Articles | Volume 19, issue 3
Biogeosciences, 19, 845–859, 2022
https://doi.org/10.5194/bg-19-845-2022
Biogeosciences, 19, 845–859, 2022
https://doi.org/10.5194/bg-19-845-2022

Research article 10 Feb 2022

Research article | 10 Feb 2022

Reconstruction of global surface ocean pCO2 using region-specific predictors based on a stepwise FFNN regression algorithm

Guorong Zhong et al.

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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 bg-2021-224', Anna Denvil-Sommer, 22 Sep 2021
    • AC1: 'Reply on RC1', Guorong Zhong, 30 Sep 2021
  • RC2: 'Comment on bg-2021-224', Anonymous Referee #2, 22 Sep 2021
    • AC2: 'Reply on RC2', Guorong Zhong, 30 Sep 2021
  • RC3: 'Comment on bg-2021-224', Lucas Gloege, 08 Oct 2021
    • AC3: 'Reply on RC3', Guorong Zhong, 19 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (01 Nov 2021) by Peter Landschützer
AR by Guorong Zhong on behalf of the Authors (08 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (15 Nov 2021) by Peter Landschützer
RR by Lucas Gloege (23 Nov 2021)
RR by Anna Denvil-Sommer (29 Nov 2021)
ED: Publish subject to minor revisions (review by editor) (08 Dec 2021) by Peter Landschützer
AR by Guorong Zhong on behalf of the Authors (18 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (10 Jan 2022) by Peter Landschützer
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Short summary
A predictor selection algorithm was constructed to decrease the predicting error in the surface ocean partial pressure of CO2 (pCO2) mapping by finding better combinations of pCO2 predictors in different regions. Compared with previous research using the same combination of predictors in all regions, using different predictors selected by the algorithm in different regions can effectively decrease pCO2 predicting errors.
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