Prediction of sea surface pCO2 in the South China Sea using Spatiotemporal Convolutional LSTM modelOA
Prediction of sea surface pCO2 in the South China Sea using Spatiotemporal Convolutional LSTM model
Shuang LI;Yu GAO;Jiannan GAO;Yaqi ZHAO;Peng HAO;Jinbao SONG;Chengcheng YU
Ocean College,Zhejiang University,Zhoushan 316021,ChinaOcean College,Zhejiang University,Zhoushan 316021,ChinaOcean College,Zhejiang University,Zhoushan 316021,ChinaOcean College,Zhejiang University,Zhoushan 316021,ChinaOcean College,Zhejiang University,Zhoushan 316021,ChinaOcean College,Zhejiang University,Zhoushan 316021,ChinaMarine Science and Technology College,Zhejiang Ocean University,Zhoushan 316004,China
sea surface carbon dioxideSouth China SeaSpatiotemporal Convolutional Long Short-Term Memory(ST-ConvLSTM)deep learning
sea surface carbon dioxideSouth China SeaSpatiotemporal Convolutional Long Short-Term Memory(ST-ConvLSTM)deep learning
《海洋湖沼学报（英文版）》 2026 (1)
19-35,17
Supported by the National Key Research and Development Program of China(No.2023YFC3008202),the National Natural Science Foundation of China(No.42406019),and the Scientific Research Fund of Zhejiang Provincial Education Department(No.Y202353066)
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