Articles | Volume 17, issue 1
https://doi.org/10.5194/essd-17-43-2025
https://doi.org/10.5194/essd-17-43-2025
Data description paper
 | 
08 Jan 2025
Data description paper |  | 08 Jan 2025

A machine-learning reconstruction of sea surface pCO2 in the North American Atlantic Coastal Ocean Margin from 1993 to 2021

Zelun Wu, Wenfang Lu, Alizée Roobaert, Luping Song, Xiao-Hai Yan, and Wei-Jun Cai

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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-2024-309', Anonymous Referee #1, 14 Oct 2024
    • AC2: 'Reply on RC1', Zelun Wu, 02 Nov 2024
  • RC2: 'Comment on essd-2024-309', Anonymous Referee #2, 17 Oct 2024
    • AC1: 'Reply on RC2', Zelun Wu, 02 Nov 2024
  • EC1: 'Comment on essd-2024-309', Sabine Schmidt, 25 Oct 2024
    • AC3: 'Reply on EC1', Zelun Wu, 02 Nov 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Zelun Wu on behalf of the Authors (02 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (11 Nov 2024) by Sabine Schmidt
ED: Publish as is (11 Nov 2024) by Sabine Schmidt
AR by Zelun Wu on behalf of the Authors (12 Nov 2024)  Manuscript 
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Short summary
This study addresses the lack of comprehensive sea surface partial pressure of CO2 (pCO2) data in the North American Atlantic Coastal Ocean Margin (NAACOM) by developing the Reconstructed Coastal Acidification Database (ReCAD-NAACOM-pCO2). The product reconstructed sea surface pCO2 from 1993 to 2021 using machine-learning and environmental data, capturing seasonal cycles, regional variations, and long-term trends of pCOfor coastal carbon research.
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