Articles | Volume 14, issue 4
https://doi.org/10.5194/amt-14-2981-2021
https://doi.org/10.5194/amt-14-2981-2021
Research article
 | 
22 Apr 2021
Research article |  | 22 Apr 2021

Model-enforced post-process correction of satellite aerosol retrievals

Antti Lipponen, Ville Kolehmainen, Pekka Kolmonen, Antti Kukkurainen, Tero Mielonen, Neus Sabater, Larisa Sogacheva, Timo H. Virtanen, and Antti Arola

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Latest update: 15 Jun 2024
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Short summary
We have developed a new computational method to post-process-correct the satellite aerosol retrievals. The proposed method combines the conventional satellite aerosol retrievals relying on physics-based models and machine learning. The results show significantly improved accuracy in the aerosol data over the operational satellite data products. The correction can be applied to the existing satellite aerosol datasets with no need to fully reprocess the much larger original radiance data.