Articles | Volume 17, issue 7
https://doi.org/10.5194/tc-17-2665-2023
https://doi.org/10.5194/tc-17-2665-2023
Research article
 | 
11 Jul 2023
Research article |  | 11 Jul 2023

Underestimation of oceanic carbon uptake in the Arctic Ocean: ice melt as predictor of the sea ice carbon pump

Benjamin Richaud, Katja Fennel, Eric C. J. Oliver, Michael D. DeGrandpre, Timothée Bourgeois, Xianmin Hu, and Youyu Lu

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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 egusphere-2022-861', Anonymous Referee #1, 08 Nov 2022
    • AC2: 'Reply on RC1', Benjamin Richaud, 16 Feb 2023
  • RC2: 'Comment on egusphere-2022-861', Martin Vancoppenolle, 02 Jan 2023
    • AC3: 'Reply on RC2', Benjamin Richaud, 16 Feb 2023
  • EC1: 'Comment on egusphere-2022-861', Jean-Louis Tison, 03 Jan 2023
    • AC1: 'Reply on EC1', Benjamin Richaud, 15 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (23 Feb 2023) by Jean-Louis Tison
AR by Benjamin Richaud on behalf of the Authors (23 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Feb 2023) by Jean-Louis Tison
RR by Anonymous Referee #1 (24 Feb 2023)
RR by Martin Vancoppenolle (05 May 2023)
ED: Publish subject to minor revisions (review by editor) (16 May 2023) by Jean-Louis Tison
AR by Benjamin Richaud on behalf of the Authors (25 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (01 Jun 2023) by Jean-Louis Tison
AR by Benjamin Richaud on behalf of the Authors (05 Jun 2023)  Manuscript 
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Short summary
Sea ice is a dynamic carbon reservoir. Its seasonal growth and melt modify the carbonate chemistry in the upper ocean, with consequences for the Arctic Ocean carbon sink. Yet, the importance of this process is poorly quantified. Using two independent approaches, this study provides new methods to evaluate the error in air–sea carbon flux estimates due to the lack of biogeochemistry in ice in earth system models. Those errors range from 5 % to 30 %, depending on the model and climate projection.