Articles | Volume 15, issue 4
https://doi.org/10.5194/essd-15-1711-2023
https://doi.org/10.5194/essd-15-1711-2023
Data description paper
 | 
17 Apr 2023
Data description paper |  | 17 Apr 2023

Spatial reconstruction of long-term (2003–2020) sea surface pCO2 in the South China Sea using a machine-learning-based regression method aided by empirical orthogonal function analysis

Zhixuan Wang, Guizhi Wang, Xianghui Guo, Yan Bai, Yi Xu, and Minhan Dai

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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 essd-2022-322', Anonymous Referee #1, 17 Nov 2022
    • AC1: 'Reply on RC1', Minhan Dai, 23 Dec 2022
  • RC2: 'Comment on essd-2022-322', Anonymous Referee #2, 24 Nov 2022
    • AC2: 'Reply on RC2', Minhan Dai, 23 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Minhan Dai on behalf of the Authors (20 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Reconsider after major revisions (26 Jan 2023) by Giuseppe M.R. Manzella
AR by Minhan Dai on behalf of the Authors (08 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Mar 2023) by Giuseppe M.R. Manzella
AR by Minhan Dai on behalf of the Authors (22 Mar 2023)
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Short summary
We reconstructed monthly sea surface pCO2 data with a high spatial resolution in the South China...
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