Articles | Volume 17, issue 1
https://doi.org/10.5194/essd-17-43-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-43-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Jan 2025
Data description paper |
| 08 Jan 2025
| 08 Jan 2025
A machine-learning reconstruction of sea surface pCO2 in the North American Atlantic Coastal Ocean Margin from 1993 to 2021
State Key Laboratory of Marine Environmental Science & College of Ocean and Earth Science, Xiamen University, Xiamen, Fujian, 361102, China
School of Marine Science and Policy, University of Delaware, Newark, Delaware 19716, USA
School of Marine Sciences, State Key Laboratory of Environmental Adaptability for Industrial Products, Sun Yat-sen University, Zhuhai, Guangdong, 519082, China
Alizée Roobaert
Flanders Marine Institute (VLIZ), Jacobsenstraat 1, Ostend, 8400, Belgium
Luping Song
School of Marine Science and Technology, Zhejiang Ocean University, Zhoushan, Zhejiang, 316022, China
Xiao-Hai Yan
School of Marine Science and Policy, University of Delaware, Newark, Delaware 19716, USA
Wei-Jun Cai
School of Marine Science and Policy, University of Delaware, Newark, Delaware 19716, USA
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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 pCO2 for coastal carbon research.
This study addresses the lack of comprehensive sea surface partial pressure of CO2 (pCO2) data...
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