Articles | Volume 23, issue 3
https://doi.org/10.5194/bg-23-967-2026
https://doi.org/10.5194/bg-23-967-2026
Research article
 | 
03 Feb 2026
Research article |  | 03 Feb 2026

Reconstruction and spatiotemporal analysis of global surface ocean pCO2 considering sea area characteristics

Huisheng Wu, Yunlong Ji, Lejie Wang, Xiaoke Liu, Wenliang Zhou, Long Cui, Yang Wang, Min Liu, and Zhuang Li

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Latest update: 16 Sep 2026
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Short summary
This study reconstructs global ocean surface pCO2 (2000–2019) using multi-source data and machine learning, identifying Random Forest (RF) as the optimal model and revealing equatorial-high/polar-low patterns with rising trends.
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