Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks
Author:
Affiliation:
1. Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
2. National Space Science Center, Chinese Academy of Sciences, Beijing, China
Funder
Deutsches Zentrum für Luft- und Raumfahrt
Chinese Academy of Sciences
China Scholarship Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09851509.pdf?arnumber=9851509
Reference62 articles.
1. Acceleration techniques for the discrete ordinate method
2. Retrieval of aerosol parameters from the oxygen A band in the presence of chlorophyll fluorescence
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4. The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor
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