Articles | Volume 11, issue 6
https://doi.org/10.5194/amt-11-3205-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3205-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2018
Research article |
| 04 Jun 2018
| 04 Jun 2018
Correcting for trace gas absorption when retrieving aerosol optical depth from satellite observations of reflected shortwave radiation
Falguni Patadia
CORRESPONDING AUTHOR
GESTAR/Morgan State University, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Robert C. Levy
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Shana Mattoo
NASA Goddard Space Flight Center, Greenbelt, MD, USA
SSAI, Lanham, MD, USA
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- Adapting the Dark Target Algorithm to Advanced MERSI Sensor on the FengYun-3-D Satellite: Retrieval and Validation of Aerosol Optical Depth Over Land S. Jin et al. 10.1109/TGRS.2020.3021021
- Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data A. Sayer et al. 10.5194/amt-12-3595-2019
- Potential of AOD Retrieval Using Atmospheric Emitted Radiance Interferometer (AERI) J. Seo et al. 10.3390/rs14020407
- Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al. 10.5194/amt-11-4073-2018
- Effect of interfacial layer on graphene structure in-situ grown on cemented carbide X. Yu et al. 10.1016/j.jallcom.2019.07.356
- Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas H. Lin et al. 10.3390/rs13204140
- Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China D. Li et al. 10.3390/rs12060978
- Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale W. Li et al. 10.3390/rs14112544
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
- Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager M. Kim et al. 10.5194/amt-17-1913-2024
- Far-red Fraction: An Improved Metric for Characterizing Phytochrome Effects on Morphology P. Kusuma & B. Bugbee 10.21273/JASHS05002-20
- Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
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- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
- Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval X. Yan et al. 10.1016/j.atmosenv.2020.117362
- Exploring Aerosols Near Clouds With High‐Spatial‐Resolution Aircraft Remote Sensing During SEAC4RS R. Spencer et al. 10.1029/2018JD028989
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges A. Ranjan et al. 10.1007/s13143-020-00215-0
- Aerosol-UA satellite mission for the polarimetric study of aerosols in the atmosphere I. Syniavskyi et al. 10.1016/j.jqsrt.2021.107601
- Overview and Applications of the New York State Mesonet Profiler Network B. Shrestha et al. 10.1175/JAMC-D-21-0104.1
- A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China J. Wei et al. 10.1109/TGRS.2019.2892813
- Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. 10.1134/S1990793123020264
26 citations as recorded by crossref.
- Retrieval of 500 m Aerosol Optical Depths from MODIS Measurements over Urban Surfaces under Heavy Aerosol Loading Conditions in Winter S. Jin et al. 10.3390/rs11192218
- Adapting the Dark Target Algorithm to Advanced MERSI Sensor on the FengYun-3-D Satellite: Retrieval and Validation of Aerosol Optical Depth Over Land S. Jin et al. 10.1109/TGRS.2020.3021021
- Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data A. Sayer et al. 10.5194/amt-12-3595-2019
- Potential of AOD Retrieval Using Atmospheric Emitted Radiance Interferometer (AERI) J. Seo et al. 10.3390/rs14020407
- Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al. 10.5194/amt-11-4073-2018
- Effect of interfacial layer on graphene structure in-situ grown on cemented carbide X. Yu et al. 10.1016/j.jallcom.2019.07.356
- Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas H. Lin et al. 10.3390/rs13204140
- Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China D. Li et al. 10.3390/rs12060978
- Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale W. Li et al. 10.3390/rs14112544
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
- Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager M. Kim et al. 10.5194/amt-17-1913-2024
- Far-red Fraction: An Improved Metric for Characterizing Phytochrome Effects on Morphology P. Kusuma & B. Bugbee 10.21273/JASHS05002-20
- Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
- A global evaluation of daily to seasonal aerosol and water vapor relationships using a combination of AERONET and NAAPS reanalysis data J. Rubin et al. 10.5194/acp-23-4059-2023
- Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product N. Docter et al. 10.5194/amt-16-3437-2023
- Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval X. Yan et al. 10.1016/j.atmosenv.2020.117362
- Exploring Aerosols Near Clouds With High‐Spatial‐Resolution Aircraft Remote Sensing During SEAC4RS R. Spencer et al. 10.1029/2018JD028989
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges A. Ranjan et al. 10.1007/s13143-020-00215-0
- Aerosol-UA satellite mission for the polarimetric study of aerosols in the atmosphere I. Syniavskyi et al. 10.1016/j.jqsrt.2021.107601
- Overview and Applications of the New York State Mesonet Profiler Network B. Shrestha et al. 10.1175/JAMC-D-21-0104.1
- A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China J. Wei et al. 10.1109/TGRS.2019.2892813
- Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. 10.1134/S1990793123020264
Latest update: 17 Apr 2024
Short summary
Satellite-measured radiance from an Earth scene comprises light scattered and absorbed by gases, clouds and aerosols in the atmosphere and by the Earth surface. To retrieve aerosol information, the signal from clouds, gases and the surface must be separated from the aerosol signal. This paper highlights the gas absorption correction method used by the MODIS dark-target aerosol retrieval algorithm and demonstrates that aerosol retrieval accuracy depends on accurate gas absorption correction.
Satellite-measured radiance from an Earth scene comprises light scattered and absorbed by gases,...
