimum_residual_stray_light_level (%) Estimated average residual stray light level, minimum of all sets (only valid for stray light correction methods 2 and higher) Other.pandora.L2Trop_rnvh1p1_7.minimum_wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, minimum of all sets, -9=no wavelength change determination Other.pandora.L2Trop_rnvh1p1_7.minimum_wavelength_shift_from_spectral_fitting (nm) Retrieved wavelength shift from spectral fitting, minimum of all sets, -9=no wavelength change fitting Other.pandora.L2Trop_rnvh1p1_7.nitrogen_dioxide_heterogeneity_flag (-) Nitrogen dioxide heterogeneity flag, 0=well mixed conditions, 1=heterogeneous conditions, -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.nitrogen_dioxide_l2_quality_flag (-) L2 data quality flag for nitrogen dioxide: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2Trop_rnvh1p1_7.nitrogen_dioxide_surface (ppb) Nitrogen dioxide surface concentration, -9e99=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.nitrogen_dioxide_surface_index (-) Nitrogen dioxide surface concentration index, integer >0 (see manual), -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.nitrogen_dioxide_surface_uncertainty (ppb) Uncertainty of nitrogen dioxide surface concentration, -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.nitrogen_dioxide_tropospheric (molecules/cm2) Nitrogen dioxide tropospheric vertical column amount, -9e99=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.nitrogen_dioxide_tropospheric_uncertainty (molecules/cm2) Uncertainty of nitrogen dioxide tropospheric vertical column amount, -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.o2o2_height (m) Climatological effective O2O2 height Other.pandora.L2Trop_rnvh1p1_7.pointing_azimuth_angle (deg) Pointing azimuth trig angle for center of measurement in degree Other.pandora.L2Trop_rnvh1p1_7.pointing_zenith_angle (deg) Pointing zenith angle for center of measurement in degree Other.pandora.L2Trop_rnvh1p1_7.pressure (hPa) Climatological station pressure Other.pandora.L2Trop_rnvh1p1_7.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2Trop_rnvh1p1_7.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2Trop_rnvh1p1_7.sum_of_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, maximum of all sets, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Weighted rms of spectral fitting too large, 3=Wavelength shift too large Other.pandora.L2Trop_rnvh1p1_7.sum_of_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit, maximum of all sets (same parameters as for DQ1) Other.pandora.L2Trop_rnvh1p1_7.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, maximum of all sets, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=Absolute value of estimated average residual stray light level too high, 6=Although attempted, no wavelength change could be retrieved, 7=Absolute value of retrieved wavelength shift too large, 8=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2Trop_rnvh1p1_7.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit, maximum of all sets (same parameters as for DQ1) Other.pandora.L2Trop_rnvh1p1_7.sum_of_nitrogen_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Uncertainty too high, 2=Signal to noise ratio too low, 3=Air mass factor too large Other.pandora.L2Trop_rnvh1p1_7.sum_of_nitrogen_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Trop_rnvh1p1_7.sum_of_water_vapor_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for water vapor exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Uncertainty too high, 2=Signal to noise ratio too low, 3=Air mass factor too large Other.pandora.L2Trop_rnvh1p1_7.sum_of_water_vapor_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for water vapor exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2Trop_rnvh1p1_7.temperature (C) Climatological station temperature Other.pandora.L2Trop_rnvh1p1_7.water_vapor_heterogeneity_flag (-) Water vapor heterogeneity flag, 0=well mixed conditions, 1=heterogeneous conditions, -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.water_vapor_l2_quality_flag (-) L2 data quality flag for water vapor: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2Trop_rnvh1p1_7.water_vapor_surface (ppb) Water vapor surface concentration, -9e99=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.water_vapor_surface_index (-) Water vapor surface concentration index, integer >0 (see manual), -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.water_vapor_surface_uncertainty (ppb) Uncertainty of water vapor surface concentration, -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.water_vapor_tropospheric (cm) Water vapor tropospheric vertical column amount, -9e99=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.water_vapor_tropospheric_uncertainty (cm) Uncertainty of water vapor tropospheric vertical column amount, -8=retrieval not successful Other.pandora.L2Trop_rnvh1p1_7.wavelength_temperature (C) Wavelength effective temperature, mean over all sets, 999=no effective temperature given Other.pandora.L2_rfuh5p1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rfuh5p1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rfuh5p1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rfuh5p1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rfuh5p1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rfuh5p1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rfuh5p1_8.expected_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rfuh5p1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rfuh5p1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rfuh5p1_8.formaldehyde_heterogeneity_flag (-) Formaldehyde heterogeneity flag, 0=well mixed conditions, 1=heterogeneous conditions, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rfuh5p1_8.formaldehyde_l2_quality_flag (-) L2 data quality flag for formaldehyde, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rfuh5p1_8.formaldehyde_layer_amount (molecules/cm2) Partial formaldehyde vertical column amount in layer 1 Other.pandora.L2_rfuh5p1_8.formaldehyde_layer_top_height (m) Top height of formaldehyde layer 1 Other.pandora.L2_rfuh5p1_8.formaldehyde_tropospheric_vertical_column_amount (molecules/cm2) Formaldehyde tropospheric vertical column amount, -9e99=retrieval not successful Other.pandora.L2_rfuh5p1_8.formaldehyde_tropospheric_vertical_column_amount_uncertainty (molecules/cm2) Independent uncertainty of formaldehyde tropospheric vertical column amount, -4=tropospheric column was estimated from direct sun measurements using effective temperature, -5=tropospheric column was estimated from direct sun measurements using stratospheric climatology, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rfuh5p1_8.integration_time (ms) Integration time Other.pandora.L2_rfuh5p1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rfuh5p1_8.l2_fit_quality_flag (-) L2 fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rfuh5p1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rfuh5p1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rfuh5p1_8.maximum_horizontal_distance_formaldehyde_tropospheric_column (m) Maximum horizontal distance for formaldehyde tropospheric column Other.pandora.L2_rfuh5p1_8.maximum_vertical_distance_formaldehyde_tropospheric_column (m) Maximum vertical distance for formaldehyde tropospheric column Other.pandora.L2_rfuh5p1_8.mean_formaldehyde_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rfuh5p1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rfuh5p1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rfuh5p1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rfuh5p1_8.o2_height (m) Climatological effective O2 height Other.pandora.L2_rfuh5p1_8.o2o2_height (m) Climatological effective O2O2 height Other.pandora.L2_rfuh5p1_8.pointing_azimuth_angle (deg) Pointing azimuth trig angle for measurement center Other.pandora.L2_rfuh5p1_8.pointing_zenith_angle (deg) Pointing zenith angle for measurement center Other.pandora.L2_rfuh5p1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rfuh5p1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rfuh5p1_8.resolution_change (%) Retrieved resolution change Other.pandora.L2_rfuh5p1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rfuh5p1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rfuh5p1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rfuh5p1_8.sum_of_formaldehyde_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for formaldehyde exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rfuh5p1_8.sum_of_formaldehyde_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for formaldehyde exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rfuh5p1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rfuh5p1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rfuh5p1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rfuh5p1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rfuh5p1_8.surface_formaldehyde (mol/m3) Formaldehyde surface concentration, -9e99=retrieval not successful Other.pandora.L2_rfuh5p1_8.surface_formaldehyde_index (-) Formaldehyde surface concentration index, 1=Fully mixed case from extrapolation to horizon, 2=Fully mixed case from largest pointing zenith angle, 3=Heterogeneous case from extrapolation to horizon, 