Articles | Volume 14, issue 2
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


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 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
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.