Articles | Volume 14, issue 4
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Antti Lipponen on behalf of the Authors (19 Feb 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Mar 2021) by Hiren Jethva
AR by Antti Lipponen on behalf of the Authors (15 Mar 2021)
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.