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• W3142331475 abstract "The Southern Ocean comprises 25&#x0025; of the global ocean surface area, accounts for nearly half of the total carbon sink of the global oceans, and is a place that significantly reduces the impacts of anthropogenic CO₂ emissions. Due to the sparsity of observational data, the changes in Southern Ocean carbon sinks over time remain uncertain. In this study, we integrated correlation analysis and a feedforward neural network to improve the accuracy of carbon flux estimations in the Southern Ocean. Based on observation data from 1998&#x2013;2018, we reconstructed the <i>Southern Ocean&#x0027;s pCO₂</i> grid data during this period. The root-mean-square error obtained by fitting the observation data was 8.86 &#x03BC;atm, indicating that the results were better than those of the two primary statistically based models in the Surface Ocean <i>p</i>CO₂ mapping intercomparison. The results also showed that the Southern Ocean&#x0027;s capacity to act as a carbon sink has gradually increased since 2000; it reduced during 2010&#x2013;2013 but increased significantly after that. The Southern Ocean&#x0027;s seasonality is characterized by minimum carbon uptake in winter due to increased upwelling; this is followed by a rapid increase toward maximum uptake in summer, which is mainly biologically driven. There is an apparent double-ring structure in the Southern Ocean, as noted in other studies. This study confirms that the inner ring (50&#x2013;70&#x00B0;S) is a carbon source area gradually transforming into a carbon sink, while the outer ring (35&#x2013;50&#x00B0;S) continues to serve as a carbon sink." @default.
• W3142331475 created "2021-04-13" @default.
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• W3142331475 date "2021-01-01" @default.
• W3142331475 modified "2023-10-18" @default.
• W3142331475 title "Carbon Sinks and Variations of <i>p</i>CO₂ in the Southern Ocean From 1998 to 2018 Based on a Deep Learning Approach" @default.
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• W3142331475 doi "https://doi.org/10.1109/jstars.2021.3066552" @default.
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