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The 3D-Geoformer for ENSO studies:a Transformer-based model with integrated gradient methods for enhanced explainability

Lu ZHOU Rong-Hua ZHANG

海洋湖沼学报（英文版）2025，Vol.43Issue(6)：1688-1708,21.

海洋湖沼学报（英文版）2025，Vol.43Issue(6)：1688-1708,21.DOI:10.1007/s00343-025-4330-y

The 3D-Geoformer for ENSO studies:a Transformer-based model with integrated gradient methods for enhanced explainability

Lu ZHOU ¹Rong-Hua ZHANG²

作者信息

1. State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster,Ministry of Education(KLME),Joint International Research Laboratory of Climate and Environmental Change(ILCEC),Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science and Technology,Nanjing 210044,China||State Key Laboratory of Climate System Prediction and Risk Management/School of Marine Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,China
2. State Key Laboratory of Climate System Prediction and Risk Management/School of Marine Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,China||Laoshan Laboratory,Qingdao 266237,China
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摘要

关键词

Transformer model/3D-Geoformer/El Niño-Southern Oscillation(ENSO)prediction/explainable artificial intelligence(XAI)/integrated gradient method

Key words

Transformer model/3D-Geoformer/El Niño-Southern Oscillation(ENSO)prediction/explainable artificial intelligence(XAI)/integrated gradient method

引用本文复制引用

Lu ZHOU,Rong-Hua ZHANG..The 3D-Geoformer for ENSO studies:a Transformer-based model with integrated gradient methods for enhanced explainability[J].海洋湖沼学报（英文版）,2025,43(6):1688-1708,21.

基金项目

Supported by the Laoshan Laboratory(No.LSKJ202202402),the National Natural Science Foundation of China(No.42030410),the Startup Foundation for Introducing Talent of Nanjing University of Information Science & Technology,and Jiangsu Innovation Research Group(No.JSSCTD 202346).Lu ZHOU is additionally supported by the China National Postdoctoral Program for Innovative Talents(No.BX20240169)and the China Postdoctoral Science Foundation(No.2141062400101) （No.LSKJ202202402）

海洋湖沼学报（英文版）

ISSN：2096-5508

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