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A deep learning-based hybrid model for improved SST prediction in the tropical Pacific Ocean

Yuanzhe MA Bowen XIE Zhongkun FENG Guimin SUN Cong ZHANG Shuguo YANG

海洋湖沼学报（英文版）2025，Vol.43Issue(6)：1709-1725,17.

海洋湖沼学报（英文版）2025，Vol.43Issue(6)：1709-1725,17.DOI:10.1007/s00343-025-4333-8

A deep learning-based hybrid model for improved SST prediction in the tropical Pacific Ocean

Yuanzhe MA ¹Bowen XIE ²Zhongkun FENG ²Guimin SUN ³Cong ZHANG ⁴Shuguo YANG¹

作者信息

1. School of Mathematics and Physics,Qingdao University of Science and Technology,Qingdao 266061,China
2. School of Mathematics and Physics,Qingdao University of Science and Technology,Qingdao 266061,China||CAS Key Laboratory of Ocean Circulation and Waves,Institute of Oceanology,Chinese Academy of Sciences,Qingdao 266071,China
3. CAS Key Laboratory of Ocean Circulation and Waves,Institute of Oceanology,Chinese Academy of Sciences,Qingdao 266071,China||University of Chinese Academy of Sciences,Beijing 100049,China
4. Marine Sciences Research Institute of Shandong Province,Qingdao 266104,China
折叠

摘要

关键词

sea surface temperature(SST)/deep learning/hybrid model/prediction/tropical Pacific Ocean

Key words

sea surface temperature(SST)/deep learning/hybrid model/prediction/tropical Pacific Ocean

引用本文复制引用

Yuanzhe MA,Bowen XIE,Zhongkun FENG,Guimin SUN,Cong ZHANG,Shuguo YANG..A deep learning-based hybrid model for improved SST prediction in the tropical Pacific Ocean[J].海洋湖沼学报（英文版）,2025,43(6):1709-1725,17.

基金项目

Supported by the National Natural Science Foundation of China(Nos.42476024,42176010)and the National Key Research and Development Program of China(No.2022YFF0801400) （Nos.42476024,42176010）

海洋湖沼学报（英文版）

ISSN：2096-5508

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