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A dual-attention embedded CNN model for estimating mixed layer depths in the Bay of Bengal

Wentao JIA Xun GONG Shanliang ZHU Jifeng QI Xianmei ZHOU Hengkai YAO Xiang GONG Wenwu WANG

海洋湖沼学报（英文版）2025，Vol.43Issue(4)：1075-1092,18.

海洋湖沼学报（英文版）2025，Vol.43Issue(4)：1075-1092,18.DOI:10.1007/s00343-024-4122-9

A dual-attention embedded CNN model for estimating mixed layer depths in the Bay of Bengal

Wentao JIA ¹Xun GONG ²Shanliang ZHU ¹Jifeng QI ³Xianmei ZHOU ¹Hengkai YAO ¹Xiang GONG ¹Wenwu WANG¹

作者信息

1. School of Mathematics and Physics,Qingdao University of Science and Technology,Qingdao 266061,China||Qingdao Innovation Center of Artificial Intelligence Ocean Technology,Qingdao 266061,China
2. Institute for Advanced Marine Research,China University of Geosciences,Guangzhou 511462,China||State Key Laboratory of Biogeology and Environmental Geology,Hubei Key Laboratory of Marine Geological Resources,China University of Geosciences,Wuhan 430074,China||Key Laboratory of Computing Power Network and Information Security Ministry of Education,Shandong Computer Science Center(National Supercomputer Center in Jinan),Qilu University of Technology(Shandong Academy of Sciences),Jinan 250014,China
3. Key Laboratory of Ocean Observation and Forecasting and 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
折叠

摘要

关键词

mixed layer depth(MLD)/remote sensing observation/dual-attention module(DA-CNN)/Bay of Bengal

Key words

mixed layer depth(MLD)/remote sensing observation/dual-attention module(DA-CNN)/Bay of Bengal

引用本文复制引用

Wentao JIA,Xun GONG,Shanliang ZHU,Jifeng QI,Xianmei ZHOU,Hengkai YAO,Xiang GONG,Wenwu WANG..A dual-attention embedded CNN model for estimating mixed layer depths in the Bay of Bengal[J].海洋湖沼学报（英文版）,2025,43(4):1075-1092,18.

基金项目

Supported by the Ministry of Science and Technology of the People's Republic of China(No.2019YFE0125000)and the National Natural Science Foundation of China(No.42376032) （No.2019YFE0125000）

海洋湖沼学报（英文版）

ISSN：2096-5508

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