4=Heterogeneous case from largest pointing zenith angle, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rfuh5p1_8.surface_formaldehyde_uncertainty (mol/m3) Independent uncertainty of formaldehyde surface concentration, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rfuh5p1_8.surface_o2 (mol/m3) Climatological surface O2 concentration Other.pandora.L2_rfuh5p1_8.surface_o2o2 (mol2/m6) Climatological surface O2O2 concentration Other.pandora.L2_rfuh5p1_8.temperature (C) Climatological station temperature Other.pandora.L2_rfuh5p1_8.total_o2_column (molecules/cm2) Climatological total O2 column Other.pandora.L2_rfuh5p1_8.total_o2o2_column (mol2/m5) Climatological total O2O2 colum Other.pandora.L2_rfuh5p1_8.total_wavelength_shift (nm) Retrieved total wavelength shift Other.pandora.L2_rfuh5p1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rfuh5p1_8.wavelength_temperature (C) Wavelength effective temperature Other.pandora.L2_rfus5p1_8.aerosol_optical_depth_center (-) Estimated aerosol optical depth at center wavelength of fitting window Other.pandora.L2_rfus5p1_8.aerosol_optical_depth_end (-) Estimated aerosol optical depth at ending wavelength of fitting window Other.pandora.L2_rfus5p1_8.aerosol_optical_depth_start (-) Estimated aerosol optical depth at starting wavelength of fitting window Other.pandora.L2_rfus5p1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rfus5p1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rfus5p1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rfus5p1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rfus5p1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rfus5p1_8.diffuse_correction_for_formaldehyde (%) Diffuse correction applied before fitting at effective fitting wavelength for formaldehyde, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2_rfus5p1_8.direct_formaldehyde_air_mass_factor (-) Direct formaldehyde air mass factor Other.pandora.L2_rfus5p1_8.direct_formaldehyde_air_mass_factor_uncertainty (-) Uncertainty of direct formaldehyde air mass factor, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rfus5p1_8.expected_normalized_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rfus5p1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rfus5p1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rfus5p1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rfus5p1_8.fomaldehyde_l2_quality_flag (-) L2 data quality flag for formaldehyde, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rfus5p1_8.formaldehyde_total_vertical_column_amount (molecules/cm2) Formaldehyde total vertical column amount, -9e99=retrieval not successful Other.pandora.L2_rfus5p1_8.formaldehyde_vertical_column_amount_common_uncertainty (molecules/cm2) Common uncertainty of formaldehyde total vertical column amount , -1=cross section is zero in this wavelength range, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.formaldehyde_vertical_column_amount_independent_uncertainty (molecules/cm2) Independent uncertainty of formaldehyde total vertical column amount, -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.formaldehyde_vertical_column_amount_rms_uncertainty (molecules/cm2) rms-based uncertainty of formaldehyde total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.formaldehyde_vertical_column_amount_structured_uncertainty (molecules/cm2) Structured uncertainty of formaldehyde total vertical column amount, -1=cross section is zero in this wavelength range, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.formaldehyde_vertical_column_amount_uncertainty (molecules/cm2) Total uncertainty of formaldehyde total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rfus5p1_8.integration_time (ms) Integration time Other.pandora.L2_rfus5p1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rfus5p1_8.l2_fit_quality_flag (-) L2Fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rfus5p1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rfus5p1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rfus5p1_8.mean_formaldehyde_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rfus5p1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rfus5p1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rfus5p1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rfus5p1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rfus5p1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rfus5p1_8.resolution_change (%) Retrieved resolution change, -999=no resolution change fitting Other.pandora.L2_rfus5p1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rfus5p1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rfus5p1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rfus5p1_8.sum_of_formaldehyde_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for formaldehyde exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rfus5p1_8.sum_of_formaldehyde_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for formaldehyde exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rfus5p1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rfus5p1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rfus5p1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rfus5p1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rfus5p1_8.temperature (C) Formaldehyde effective temperature Other.pandora.L2_rfus5p1_8.temperature_common_uncertainty (C) Common uncertainty of formaldehyde effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.temperature_independent_uncertainty (C) Independent uncertainty of formaldehyde effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.temperature_structured_uncertainty (C) Structured uncertainty of formaldehyde effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.temperature_uncertainty (C) Total uncertainty of formaldehyde effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty or common uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rfus5p1_8.total_wavelength_shift (nm) Retrieved total wavelength shift, -9=no wavelength change fitting Other.pandora.L2_rfus5p1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rfus5p1_8.wavelength_temperature (C) Wavelength effective temperature Other.pandora.L2_rnvh3p1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rnvh3p1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rnvh3p1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rnvh3p1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rnvh3p1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rnvh3p1_8.expected_normalized_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvh3p1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvh3p1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rnvh3p1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rnvh3p1_8.integration_time (ms) Integration time Other.pandora.L2_rnvh3p1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rnvh3p1_8.l2_fit_quality_flag (-) L2Fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rnvh3p1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rnvh3p1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rnvh3p1_8.maximum_horizontal_distance_nitrogen_dioxide_tropospheric_column (m) Maximum horizontal distance for nitrogen dioxide tropospheric column Other.pandora.L2_rnvh3p1_8.maximum_horizontal_distance_water_vapor_tropospheric_column (m) Maximum horizontal distance for water vapor tropospheric column Other.pandora.L2_rnvh3p1_8.maximum_vertical_distance_nitrogen_dioxide_tropospheric_column (m) Maximum vertical distance for nitrogen dioxide tropospheric column Other.pandora.L2_rnvh3p1_8.maximum_vertical_distance_water_vapor_tropospheric_column (m) Maximum vertical distance for water vapor tropospheric column Other.pandora.L2_rnvh3p1_8.mean_formaldehyde_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rnvh3p1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rnvh3p1_8.nitrogen_dioxide_heterogeneity_flag (-) Nitrogen dioxide heterogeneity flag, 0=well mixed conditions, 1=heterogeneous conditions, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rnvh3p1_8.nitrogen_dioxide_l2_quality_flag (-) L2 data quality flag for nitrogen dioxide, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rnvh3p1_8.nitrogen_dioxide_layer_amount (molecules/cm2) Partial nitrogen dioxide vertical column amount in layer 1 , -9e99=retrieval not successful Other.pandora.L2_rnvh3p1_8.nitrogen_dioxide_layer_top_height (m) Top height of nitrogen dioxide layer 1, -6=no profile was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rnvh3p1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvh3p1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rnvh3p1_8.o2_height (m) Climatological effective O2 height Other.pandora.L2_rnvh3p1_8.o2o2_height (m) Climatological effective O2O2 height Other.pandora.L2_rnvh3p1_8.pointing_azimuth_angle (deg) Pointing azimuth trig angle for measurement center Other.pandora.L2_rnvh3p1_8.pointing_zenith_angle (deg) Pointing zenith angle for measurement center Other.pandora.L2_rnvh3p1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rnvh3p1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rnvh3p1_8.resolution_change (%) Retrieved resolution change, -999=no resolution change fitting