AERDT_L2_VIIRS_SNPP - VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km
The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Standard Level-2 (L2) Dark Target (DT) Aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and aerosol properties over land and ocean. It delivers spectral AOT measurements and their size parameters over oceans every 6 minutes globally.
This aerosol product uses the same dark target algorithm originally developed for the Terra and Aqua missions' Moderate Imaging Spectroradiometer (MODIS) instruments. It includes two separate and distinct algorithms:
- One retrieves aerosol information over ocean (which appears dark in visible and longer wavelengths).
- The second retrieves aerosol data over vegetated and dark-soiled land (which appears dark in visible wavelengths).
This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP) has an at-nadir resolution of 6 km x 6 km and progressively increases away from nadir due to the sensor's scanning geometry and Earth's curvature. The product uses 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have approximately 750 m horizontal pixel size at nadir. Therefore, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute period.
As of December 2025, Version 2.1 is the latest collection of the SNPP VIIRS L2 Dark Target Aerosol product and contains improvements over its previous collection (v2.0).
Level-2 Dark Target Aerosol: SNPP VIIRS v2.1 Improvements over v2.0
- Data Quality Fixes: Corrected write error in Mean_Reflectance_Land and STD_Reflectance_Land.
- Enhanced Dust Detection: New Dust_Flag_Ocean SDS and additional retrieval model for dust detection.
- Improved Cloud Filtering: Multiple updates to cloud mask over ocean to prevent cloud-contaminated retrievals.
- Cross Platform Calibration: Cross-calibration coefficients for SNPP, NOAA-20, and NOAA-21.
- Surface Reflectance Updates: Revised surface reflectance parameterization and urban correction.
- Updated Meteorological Data: Transitioned Global Modeling and Assimilation Office (GMAO) ancillary data from Global Earth Observing System Forward Processing for Instrument Teams (GEOS-FPIT) to its successor, Global Earth Observing System Instrument Teams (GEOS-IT).
- Quality Assurance Fix: Fixed a bug that incorrectly included land Aerosol Optical Depth (AOD) values, and replaced these values with Quality Assurance values of 1 and 2 in the Optical_Depth_Land_And_Ocean dataset.
The Level-2 netCDF product's geophysical data contains 38 Science Data Set (SDS) layers:
- 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
- Dust_Flag_Ocean
- 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
The geolocation data group includes Glint Angle, Geodetic Latitude and Longitude, Scattering Angle, Sensor Azimuth and Zenith Angles, and Solar Azimuth and Zenith Angles.
The Dark Target Aerosol Product User Guide provides additional information regarding these SDS parameters.
Links
- Search for Product Files
- Data Archive
- NASA Dark Target Aerosol Website
- Dark Target Aerosol Product User Guide
- Dark Target Algorithm Theoretical Basis Document
- DOI: 10.5067/VIIRS/AERDT_L2_VIIRS_SNPP.021
- Please cite the use of this product in publications using the following references: Sawyer, V., R.C. Levy, S. Mattoo, Y.R. Shi, M. Kim, L.A. Remer, and G. Cureton (2025), An updated VIIRS dark target aerosol product for continuity with MODIS: assessing regional aerosol trends. Front. Environ. Sci. 13, https://doi.org/10.3389/fenvs.2025.1602145 Sawyer, V., R.C. Levy, S. Mattoo, G. Cureton, Y. Shi, and L.A. Remer (2020), Continuing the MODIS Dark Target Aerosol Time Series with VIIRS. Remote Sens. 2020, 12, 308, https://doi.org/10.3390/rs12020308 Levy, R.C., L. A. Munchak, S. Mattoo, F. Patadia, L. A. Remer, and R. E. Holz (2015), Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance, Atmos. Meas. Tech., 8, 4083-4110.
| Shortname: | AERDT_L2_VIIRS_SNPP | ||||||||||||||
| Platform: | Suomi-NPP | ||||||||||||||
| Instrument: | VIIRS | ||||||||||||||
| Processing Level: | Level-2 | ||||||||||||||
| Data Format: | netCDF4 | ||||||||||||||
| File Size: | 7 - 12 MB | ||||||||||||||
| Spatial Resolution: | 6 km at nadir | ||||||||||||||
| Spatial Coverage: | Global (daytime only) | ||||||||||||||
| Production Frequency: | ~130 files/day | ||||||||||||||
| Temporal Resolution: | 6 minute | ||||||||||||||
| ArchiveSet(s): | 5201 | ||||||||||||||
| Collection: | NPP and JPSS1 VIIRS data 2.1 (ArchiveSet 5201) | ||||||||||||||
| PGE Number: | NONE | ||||||||||||||
| File Naming Convention: |
Example: AERDT_L2_VIIRS_SNPP.A2025181.1812.021.2025191191124.nc Syntax: ESDT.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.Format
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| Citation: | Please cite the use of this product in publications using the following references: Sawyer, V., R.C. Levy, S. Mattoo, Y.R. Shi, M. Kim, L.A. Remer, and G. Cureton (2025), An updated VIIRS dark target aerosol product for continuity with MODIS: assessing regional aerosol trends. Front. Environ. Sci. 13, https://doi.org/10.3389/fenvs.2025.1602145 Sawyer, V., R.C. Levy, S. Mattoo, G. Cureton, Y. Shi, and L.A. Remer (2020), Continuing the MODIS Dark Target Aerosol Time Series with VIIRS. Remote Sens. 2020, 12, 308, https://doi.org/10.3390/rs12020308 Levy, R.C., L. A. Munchak, S. Mattoo, F. Patadia, L. A. Remer, and R. E. Holz (2015), Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance, Atmos. Meas. Tech., 8, 4083-4110. |
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