Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-2863-2018
https://doi.org/10.5194/amt-11-2863-2018
Research article
 | 
17 May 2018
Research article |  | 17 May 2018

Preliminary verification for application of a support vector machine-based cloud detection method to GOSAT-2 CAI-2

Yu Oishi, Haruma Ishida, Takashi Y. Nakajima, Ryosuke Nakamura, and Tsuneo Matsunaga

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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 Yu Oishi on behalf of the Authors (22 Mar 2018)  Manuscript 
ED: Reconsider after major revisions (04 Apr 2018) by Murray Hamilton
AR by Yu Oishi on behalf of the Authors (18 Apr 2018)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (22 Apr 2018) by Murray Hamilton
AR by Yu Oishi on behalf of the Authors (25 Apr 2018)  Author's response   Manuscript 
ED: Publish as is (29 Apr 2018) by Murray Hamilton
AR by Yu Oishi on behalf of the Authors (02 May 2018)  Manuscript 
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Short summary
Preparations are continuing for the launch of the Greenhouse Gases Observing Satellite 2 (GOSAT-2) in the fiscal year 2018. To improve the accuracy of the estimates of greenhouse gases concentrations, we need to refine the existing cloud discrimination algorithm. In this paper we showed a new cloud discrimination algorithm of pre-launch version for GOSAT-2, and compared the existing algorithm with the new algorithm.