Articles | Volume 17, issue 7
https://doi.org/10.5194/amt-17-1913-2024
© Author(s) 2024. 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-17-1913-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Apr 2024
Research article |
| 04 Apr 2024
| 04 Apr 2024
Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager
Mijin Kim
CORRESPONDING AUTHOR
Goddard Earth Sciences Technology and Research (GESTAR) II, Morgan State University, Baltimore, MD 21251, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Robert C. Levy
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Lorraine A. Remer
Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Shana Mattoo
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications (SSAI), Lanham, MD 20706, USA
Pawan Gupta
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Short summary
The study focused on evaluating and modifying the surface reflectance parameterization (SRP) of the Dark Target (DT) algorithm for geostationary observation. When using the DT SRP with the ABIs sensor on GOES-R, artificial diurnal signatures were present in AOD retrieval. To overcome this issue, a new SRP was developed, incorporating solar zenith angle and land cover type. The revised SRP resulted in improved AOD retrieval, demonstrating reduced bias around local noon.
The study focused on evaluating and modifying the surface reflectance parameterization (SRP) of...