Other.pandora.L2_rnvh3p1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rnvh3p1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rnvh3p1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rnvh3p1_8.stratospheric_nitrogen_dioxide (-) Climatological nitrogen dioxide stratospheric column amount Other.pandora.L2_rnvh3p1_8.stratospheric_nitrogen_dioxide_uncertainty (-) Uncertainty of climatological nitrogen dioxide stratospheric column amount Other.pandora.L2_rnvh3p1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rnvh3p1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvh3p1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rnvh3p1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvh3p1_8.sum_of_nitrogen_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rnvh3p1_8.sum_of_nitrogen_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvh3p1_8.sum_of_water_vapor_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for water vapor exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rnvh3p1_8.sum_of_water_vapor_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for water vapor exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvh3p1_8.surface_nitrogen_dioxide (mol/m3) Nitrogen dioxide surface concentration Other.pandora.L2_rnvh3p1_8.surface_nitrogen_dioxide_index (-) Nitrogen dioxide surface concentration index, 1=Fully mixed case from extrapolation to horizon, 2=Fully mixed case from largest pointing zenith angle, 3=Heterogeneous case from extrapolation to horizon, 4=Heterogeneous case from largest pointing zenith angle, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rnvh3p1_8.surface_nitrogen_dioxide_uncertainty (mol/m3) Independent uncertainty of nitrogen dioxide surface concentration, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rnvh3p1_8.surface_o2 (mol/m3) Climatological surface O2 concentration Other.pandora.L2_rnvh3p1_8.surface_o2o2 (mol2/m6) Climatological surface O2O2 concentration Other.pandora.L2_rnvh3p1_8.surface_water_vapor (mol/m3) Water vapor surface concentration, -9e99=retrieval not successful Other.pandora.L2_rnvh3p1_8.surface_water_vapor_index (-) Water vapor surface concentration index, 1=Fully mixed case from extrapolation to horizon, 2=Fully mixed case from largest pointing zenith angle, 3=Heterogeneous case from extrapolation to horizon, 4=Heterogeneous case from largest pointing zenith angle, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rnvh3p1_8.surface_water_vapor_uncertainty (mol/m3) Independent uncertainty of water vapor surface concentration, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rnvh3p1_8.temperature (C) Climatological station temperature Other.pandora.L2_rnvh3p1_8.total_o2_column (molecules/cm2) Climatological total O2 column Other.pandora.L2_rnvh3p1_8.total_o2o2_column (mol2/m5) Climatological total O2O2 column Other.pandora.L2_rnvh3p1_8.total_wavelength_shift (nm) Retrieved total wavelength shift, -9=no wavelength change fitting Other.pandora.L2_rnvh3p1_8.tropospheric_nitrogen_dioxide (-) Nitrogen dioxide tropospheric vertical column amount Other.pandora.L2_rnvh3p1_8.tropospheric_nitrogen_dioxide_uncertainty (-) Independent uncertainty of nitrogen dioxide tropospheric vertical column amount , -4=tropospheric column was estimated from direct sun measurements using effective temperature, -5=tropospheric column was estimated from direct sun measurements using stratospheric climatology, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rnvh3p1_8.water_vapor_heterogeneity_flag (-) Water vapor heterogeneity flag, 0=well mixed conditions, 1=heterogeneous conditions, -6=no surface concentration was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rnvh3p1_8.water_vapor_l2_quality_flag (-) L2 data quality flag for water vapor, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rnvh3p1_8.water_vapor_layer_amount (molecules/cm2) Partial water vapor vertical column amount in layer 1 , -9e99=retrieval not successful Other.pandora.L2_rnvh3p1_8.water_vapor_layer_top_height (m) Top height of water vapor layer 1, -6=no profile was retrieved since the maximum viewing zenith angle was below 87deg Other.pandora.L2_rnvh3p1_8.water_vapor_tropospheric_vertical_column_amount (molecules/cm2) Water vapor tropospheric vertical column amount , -9e99=retrieval not successful Other.pandora.L2_rnvh3p1_8.water_vapor_tropospheric_vertical_column_amount_uncertainty (molecules/cm2) Independent uncertainty of water vapor tropospheric vertical column amount , -4=tropospheric column was estimated from direct sun measurements using effective temperature, -5=tropospheric column was estimated from direct sun measurements using stratospheric climatology, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rnvh3p1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rnvh3p1_8.wavelength_temperature (C) Wavelength effective temperature Other.pandora.L2_rnvs3p1_8.aerosol_optical_depth_center (-) Estimated aerosol optical depth at center wavelength of fitting window Other.pandora.L2_rnvs3p1_8.aerosol_optical_depth_end (-) Estimated aerosol optical depth at ending wavelength of fitting window Other.pandora.L2_rnvs3p1_8.aerosol_optical_depth_start (-) Estimated aerosol optical depth at starting wavelength of fitting window Other.pandora.L2_rnvs3p1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rnvs3p1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rnvs3p1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rnvs3p1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rnvs3p1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rnvs3p1_8.diffuse_correction (-) Diffuse correction applied before fitting at effective fitting wavelength for nitrogen dioxide, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2_rnvs3p1_8.direct_nitrogen_dioxide_air_mass_factor (-) Direct nitrogen dioxide air mass factor Other.pandora.L2_rnvs3p1_8.direct_nitrogen_dioxide_air_mass_factor_uncertainty (-) Uncertainty of direct nitrogen dioxide air mass factor, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rnvs3p1_8.expected_normalized_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvs3p1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvs3p1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rnvs3p1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rnvs3p1_8.integration_time (ms) Integration time Other.pandora.L2_rnvs3p1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rnvs3p1_8.l2_fit_quality_flag (-) L2Fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rnvs3p1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rnvs3p1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rnvs3p1_8.mean_nitrogen_dioxide_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rnvs3p1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rnvs3p1_8.nitrogen_dioxide_l2_quality_flag (-) L2 data quality flag for nitrogen dioxide, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rnvs3p1_8.nitrogen_dioxide_vertical_column_amount (molecules/cm2) Nitrogen dioxide total vertical column amount Other.pandora.L2_rnvs3p1_8.nitrogen_dioxide_vertical_column_common_uncertainty (molecules/cm2) Total uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rnvs3p1_8.nitrogen_dioxide_vertical_column_independent_uncertainty (molecules/cm2) Independent uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvs3p1_8.nitrogen_dioxide_vertical_column_structured_uncertainty (molecules/cm2) Structured uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rnvs3p1_8.nitrogen_dioxide_vertical_column_uncertainty (molecules/cm2) Total uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rnvs3p1_8.nitrogen_dioxide_vertical_rms_uncertainty (molecules/cm2) rms-based uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -9=spectral fitting was not successful Other.pandora.L2_rnvs3p1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvs3p1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rnvs3p1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rnvs3p1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rnvs3p1_8.resolution_change (%) Retrieved resolution change, -999=no resolution change fitting Other.pandora.L2_rnvs3p1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rnvs3p1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rnvs3p1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rnvs3p1_8.stratospheric_nitrogen_dioxide (molecules/cm2) Climatological nitrogen dioxide stratospheric column amount Other.pandora.L2_rnvs3p1_8.stratospheric_nitrogen_dioxide_uncertainty (molecules/cm2) Uncertainty of climatological nitrogen dioxide stratospheric column amount Other.pandora.L2_rnvs3p1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rnvs3p1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvs3p1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rnvs3p1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvs3p1_8.sum_of_nitrogen_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rnvs3p1_8.sum_of_nitrogen_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvs3p1_8.temperature (C) Nitrogen dioxide effective temperature Other.pandora.L2_rnvs3p1_8.temperature_common_uncertainty (C) Common uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvs3p1_8.temperature_independent_uncertainty (C) Independent uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvs3p1_8.temperature_structured_uncertainty (C) Structured uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -9=spectral fitting was not successful Other.pandora.L2_rnvs3p1_8.temperature_uncertainty (C) Total uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty or common uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvs3p1_8.total_wavelength_shift (nm) Retrieved total wavelength shift, -9=no wavelength change fitting Other.pandora.L2_rnvs3p1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rnvs3p1_8.wavelength_temperature (C) Wavelength effective temperature, 999=no effective temperature given Other.pandora.L2_rnvssp1_8.aerosol_optical_depth_center (-) Estimated aerosol optical depth at center wavelength of fitting window Other.pandora.L2_rnvssp1_8.aerosol_optical_depth_end (-) Estimated aerosol optical depth at ending wavelength of fitting window Other.pandora.L2_rnvssp1_8.aerosol_optical_depth_start (-) Estimated aerosol optical depth at starting wavelength of fitting window Other.pandora.L2_rnvssp1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rnvssp1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rnvssp1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rnvssp1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rnvssp1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rnvssp1_8.diffuse_correction (-) Diffuse correction applied before fitting at effective fitting wavelength for nitrogen dioxide, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2_rnvssp1_8.direct_nitrogen_dioxide_air_mass_factor (-) Direct nitrogen dioxide air mass factor Other.pandora.L2_rnvssp1_8.direct_nitrogen_dioxide_air_mass_factor_uncertainty (-) Uncertainty of direct nitrogen dioxide air mass factor, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rnvssp1_8.expected_normalized_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvssp1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvssp1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rnvssp1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rnvssp1_8.integration_time (ms) Integration time Other.pandora.L2_rnvssp1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rnvssp1_8.l2_fit_quality_flag (-) L2Fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rnvssp1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rnvssp1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rnvssp1_8.mean_nitrogen_dioxide_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rnvssp1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rnvssp1_8.nitrogen_dioxide_l2_quality_flag (-) L2 data quality flag for nitrogen dioxide, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rnvssp1_8.nitrogen_dioxide_vertical_column_amount (molecules/cm2) Nitrogen dioxide total vertical column amount , -9e99=retrieval not successful Other.pandora.L2_rnvssp1_8.nitrogen_dioxide_vertical_column_common_uncertainty (molecules/cm2) Common uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.nitrogen_dioxide_vertical_column_independent_uncertainty (molecules/cm2) Independent uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.nitrogen_dioxide_vertical_column_structured_uncertainty (molecules/cm2) Structured uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.nitrogen_dioxide_vertical_column_uncertainty (molecules/cm2) Total uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rnvssp1_8.nitrogen_dioxide_vertical_rms_uncertainty (molecules/cm2) rms-based uncertainty of nitrogen dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rnvssp1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rnvssp1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rnvssp1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rnvssp1_8.resolution_change (%) Retrieved resolution change, -999=no resolution change fitting Other.pandora.L2_rnvssp1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rnvssp1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rnvssp1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rnvssp1_8.stratospheric_nitrogen_dioxide (molecules/cm2) Climatological nitrogen dioxide stratospheric column amount Other.pandora.L2_rnvssp1_8.stratospheric_nitrogen_dioxide_uncertainty (molecules/cm2) Uncertainty of climatological nitrogen dioxide stratospheric column amount Other.pandora.L2_rnvssp1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rnvssp1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvssp1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rnvssp1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvssp1_8.sum_of_nitrogen_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rnvssp1_8.sum_of_nitrogen_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for nitrogen dioxide exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rnvssp1_8.temperature (C) Nitrogen dioxide effective temperature Other.pandora.L2_rnvssp1_8.temperature_common_uncertainty (C) Common uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.temperature_independent_uncertainty (C) Independent uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.temperature_structured_uncertainty (C) Structured uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.temperature_uncertainty (C) Total uncertainty of nitrogen dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty or common uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rnvssp1_8.total_wavelength_shift (nm) Retrieved total wavelength shift, -9=no wavelength change fitting Other.pandora.L2_rnvssp1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rnvssp1_8.wavelength_temperature (C) Wavelength effective temperature Other.pandora.L2_rout2p1_8.aerosol_optical_depth_center (-) stimated aerosol optical depth at center wavelength of fitting window Other.pandora.L2_rout2p1_8.aerosol_optical_depth_end (-) Estimated aerosol optical depth at ending wavelength of fitting window Other.pandora.L2_rout2p1_8.aerosol_optical_depth_start (-) Estimated aerosol optical depth at starting wavelength of fitting window Other.pandora.L2_rout2p1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rout2p1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rout2p1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rout2p1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rout2p1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rout2p1_8.diffuse_correction (-) Diffuse correction applied before fitting at effective fitting wavelength for ozone, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2_rout2p1_8.direct_ozone_air_mass_factor (-) Direct ozone air mass factor Other.pandora.L2_rout2p1_8.expected_normalized_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rout2p1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rout2p1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rout2p1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rout2p1_8.integration_time (ms) Integration time Other.pandora.L2_rout2p1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rout2p1_8.l2_fit_quality_flag (-) L2Fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rout2p1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rout2p1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rout2p1_8.mean_ozone_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rout2p1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rout2p1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rout2p1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rout2p1_8.ozone_air_mass_factor_uncertainty (-) Uncertainty of direct ozone air mass factor, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rout2p1_8.ozone_l2_quality_flag (-) L2 data quality flag for ozone, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rout2p1_8.ozone_vertical_column_amount (molecules/cm2) Ozone total vertical column amount , -9e99=retrieval not successful Other.pandora.L2_rout2p1_8.ozone_vertical_column_common_uncertainty (molecules/cm2) Total uncertainty of ozone total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rout2p1_8.ozone_vertical_column_independent_uncertainty (molecules/cm2) Independent uncertainty of ozone total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rout2p1_8.ozone_vertical_column_rms_uncertainty (molecules/cm2) rms-based uncertainty of ozone total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -9=spectral fitting was not successful Other.pandora.L2_rout2p1_8.ozone_vertical_column_structured_uncertainty (molecules/cm2) Structured uncertainty of ozone total vertical column amount , -1=cross section is zero in this wavelength range, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rout2p1_8.ozone_vertical_column_uncertainty (molecules/cm2) Total uncertainty of ozone total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rout2p1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rout2p1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rout2p1_8.resolution_change (%) Retrieved resolution change, -999=no resolution change fitting Other.pandora.L2_rout2p1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rout2p1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rout2p1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rout2p1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rout2p1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rout2p1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rout2p1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rout2p1_8.sum_of_ozone_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for