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 article
 | 
08 Jan 2025
Data description article |  | 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

Viewed

Total article views: 3,582 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,510 637 435 3,582 88 120
  • HTML: 2,510
  • PDF: 637
  • XML: 435
  • Total: 3,582
  • BibTeX: 88
  • EndNote: 120
Views and downloads (calculated since 19 Aug 2024)
Cumulative views and downloads (calculated since 19 Aug 2024)

Viewed (geographical distribution)

Total article views: 3,582 (including HTML, PDF, and XML) Thereof 3,521 with geography defined and 61 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Apr 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint