Articles | Volume 16, issue 23
https://doi.org/10.5194/amt-16-5749-2023
https://doi.org/10.5194/amt-16-5749-2023
Research article
 | 
01 Dec 2023
Research article |  | 01 Dec 2023

Performance evaluation of three bio-optical models in aerosol and ocean color joint retrievals

Neranga K. Hannadige, Peng-Wang Zhai, Meng Gao, Yongxiang Hu, P. Jeremy Werdell, Kirk Knobelspiesse, and Brian Cairns

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-142', Anonymous Referee #1, 10 Aug 2023
  • RC2: 'Comment on amt-2023-142', Anonymous Referee #2, 15 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Neranga Hannadige on behalf of the Authors (30 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 Oct 2023) by Alexander Kokhanovsky
AR by Neranga Hannadige on behalf of the Authors (09 Oct 2023)  Author's response 
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Short summary
We evaluated the impact of three ocean optical models with different numbers of free parameters on the performance of an aerosol and ocean color remote sensing algorithm using the multi-angle polarimeter (MAP) measurements. It was demonstrated that the three- and seven-parameter bio-optical models can be used to accurately represent both open and coastal waters, whereas the one-parameter model has smaller retrieval uncertainty over open water.