ozone exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rout2p1_8.sum_of_ozone_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for ozone exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rout2p1_8.temperature (C) Ozone effective temperature Other.pandora.L2_rout2p1_8.temperature_common_uncertainty (C) Common uncertainty of ozone effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rout2p1_8.temperature_independent_uncertainty (C) Independent uncertainty of ozone effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rout2p1_8.temperature_structured_uncertainty (C) Structured uncertainty of ozone effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -9=spectral fitting was not successful Other.pandora.L2_rout2p1_8.temperature_uncertainty (C) Total uncertainty of ozone effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty or common uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rout2p1_8.total_wavelength_shift (nm) Retrieved total wavelength shift, -9=no wavelength change fitting Other.pandora.L2_rout2p1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rout2p1_8.wavelength_temperature (C) Wavelength effective temperature Other.pandora.L2_rsus1p1_8.aerosol_optical_depth_center (-) Estimated aerosol optical depth at center wavelength of fitting window Other.pandora.L2_rsus1p1_8.aerosol_optical_depth_end (-) Estimated aerosol optical depth at ending wavelength of fitting window Other.pandora.L2_rsus1p1_8.aerosol_optical_depth_start (-) Estimated aerosol optical depth at starting wavelength of fitting window Other.pandora.L2_rsus1p1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rsus1p1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rsus1p1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rsus1p1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rsus1p1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rsus1p1_8.diffuse_correction (-) Diffuse correction applied before fitting at effective fitting wavelength for sulfur dioxide, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2_rsus1p1_8.direct_sulfur_dioxide_air_mass_factor (-) Direct sulfur dioxide air mass factor Other.pandora.L2_rsus1p1_8.expected_normalized_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rsus1p1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rsus1p1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rsus1p1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rsus1p1_8.integration_time (ms) Integration time Other.pandora.L2_rsus1p1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rsus1p1_8.l2_fit_quality_flag (-) L2Fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rsus1p1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rsus1p1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rsus1p1_8.mean_sulfur_dioxide_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rsus1p1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rsus1p1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rsus1p1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rsus1p1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rsus1p1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rsus1p1_8.resolution_change (%) Retrieved resolution change, -999=no resolution change fitting Other.pandora.L2_rsus1p1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rsus1p1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rsus1p1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rsus1p1_8.sulfur_dioxide_air_mass_factor_uncertainty (-) Uncertainty of direct sulfur dioxide air mass factor, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rsus1p1_8.sulfur_dioxide_l2_quality_flag (-) L2 data quality flag for sulfur dioxide, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rsus1p1_8.sulfur_dioxide_vertical_column_amount (molecules/cm2) Sulfur dioxide total vertical column amount , -9e99=retrieval not successful Other.pandora.L2_rsus1p1_8.sulfur_dioxide_vertical_column_common_uncertainty (molecules/cm2) Common uncertainty of sulfur dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.sulfur_dioxide_vertical_column_independent_uncertainty (molecules/cm2) Independent uncertainty of sulfur dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.sulfur_dioxide_vertical_column_rms_uncertainty (molecules/cm2) rms-based uncertainty of sulfur dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.sulfur_dioxide_vertical_column_structured_uncertainty (molecules/cm2) Structured uncertainty of sulfur dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.sulfur_dioxide_vertical_column_uncertainty (molecules/cm2) Total uncertainty of sulfur dioxide total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rsus1p1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rsus1p1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rsus1p1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rsus1p1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rsus1p1_8.sum_of_sulfur_dioxide_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for sulfur dioxide exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rsus1p1_8.sum_of_sulfur_dioxide_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for sulfur dioxide exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rsus1p1_8.temperature (C) Sulfur dioxide effective temperature Other.pandora.L2_rsus1p1_8.temperature_common_uncertainty (C) Common uncertainty of sulfur dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.temperature_independent_uncertainty (C) Independent uncertainty of sulfur dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.temperature_structured_uncertainty (C) Structured uncertainty of sulfur dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.temperature_uncertainty (C) Total uncertainty of sulfur dioxide effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty or common uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rsus1p1_8.total_wavelength_shift (nm) Retrieved total wavelength shift, -9=no wavelength change fitting Other.pandora.L2_rsus1p1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rsus1p1_8.wavelength_temperature (C) Wavelength effective temperature, 999=no effective temperature given Other.pandora.L2_rwvt1p1_8.aerosol_optical_depth_center (-) Estimated aerosol optical depth at center wavelength of fitting window Other.pandora.L2_rwvt1p1_8.aerosol_optical_depth_end (-) Estimated aerosol optical depth at ending wavelength of fitting window Other.pandora.L2_rwvt1p1_8.aerosol_optical_depth_start (-) Estimated aerosol optical depth at starting wavelength of fitting window Other.pandora.L2_rwvt1p1_8.atmospheric_variability (%) Atmospheric variability, 999=no atmospheric variability was determined Other.pandora.L2_rwvt1p1_8.calibration_file_date (yyyymmdd) Calibration file validity starting date Other.pandora.L2_rwvt1p1_8.calibration_file_version (-) Calibration file version Other.pandora.L2_rwvt1p1_8.data_processing_type_index (-) Data processing type index Other.pandora.L2_rwvt1p1_8.days_since_2000 (days) Fractional days since 1-Jan-2000 UT midnight for center of measurement Other.pandora.L2_rwvt1p1_8.diffuse_correction_for_water_vapor (%) Diffuse correction applied before fitting at effective fitting wavelength for water vapor, 0=no diffuse correction applied or fitting not successful, >0=measured diffuse correction, <0=(negative value of) calculated diffuse correction Other.pandora.L2_rwvt1p1_8.direct_water_vapor_air_mass_factor (-) Direct water vapor air mass factor Other.pandora.L2_rwvt1p1_8.direct_water_vapor_air_mass_factor_uncertainty (-) Uncertainty of direct water vapor air mass factor, -7=uncertainty could not be retrieved since slant column uncertainties were missing Other.pandora.L2_rwvt1p1_8.expected_normalized_rms_weighted_fitting_residuals (-) Expected normalized rms of weighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rwvt1p1_8.expected_rms_unweighted_fitting_residuals (-) Expected rms of unweighted fitting residuals based on independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rwvt1p1_8.filterwheel1_position (-) Effective position of filterwheel #1, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rwvt1p1_8.filterwheel2_position (-) Effective position of filterwheel #2, 0=filterwheel not used, 1-9 are valid positions Other.pandora.L2_rwvt1p1_8.water_vapor_l2_quality_flag (-) L2 data quality flag for water vapor, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality, 20=unusable high quality, 21=unusable medium quality, 22=unusable low quality Other.pandora.L2_rwvt1p1_8.water_vapor_total_vertical_column_amount (molecules/cm2) Water vapor total vertical column amount, -9e99=retrieval not successful Other.pandora.L2_rwvt1p1_8.water_vapor_vertical_column_amount_common_uncertainty (molecules/cm2) Common uncertainty of water vapor total vertical column amount , -1=cross section is zero in this wavelength range, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.water_vapor_vertical_column_amount_independent_uncertainty (molecules/cm2) Independent uncertainty of water vapor total vertical column