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Forecasting of Sea-Surface Wind Speed Using Deep-Learning Method Based on Multidimensional Frequency-Domain Feature Fusion

HE Jiaru DENG Zengan

中国海洋大学学报（自然科学英文版）2025，Vol.24Issue(5)：1256-1268,13.

中国海洋大学学报（自然科学英文版）2025，Vol.24Issue(5)：1256-1268,13.DOI:10.1007/s11802-025-5987-8

Forecasting of Sea-Surface Wind Speed Using Deep-Learning Method Based on Multidimensional Frequency-Domain Feature Fusion

HE Jiaru ¹DENG Zengan²

作者信息

1. School of Marine Science and Technology,Tianjin University,Tianjin 300072,China||State Key Laboratory of Target Vulnerability Assessment,Beijing 100036,China
2. School of Marine Science and Technology,Tianjin University,Tianjin 300072,China
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摘要

关键词

wind speed/spatiotemporal sequence prediction/waves/frequency domain

Key words

wind speed/spatiotemporal sequence prediction/waves/frequency domain

引用本文复制引用

HE Jiaru,DENG Zengan..Forecasting of Sea-Surface Wind Speed Using Deep-Learning Method Based on Multidimensional Frequency-Domain Feature Fusion[J].中国海洋大学学报（自然科学英文版）,2025,24(5):1256-1268,13.

基金项目

This research was supported by the National Natural Science Foundation(No.42176020),the Open Research Fund of State Key Laboratory of Target Vulnerability As-sessment(No.YSX2024KFYS001),the National Key Re-search and Development Program(No.2022YFC3105002),and the Project from Key Laboratory of Marine Environ-mental Information Technology(No.2023GFW-1047). （No.42176020）

中国海洋大学学报（自然科学英文版）

ISSN：1672-5182

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