XAERDT_L2_ABI_G17 - ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km
The Geostationary Earth Orbit (GEO)-Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from eight sensor/platform combinations, where four are in GEO and four are in LEO. The four GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8 and Himawari-9. The four LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites.
Within this Level-2 (L2) product suite, the DT algorithm is applied over land and ocean separately, which produces AOD and other aerosol parameters over land only, over ocean only, and a combined subset. Users may assess each retrieved land or ocean aerosol value in these L2 products based on their quality flag (Land_Ocean_Quality_Flag) and confidence levels based on their error flag (Error_Flag_Land_And_Ocean). This project has made a concerted effort to ensure that products within both the GEO and LEO groups are structurally consistent in their data and metadata elements as much as possible.
The Geostationary Operational Environmental Satellite - GOES-17 served in the operational GOES-West position (near -137°W), from 12 February 2019, through 4 January 2023. The GOES-17/ABI L2 Dark Target Aerosol product, in netCDF4 format, is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. These GEO observations are regional but provide daytime time dependence. The GOES-17/ABI collection record spans from January 2019 through December 2022.
The L2 netCDF product contains the following 45 Science Data Set (SDS) layers that include eight geolocation and 37 geophysical SDSs:
Geolocation_Data
- longitude
- latitude
- solar_zenith_angle
- solar_azimuth_angle
- sensor_zenith_angle
- sensor_azimuth_angle
- Scattering_Angle
- Glint_Angle
Geophysical_Data
- Aerosol_Cldmask_Land_Ocean
- Aerosol_Cloud_Fraction_Land
- Aerosol_Cloud_Fraction_Ocean
- Aerosol_Type_Land
- Angstrom_Exponent_1_Ocean
- Angstrom_Exponent_2_Ocean
- Asymmetry_Factor_Average_Ocean
- Average_Cloud_Pixel_Distance_Land_Ocean
- Backscattering_Ratio_Average_Ocean
- Cloud_Pixel_Distance_Land_Ocean
- Corrected_Optical_Depth_Land
- Effective_Optical_Depth_Average_Ocean
- Effective_Radius_Ocean
- Error_Flag_Land_And_Ocean
- Fitting_Error_Land
- Image_Optical_Depth_Land_And_Ocean
- Land_Ocean_Quality_Flag
- Land_Sea_Flag
- Least_Squares_Error_Ocean
- Mass_Concentration_Land
- Mass_Concentration_Ocean
- Mean_Reflectance_Land
- Mean_Reflectance_Ocean
- Number_Pixels_Used_Land
- Number_Pixels_Used_Ocean
- Optical_Depth_By_Models_Ocean
- Optical_Depth_Land_And_Ocean
- Optical_Depth_Large_Average_Ocean
- Optical_Depth_Ratio_Small_Land
- Optical_Depth_Ratio_Small_Ocean_0p55micron
- Optical_Depth_Small_Average_Ocean
- PSML003_Ocean
- STD_Reflectance_Land
- STD_Reflectance_Ocean
- Surface_Reflectance_Land
- Topographic_Altitude_Land
- Wind_Speed_GMAO_Ocean
Shortname: | XAERDT_L2_ABI_G17 |
Platform: | GOES-17 |
Instrument: | ABI |
Processing Level: | Level-2 |
Data Format: | netCDF4 |
Spatial Resolution: | 10 km |
Temporal Resolution: | MINS=10 |
Collection: | G16/G17/H08 Advanced Baseline/Himawari Imager (ABI, AHI) - Dark Target Aerosol data Collection 1 (ArchiveSet 5019) |
PGE Number: | NONE |
File Naming Convention: | Syntax: ESDT.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.Format
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Keywords: | Geostationary Earth Orbit, GOES-17/ABI, L2 Full-Disk, AOD, MEaSUREs GEO-LEO Dark Target Aerosol project |