Articles | Volume 13, issue 3
https://doi.org/10.5194/essd-13-1403-2021
© Author(s) 2021. 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-13-1403-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Feasibility of reconstructing the summer basin-scale sea surface partial pressure of carbon dioxide from sparse in situ observations over the South China Sea
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, 361102, China
College of Ocean and Earth Sciences, Xiamen University, Xiamen, 361102, China
Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, Xiamen, 361102, China
Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA
Yao Chen
Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA
Yan Bai
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China
Huan Qin
Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA
Zhixuan Wang
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, 361102, China
College of Ocean and Earth Sciences, Xiamen University, Xiamen, 361102, China
Baoshan Chen
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, 361102, China
College of Ocean and Earth Sciences, Xiamen University, Xiamen, 361102, China
Xianghui Guo
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, 361102, China
College of Ocean and Earth Sciences, Xiamen University, Xiamen, 361102, China
Minhan Dai
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, 361102, China
College of Ocean and Earth Sciences, Xiamen University, Xiamen, 361102, China
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Cited
8 citations as recorded by crossref.
- Remote Sensing Estimations of the Seawater Partial Pressure of CO₂ Using Sea Surface Roughness Derived From Synthetic Aperture Radar Y. Wang et al. 10.1109/TGRS.2024.3379984
- Sub-monthly Processes Contribute Significantly to CO2 Uptake in the South China Sea X. Wang et al. 10.1007/s00376-025-4439-0
- Declined trends of chlorophyll a in the South China Sea over 2005–2019 from remote sensing reconstruction T. Wang et al. 10.1007/s13131-022-2097-y
- Construction of a High Spatiotemporal Resolution Dataset of Satellite-DerivedpCO2and Air–Sea CO2Flux in the South China Sea (2003–2019) Z. Song et al. 10.1109/TGRS.2023.3306389
- Prediction of sea surface pCO2 in the South China Sea using Spatiotemporal Convolutional LSTM model S. Li et al. 10.1007/s00343-025-4257-3
- Carbon Fluxes in the Coastal Ocean: Synthesis, Boundary Processes, and Future Trends M. Dai et al. 10.1146/annurev-earth-032320-090746
- Spatial reconstruction of long-term (2003–2020) sea surface pCO2 in the South China Sea using a machine-learning-based regression method aided by empirical orthogonal function analysis Z. Wang et al. 10.5194/essd-15-1711-2023
- Controlling factor analysis of oceanic surface pCO2 in the South China Sea using a three-dimensional high-resolution biogeochemical model M. Zhang et al. 10.3389/fmars.2023.1155979
7 citations as recorded by crossref.
- Remote Sensing Estimations of the Seawater Partial Pressure of CO₂ Using Sea Surface Roughness Derived From Synthetic Aperture Radar Y. Wang et al. 10.1109/TGRS.2024.3379984
- Sub-monthly Processes Contribute Significantly to CO2 Uptake in the South China Sea X. Wang et al. 10.1007/s00376-025-4439-0
- Declined trends of chlorophyll a in the South China Sea over 2005–2019 from remote sensing reconstruction T. Wang et al. 10.1007/s13131-022-2097-y
- Construction of a High Spatiotemporal Resolution Dataset of Satellite-DerivedpCO2and Air–Sea CO2Flux in the South China Sea (2003–2019) Z. Song et al. 10.1109/TGRS.2023.3306389
- Prediction of sea surface pCO2 in the South China Sea using Spatiotemporal Convolutional LSTM model S. Li et al. 10.1007/s00343-025-4257-3
- Carbon Fluxes in the Coastal Ocean: Synthesis, Boundary Processes, and Future Trends M. Dai et al. 10.1146/annurev-earth-032320-090746
- Spatial reconstruction of long-term (2003–2020) sea surface pCO2 in the South China Sea using a machine-learning-based regression method aided by empirical orthogonal function analysis Z. Wang et al. 10.5194/essd-15-1711-2023
Latest update: 05 Sep 2025
Short summary
This study reconstructs a complete field of summer sea surface partial pressure of CO2 (pCO2) over the South China Sea (SCS) with a 0.5° resolution in the period of 2000–2017 using the scattered underway pCO2 observations. The spectral optimal gridding method was used in this reconstruction with empirical orthogonal functions computed from remote sensing data. Our reconstructed data show that the rate of sea surface pCO2 increase in the SCS is 2.4 ± 0.8 µatm yr-1 during 2000–2017.
This study reconstructs a complete field of summer sea surface partial pressure of CO2 (pCO2)...
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