Articles | Volume 16, issue 8
https://doi.org/10.5194/amt-16-2067-2023
https://doi.org/10.5194/amt-16-2067-2023
Research article
 | 
19 Apr 2023
Research article |  | 19 Apr 2023

The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color

Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Brian Cairns, Xiaoguang Xu, and J. Vanderlei Martins

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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 egusphere-2022-1413', Anonymous Referee #1, 13 Feb 2023
    • AC1: 'Reply on RC1', Meng Gao, 10 Mar 2023
  • RC2: 'Comment on egusphere-2022-1413', Anonymous Referee #2, 19 Feb 2023
    • AC2: 'Reply on RC2', Meng Gao, 10 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Meng Gao on behalf of the Authors (10 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Mar 2023) by Jian Xu
RR by Anonymous Referee #2 (14 Mar 2023)
RR by Anonymous Referee #1 (17 Mar 2023)
ED: Publish as is (17 Mar 2023) by Jian Xu
AR by Meng Gao on behalf of the Authors (17 Mar 2023)
Short summary
Multi-angle polarimetric measurements have been shown to greatly improve the remote sensing capability of aerosols and help atmospheric correction for ocean color retrievals. However, the uncertainty correlations among different measurement angles have not been well characterized. In this work, we provided a practical framework to evaluate the impact of the angular uncertainty correlation in retrieval results and a method to directly estimate correlation strength from retrieval residuals.