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Reconstruction of sea surface pCO2 with high resolution: A case study of the Atlantic Ocean
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Xinyi Wang1, 2, 3, Chuyi Wu1, 2, 3, Sensen Wu1, 2, 3, Yijun Chen1, 2, 3, Zhenhong Du1, 2, 3, *
Haiyang Xuebao | 2023, 45(3) : 147 - 158
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Haiyang Xuebao | 2023, 45(3): 147-158
• Article •
Reconstruction of sea surface pCO2 with high resolution: A case study of the Atlantic Ocean
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Xinyi Wang1, 2, 3, Chuyi Wu1, 2, 3, Sensen Wu1, 2, 3, Yijun Chen1, 2, 3, Zhenhong Du1, 2, 3, *
Affiliations
  • 1School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
  • 2Zhejiang Provincial Key Laboratory of Geographic Information System, Hangzhou 310030, China
  • 3Department of Geographic and Spatial Information Science, Zhejiang University, Hangzhou 310027, China
Published: 2023-03-01 doi: 10.12284/hyxb2023048
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Ocean is an important carbon sink in nature. The sea-air carbon dioxide flux is usually estimated by the difference of partial pressure of carbon dioxide (pCO2) between the atmosphere and the sea surface. Due to the imbalance of observation data on temporal and spatial distribution and datasets used for prediction, there is still large room for improvement in spatial resolution for present reconstruction of pCO2 on sea surface. In order to fit the temporal and spatial variability under high spatial resolution better, based on the sea surface fugacity of carbon dioxide (fCO2) observations of the Surface Ocean CO2 Atlas (SOCAT) and other multi-source data including remote sensing data, the nonlinear relationship between sea surface pCO2 and physical, biological, optical factors was established by a XGBoost model and a weight model was built based on spatiotemporal frequency of samples. A 0.041 7°×0.041 7° monthly sea surface pCO2 dataset in Atlantic from 2000 to 2018 was finally constructed with correlation coefficient of 0.966, mean squared error of 8.087 μatm and mean error of 4.012 μatm on prediction dataset. The reconstruction is highly consistent to other similar reconstruction results on temporal and spatial trend and also gains advantage in spatial resolution.

sea surface carbon dioxide partial pressure  /  remote sensing  /  high spatial resolution
Xinyi Wang, Chuyi Wu, Sensen Wu, Yijun Chen, Zhenhong Du. Reconstruction of sea surface pCO2 with high resolution: A case study of the Atlantic Ocean[J]. Haiyang Xuebao, 2023 , 45 (3) : 147 -158 . DOI: 10.12284/hyxb2023048
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Year 2023 volume 45 Issue 3
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Article Info
doi: 10.12284/hyxb2023048
  • Receive Date：2022-04-22
  • Online Date：2025-12-26
  • Published：2023-03-01
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  • Received：2022-04-22
  • Revised：2022-10-12
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Affiliations
    1School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
    2Zhejiang Provincial Key Laboratory of Geographic Information System, Hangzhou 310030, China
    3Department of Geographic and Spatial Information Science, Zhejiang University, Hangzhou 310027, China
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小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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