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An effective deep-learning prediction of Arctic sea-ice concentration based on the U-Net model

Yifan Xie Ke Fan Hongqing Yang Yi Fan Shengping He

Atmospheric and Oceanic Science Letters2026，Vol.19Issue(1)：P.34-40,7.

Atmospheric and Oceanic Science Letters2026，Vol.19Issue(1)：P.34-40,7.DOI:10.1016/j.aosl.2025.100691

An effective deep-learning prediction of Arctic sea-ice concentration based on the U-Net model

Yifan Xie ¹Ke Fan ¹Hongqing Yang ¹Yi Fan ²Shengping He³

作者信息

1. School of Atmospheric Sciences,Sun Yat-sen University,and Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai,China
2. State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster,Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing,China School of Atmospheric Sciences,Nanjing University of Information Science and Technology,Nanjing,China
3. Geophysical Institute,University of Bergen and Bjerknes Centre for Climate Research,Bergen,Norway Nansen Environmental and Remote Sensing Center,Bergen,Norway
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摘要

关键词

Arctic sea-ice concentration/Deep-learning prediction/U-Net model/CFSv2/NorCPM

分类

海洋科学

引用本文复制引用

Yifan Xie,Ke Fan,Hongqing Yang,Yi Fan,Shengping He..An effective deep-learning prediction of Arctic sea-ice concentration based on the U-Net model[J].Atmospheric and Oceanic Science Letters,2026,19(1):P.34-40,7.

基金项目

supported by the National Key Research and Development Program of China[grant number 2022YFE0106800] （）

an Innovation Group Project of the Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)[grant number 311024001] （Zhuhai）

a project supported by the Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)[grant number SML2023SP209] （Zhuhai）

a Research Council of Norway funded project(MAPARC)[grant number 328943] （MAPARC）

a Nansen Center´s basic institutional funding[grant number 342624] （）

the high-performance computing support from the School of Atmospheric Science at Sun Yat-sen University。（）

Atmospheric and Oceanic Science Letters

ISSN：1674-2834

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