amount, -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.water_vapor_vertical_column_amount_rms_uncertainty (molecules/cm2) rms-based uncertainty of water vapor total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.water_vapor_vertical_column_amount_structured_uncertainty (molecules/cm2) Structured uncertainty of water vapor total vertical column amount, -1=cross section is zero in this wavelength range, -7=not given since method "MEAS" was chosen, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.water_vapor_vertical_column_amount_uncertainty (molecules/cm2) Total uncertainty of water vapor total vertical column amount , -1=cross section is zero in this wavelength range, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -5=no independent uncertainty input was given, -6=no common uncertainty input was given, -7=not given since method "MEAS" was chosen, -8=not given, since not all components are given Other.pandora.L2_rwvt1p1_8.integration_time (ms) Integration time Other.pandora.L2_rwvt1p1_8.l1_data_quality_flag (-) Level 1 data quality flag: 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rwvt1p1_8.l2_fit_quality_flag (-) L2Fit data quality flag, 0=assured high quality, 1=assured medium quality, 2=assured low quality, 10=not-assured high quality, 11=not-assured medium quality, 12=not-assured low quality Other.pandora.L2_rwvt1p1_8.lunar_azimuth_angle (deg) Lunar azimuth trig angle for center of measurement in degree Other.pandora.L2_rwvt1p1_8.lunar_zenith_angle (deg) Lunar zenith angle for center of measurement in degree Other.pandora.L2_rwvt1p1_8.mean_water_vapor_total_vertical_column_amount (molecules/cm2) Mean value of measured data inside fitting window Other.pandora.L2_rwvt1p1_8.measurement_duration (s) Effective duration of measurement in seconds Other.pandora.L2_rwvt1p1_8.normalized_rms_fitting_residuals (-) Normalized rms of fitting residuals weighted with independent uncertainty, -9=fitting not successful or no uncertainty given Other.pandora.L2_rwvt1p1_8.number_of_bright_count_cycles (-) Number of bright count cycles Other.pandora.L2_rwvt1p1_8.pressure (hPa) Climatological station pressure Other.pandora.L2_rwvt1p1_8.residual_stray_light_level (%) Estimated average residual stray light level (only valid for stray light correction methods 2 and higher) Other.pandora.L2_rwvt1p1_8.resolution_change (%) Retrieved resolution change, -999=no resolution change fitting Other.pandora.L2_rwvt1p1_8.rms_fitting_residuals (-) rms of unweighted fitting residuals, -9=fitting not successful Other.pandora.L2_rwvt1p1_8.solar_azimuth_angle (deg) Solar azimuth trig angle for center of measurement in degree Other.pandora.L2_rwvt1p1_8.solar_zenith_angle (deg) Solar zenith angle for center of measurement in degree Other.pandora.L2_rwvt1p1_8.sum_of_water_vapor_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for water vapor exceeds the DQ1 limit, 0=L2Fit data quality above 0, 1=Retrieval error, 2=Air mass factor too large, 3=Atmospheric variability too large Other.pandora.L2_rwvt1p1_8.sum_of_water_vapor_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2 data quality parameter for water vapor exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rwvt1p1_8.sum_of_l1_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ1 limit, 0=Saturated data, 1=Too few dark counts measurements, 2=No temperature given or effective temperature too different from the reference temperature, 3=Dark count too high, 4=Unsuccessful dark background fitting, 5=The dark count differs significantly from the dark map for too many pixels, 6=Absolute value of estimated average residual stray light level too high, 7=Although attempted, no wavelength change could be retrieved, 8=Absolute value of retrieved wavelength shift too large, 9=Retrieved wavelength shift differs too much from the shift predicted by the effective temperature Other.pandora.L2_rwvt1p1_8.sum_of_l1_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L1 data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rwvt1p1_8.sum_of_l2_fit_quality_exceeding_dq1 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ1 limit, 0=L1 data quality above 0, 1=Spectral fitting was not successful, 2=Wavelength shift too large, 3=Normalized rms of fitting residuals weighted with independent uncertainty too large Other.pandora.L2_rwvt1p1_8.sum_of_l2_fit_quality_exceeding_dq2 (-) Sum over 2^i using those i, for which the corresponding L2Fit data quality parameter exceeds the DQ2 limit (same parameters as for DQ1) Other.pandora.L2_rwvt1p1_8.temperature (C) Water vapor effective temperature Other.pandora.L2_rwvt1p1_8.temperature_common_uncertainty (C) Common uncertainty of water vapor effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.temperature_independent_uncertainty (C) Independent uncertainty of water vapor effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.temperature_structured_uncertainty (C) Structured uncertainty of water vapor effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.temperature_uncertainty (C) Total uncertainty of water vapor effective temperature , -1=temperature fitting was requested, but cross section is zero in this wavelength range, -2=no temperature fitting was requested and output for effective temperature and common uncertainty of it is based on f-code, -3=spectral fitting was done, but no independent uncertainty could be retrieved, -4=temperature fitting was requested, but differential optical depth is too small to retrieve temperature, -5=spectral fitting was done without using the independent uncertainty input, -6=no independent uncertainty or common uncertainty input was given, -9=spectral fitting was not successful Other.pandora.L2_rwvt1p1_8.total_wavelength_shift (nm) Retrieved total wavelength shift, -9=no wavelength change fitting Other.pandora.L2_rwvt1p1_8.wavelength_shift_from_l1 (nm) Retrieved wavelength shift from level 1 data, -9=no wavelength change determination Other.pandora.L2_rwvt1p1_8.wavelength_temperature (C) Wavelength effective temperature Other.pandora.id (-) Ground-based Pandora Spectrometer instrument globally unique integer id. Other.uvnet.irradiance (W/m2) UTC hourly total surface irradiance in Watts per square meter. Other.uvnet.uvbio (W/m2) UTC hourly total surface ultra-violet sunburn in Watts per square meter. #Compare.abs_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,equates,conus,ext,extinction (/km) Absolute difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.abs_diff.acam,no2-cmaq,discover,conus,conc,no2 (ppm) Absolute difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.abs_diff.acam,no2-cmaq,discover,east,conc,no2 (ppm) Absolute difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.abs_diff.acam,no2-cmaq,discover,md,conc,no2 (ppm) Absolute difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.abs_diff.acam,no2-cmaq,equates,conus,conc,no2 (ppm) Absolute difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.abs_diff.aqs,ozone-cmaq,discover,conus,aconc,o3 (ppm) Absolute difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.abs_diff.aqs,ozone-cmaq,discover,east,aconc,o3 (ppm) Absolute difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.abs_diff.aqs,ozone-cmaq,discover,md,aconc,o3 (ppm) Absolute difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.abs_diff.aqs,ozone-cmaq,equates,conus,aconc,o3 (ppm) Absolute difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.abs_diff.aqs,pm25-cmaq,discover,conus,pm25,pm25 (ug/m3) Absolute difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.abs_diff.aqs,pm25-cmaq,discover,east,pm25,pm25 (ug/m3) Absolute difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.abs_diff.aqs,pm25-cmaq,discover,md,pm25,pm25 (ug/m3) Absolute difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.abs_diff.aqs,pm25-cmaq,equates,conus,aconc,pm25 (ug/m3) Absolute difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. #Compare.abs_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,conus,aod,aod (-) Absolute difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.abs_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,east,aod,aod (-) Absolute difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.abs_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,md,aod,aod (-) Absolute difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.abs_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,equates,conus,integrated,aod550 (-) Absolute difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.abs_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,conus,ext,extinction (/km) Absolute difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.abs_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,east,ext,extinction (/km) Absolute difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.abs_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,md,ext,extinction (/km) Absolute difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. #Compare.abs_diff.gasp,aod-cmaq,discover,conus,aod,aod (-) Absolute difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.abs_diff.gasp,aod-cmaq,discover,east,aod,aod (-) Absolute difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.abs_diff.gasp,aod-cmaq,discover,md,aod,aod (-) Absolute difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.abs_diff.gasp,aod-cmaq,equates,conus,integrated,aod550 (-) Absolute difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.abs_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,conus,aod,aod (-) Absolute difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.abs_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,east,aod,aod (-) Absolute difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.abs_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,md,aod,aod (-) Absolute difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.abs_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,equates,conus,integrated,aod550 (-) Absolute difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.abs_diff.mozaic,ozone-cmaq,discover,conus,conc,o3 (ppm) Absolute difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.abs_diff.mozaic,ozone-cmaq,discover,east,conc,o3 (ppm) Absolute difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.abs_diff.mozaic,ozone-cmaq,discover,md,conc,o3 (ppm) Absolute difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.abs_diff.mozaic,ozone-cmaq,equates,conus,conc,o3 (ppm) Absolute difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. #Compare.diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,equates,conus,ext,extinction (/km) Difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.diff.acam,no2-cmaq,discover,conus,conc,no2 (ppm) Difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.diff.acam,no2-cmaq,discover,east,conc,no2 (ppm) Difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.diff.acam,no2-cmaq,discover,md,conc,no2 (ppm) Difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.diff.acam,no2-cmaq,equates,conus,conc,no2 (ppm) Difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.diff.aqs,ozone-cmaq,discover,conus,aconc,o3 (ppm) Difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.diff.aqs,ozone-cmaq,discover,east,aconc,o3 (ppm) Difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.diff.aqs,ozone-cmaq,discover,md,aconc,o3 (ppm) Difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.diff.aqs,ozone-cmaq,equates,conus,aconc,o3 (ppm) Difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.diff.aqs,pm25-cmaq,discover,conus,pm25,pm25 (ug/m3) Difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.diff.aqs,pm25-cmaq,discover,east,pm25,pm25 (ug/m3) Difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.diff.aqs,pm25-cmaq,discover,md,pm25,pm25 (ug/m3) Difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.diff.aqs,pm25-cmaq,equates,conus,aconc,pm25 (ug/m3) Difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. #Compare.diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,conus,aod,aod (-) Difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,east,aod,aod (-) Difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,md,aod,aod (-) Difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,equates,conus,integrated,aod550 (-) Difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,conus,ext,extinction (/km) Difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,east,ext,extinction (/km) Difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,md,ext,extinction (/km) Difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. #Compare.diff.gasp,aod-cmaq,discover,conus,aod,aod (-) Difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.diff.gasp,aod-cmaq,discover,east,aod,aod (-) Difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.diff.gasp,aod-cmaq,discover,md,aod,aod (-) Difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.diff.gasp,aod-cmaq,equates,conus,integrated,aod550 (-) Difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,conus,aod,aod (-) Difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,east,aod,aod (-) Difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,md,aod,aod (-) Difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.diff.modis,mod4,optical_depth_land_and_ocean-cmaq,equates,conus,integrated,aod550 (-) Difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.diff.mozaic,ozone-cmaq,discover,conus,conc,o3 (ppm) Difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.diff.mozaic,ozone-cmaq,discover,east,conc,o3 (ppm) Difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.diff.mozaic,ozone-cmaq,discover,md,conc,o3 (ppm) Difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.diff.mozaic,ozone-cmaq,equates,conus,conc,o3 (ppm) Difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. #Compare.percent_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,equates,conus,ext,extinction (/km) Percent difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.percent_diff.acam,no2-cmaq,discover,conus,conc,no2 (ppm) Percent difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.percent_diff.acam,no2-cmaq,discover,east,conc,no2 (ppm) Percent difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.percent_diff.acam,no2-cmaq,discover,md,conc,no2 (ppm) Percent difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.percent_diff.acam,no2-cmaq,equates,conus,conc,no2 (ppm) Percent difference between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.percent_diff.aqs,ozone-cmaq,discover,conus,aconc,o3 (ppm) Percent difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.percent_diff.aqs,ozone-cmaq,discover,east,aconc,o3 (ppm) Percent difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.percent_diff.aqs,ozone-cmaq,discover,md,aconc,o3 (ppm) Percent difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.percent_diff.aqs,ozone-cmaq,equates,conus,aconc,o3 (ppm) Percent difference between AQS ground station measured ozone and CMAQ modeled variable. Compare.percent_diff.aqs,pm25-cmaq,discover,conus,pm25,pm25 (ug/m3) Percent difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.percent_diff.aqs,pm25-cmaq,discover,east,pm25,pm25 (ug/m3) Percent difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.percent_diff.aqs,pm25-cmaq,discover,md,pm25,pm25 (ug/m3) Percent difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.percent_diff.aqs,pm25-cmaq,equates,conus,aconc,pm25 (ug/m3) Percent difference between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. #Compare.percent_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,conus,aod,aod (-) Percent difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.percent_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,east,aod,aod (-) Percent difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.percent_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,md,aod,aod (-) Percent difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.percent_diff.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,equates,conus,integrated,aod550 (-) Percent difference between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.percent_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,conus,ext,extinction (/km) Percent difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.percent_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,east,ext,extinction (/km) Percent difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.percent_diff.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,md,ext,extinction (/km) Percent difference between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. #Compare.percent_diff.gasp,aod-cmaq,discover,conus,aod,aod (-) Percent difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.percent_diff.gasp,aod-cmaq,discover,east,aod,aod (-) Percent difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.percent_diff.gasp,aod-cmaq,discover,md,aod,aod (-) Percent difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.percent_diff.gasp,aod-cmaq,equates,conus,integrated,aod550 (-) Percent difference between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.percent_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,conus,aod,aod (-) Percent difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.percent_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,east,aod,aod (-) Percent difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.percent_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,md,aod,aod (-) Percent difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.percent_diff.modis,mod4,optical_depth_land_and_ocean-cmaq,equates,conus,integrated,aod550 (-) Percent difference between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.percent_diff.mozaic,ozone-cmaq,discover,conus,conc,o3 (ppm) Percent difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.percent_diff.mozaic,ozone-cmaq,discover,east,conc,o3 (ppm) Percent difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.percent_diff.mozaic,ozone-cmaq,discover,md,conc,o3 (ppm) Percent difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.percent_diff.mozaic,ozone-cmaq,equates,conus,conc,o3 (ppm) Percent difference between MOZAIC aircraft-measured ozone and CMAQ modeled variable. #Compare.ratio.