Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1475-2021
https://doi.org/10.5194/amt-14-1475-2021
Research article
 | 
25 Feb 2021
Research article |  | 25 Feb 2021

Analysis of 3D cloud effects in OCO-2 XCO2 retrievals

Steven T. Massie, Heather Cronk, Aronne Merrelli, Christopher O'Dell, K. Sebastian Schmidt, Hong Chen, and David Baker

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mario Ebel on behalf of the Authors (16 Dec 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Jan 2021) by Bernhard Mayer
RR by Anonymous Referee #2 (19 Jan 2021)
ED: Publish as is (19 Jan 2021) by Bernhard Mayer
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Short summary
The OCO-2 science team is working to retrieve CO2 measurements that can be used by the carbon cycle community to calculate regional sources and sinks of CO2. The retrieved data, however, are in need of improvements in accuracy. This paper discusses several ways in which 3D cloud metrics (such as the distance of a measurement to the nearest cloud) can be used to account for cloud effects in the OCO-2 CO2 data files.