Articles | Volume 13, issue 11
https://doi.org/10.5194/amt-13-5955-2020
© Author(s) 2020. 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-13-5955-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Nov 2020
Research article |
| 09 Nov 2020
| 09 Nov 2020
Improving GOES Advanced Baseline Imager (ABI) aerosol optical depth (AOD) retrievals using an empirical bias correction algorithm
Hai Zhang
CORRESPONDING AUTHOR
I.M. Systems Group, 5825 University Research Ct, Suite 3250, College Park, MD 20740, USA
Shobha Kondragunta
NOAA/NESDIS, 5825 University Research Ct, Suite 3250, College Park, MD 20740, USA
Istvan Laszlo
NOAA/NESDIS, 5825 University Research Ct, Suite 3250, College Park, MD 20740, USA
Mi Zhou
I.M. Systems Group, 5825 University Research Ct, Suite 3250, College Park, MD 20740, USA
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Short summary
Geostationary Operational Environmental Satellites (GOES) retrieve high temporal resolution aerosol optical depth, which is a measure of the aerosol quantity within the atmospheric column. This work introduces an algorithm that improves the accuracy of the aerosol optical depth retrievals from GOES. The resulting data product can be used in monitoring the air quality and climate change research.
Geostationary Operational Environmental Satellites (GOES) retrieve high temporal resolution...