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,equates,conus,ext,extinction (/km) Ratio between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.ratio.acam,no2-cmaq,discover,conus,conc,no2 (ppm) Ratio between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.ratio.acam,no2-cmaq,discover,east,conc,no2 (ppm) Ratio between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.ratio.acam,no2-cmaq,discover,md,conc,no2 (ppm) Ratio between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.ratio.acam,no2-cmaq,equates,conus,conc,no2 (ppm) Ratio between ACAM aircraft-measured NO2 and CMAQ modeled variable. Compare.ratio.aqs,ozone-cmaq,discover,conus,aconc,o3 (ppm) Ratio between AQS ground station measured ozone and CMAQ modeled variable. Compare.ratio.aqs,ozone-cmaq,discover,east,aconc,o3 (ppm) Ratio between AQS ground station measured ozone and CMAQ modeled variable. Compare.ratio.aqs,ozone-cmaq,discover,md,aconc,o3 (ppm) Ratio between AQS ground station measured ozone and CMAQ modeled variable. Compare.ratio.aqs,ozone-cmaq,equates,conus,aconc,o3 (ppm) Ratio between AQS ground station measured ozone and CMAQ modeled variable. Compare.ratio.aqs,pm25-cmaq,discover,conus,pm25,pm25 (ug/m3) Ratio between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.ratio.aqs,pm25-cmaq,discover,east,pm25,pm25 (ug/m3) Ratio between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.ratio.aqs,pm25-cmaq,discover,md,pm25,pm25 (ug/m3) Ratio between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. Compare.ratio.aqs,pm25-cmaq,equates,conus,aconc,pm25 (ug/m3) Ratio between AQS ground station measured particulate matter not more than 2.5 microns in diameter and CMAQ modeled variable. #Compare.ratio.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,conus,aod,aod (-) Ratio between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.ratio.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,east,aod,aod (-) Ratio between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. #Compare.ratio.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,md,aod,aod (-) Ratio between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.ratio.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,equates,conus,integrated,aod550 (-) Ratio between CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength and CMAQ modeled variable. Compare.ratio.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,conus,ext,extinction (/km) Ratio between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.ratio.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,east,ext,extinction (/km) Ratio between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. Compare.ratio.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,md,ext,extinction (/km) Ratio between CALIPSO satellite-measured extinction coefficient at 532 nm wavelength and CMAQ modeled variable. #Compare.ratio.gasp,aod-cmaq,discover,conus,aod,aod (-) Ratio between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.ratio.gasp,aod-cmaq,discover,east,aod,aod (-) Ratio between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.ratio.gasp,aod-cmaq,discover,md,aod,aod (-) Ratio between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.ratio.gasp,aod-cmaq,equates,conus,integrated,aod550 (-) Ratio between GASP satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.ratio.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,conus,aod,aod (-) Ratio between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.ratio.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,east,aod,aod (-) Ratio between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. #Compare.ratio.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,md,aod,aod (-) Ratio between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.ratio.modis,mod4,optical_depth_land_and_ocean-cmaq,equates,conus,integrated,aod550 (-) Ratio between MODIS satellite-measured aerosol optical depth and CMAQ modeled variable. Compare.ratio.mozaic,ozone-cmaq,discover,conus,conc,o3 (ppm) Ratio between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.ratio.mozaic,ozone-cmaq,discover,east,conc,o3 (ppm) Ratio between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.ratio.mozaic,ozone-cmaq,discover,md,conc,o3 (ppm) Ratio between MOZAIC aircraft-measured ozone and CMAQ modeled variable. Compare.ratio.mozaic,ozone-cmaq,equates,conus,conc,o3 (ppm) Ratio between MOZAIC aircraft-measured ozone and CMAQ modeled variable. #Compare.replace.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,equates,conus,ext,extinction (/km) Replace CALIPSO satellite-measured extinction coefficient at 532 nm wavelength with CMAQ modeled variable. Compare.replace.acam,no2-cmaq,discover,conus,conc,no2 (ppm) Replace ACAM aircraft-measured NO2 with CMAQ modeled variable. Compare.replace.acam,no2-cmaq,discover,east,conc,no2 (ppm) Replace ACAM aircraft-measured NO2 with CMAQ modeled variable. Compare.replace.acam,no2-cmaq,discover,md,conc,no2 (ppm) Replace ACAM aircraft-measured NO2 with CMAQ modeled variable. Compare.replace.acam,no2-cmaq,equates,conus,conc,no2 (ppm) Replace ACAM aircraft-measured NO2 with CMAQ modeled variable. Compare.replace.aqs,ozone-cmaq,discover,conus,aconc,o3 (ppm) Replace AQS ground station measured ozone with CMAQ modeled variable. Compare.replace.aqs,ozone-cmaq,discover,east,aconc,o3 (ppm) Replace AQS ground station measured ozone with CMAQ modeled variable. Compare.replace.aqs,ozone-cmaq,discover,md,aconc,o3 (ppm) Replace AQS ground station measured ozone with CMAQ modeled variable. Compare.replace.aqs,ozone-cmaq,equates,conus,aconc,o3 (ppm) Replace AQS ground station measured ozone with CMAQ modeled variable. Compare.replace.aqs,pm25-cmaq,discover,conus,pm25,pm25 (ug/m3) Replace AQS ground station measured particulate matter not more than 2.5 microns in diameter with CMAQ modeled variable. Compare.replace.aqs,pm25-cmaq,discover,east,pm25,pm25 (ug/m3) Replace AQS ground station measured particulate matter not more than 2.5 microns in diameter with CMAQ modeled variable. Compare.replace.aqs,pm25-cmaq,discover,md,pm25,pm25 (ug/m3) Replace AQS ground station measured particulate matter not more than 2.5 microns in diameter with CMAQ modeled variable. Compare.replace.aqs,pm25-cmaq,equates,conus,aconc,pm25 (ug/m3) Replace AQS ground station measured particulate matter not more than 2.5 microns in diameter with CMAQ modeled variable. #Compare.replace.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,conus,aod,aod (-) Replace CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength with CMAQ modeled variable. #Compare.replace.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,east,aod,aod (-) Replace CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength with CMAQ modeled variable. #Compare.replace.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,discover,md,aod,aod (-) Replace CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength with CMAQ modeled variable. Compare.replace.calipso,l2_05kmapro,column_optical_depth_tropospheric_aerosols_532-cmaq,equates,conus,integrated,aod550 (-) Replace CALIPSO satellite-measured column optical depth from aerosols at 532 nm wavelength with CMAQ modeled variable. Compare.replace.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,conus,ext,extinction (/km) Replace CALIPSO satellite-measured extinction coefficient at 532 nm wavelength with CMAQ modeled variable. Compare.replace.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,east,ext,extinction (/km) Replace CALIPSO satellite-measured extinction coefficient at 532 nm wavelength with CMAQ modeled variable. Compare.replace.calipso,l2_05kmapro,extinction_coefficient_532-cmaq,discover,md,ext,extinction (/km) Replace CALIPSO satellite-measured extinction coefficient at 532 nm wavelength with CMAQ modeled variable. #Compare.replace.gasp,aod-cmaq,discover,conus,aod,aod (-) Replace GASP satellite-measured aerosol optical depth with CMAQ modeled variable. #Compare.replace.gasp,aod-cmaq,discover,east,aod,aod (-) Replace GASP satellite-measured aerosol optical depth with CMAQ modeled variable. #Compare.replace.gasp,aod-cmaq,discover,md,aod,aod (-) Replace GASP satellite-measured aerosol optical depth with CMAQ modeled variable. Compare.replace.gasp,aod-cmaq,equates,conus,integrated,aod550 (-) Replace GASP satellite-measured aerosol optical depth with CMAQ modeled variable. #Compare.replace.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,conus,aod,aod (-) Replace MODIS satellite-measured aerosol optical depth with CMAQ modeled variable. #Compare.replace.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,east,aod,aod (-) Replace MODIS satellite-measured aerosol optical depth with CMAQ modeled variable. #Compare.replace.modis,mod4,optical_depth_land_and_ocean-cmaq,discover,md,aod,aod (-) Replace MODIS satellite-measured aerosol optical depth with CMAQ modeled variable. Compare.replace.modis,mod4,optical_depth_land_and_ocean-cmaq,equates,conus,integrated,aod550 (-) Replace MODIS satellite-measured aerosol optical depth with CMAQ modeled variable. Compare.replace.mozaic,ozone-cmaq,discover,conus,conc,o3 (ppm) Replace MOZAIC aircraft-measured ozone with CMAQ modeled variable. Compare.replace.mozaic,ozone-cmaq,discover,east,conc,o3 (ppm) Replace MOZAIC aircraft-measured ozone with CMAQ modeled variable. Compare.replace.mozaic,ozone-cmaq,discover,md,conc,o3 (ppm) Replace MOZAIC aircraft-measured ozone with CMAQ modeled variable. Compare.replace.mozaic,ozone-cmaq,equates,conus,conc,o3 (ppm) Replace MOZAIC aircraft-measured ozone with CMAQ modeled variable.