海洋科学2024，Vol.48Issue(10)：48-61,14.DOI:10.11759/hykx20240318001
深度学习在海浪预测中应用研究进展
Research development about applications of deep learning in ocean wave
摘要
Abstract
With advancements in computer technology and observational methods,ocean wave prediction has pro-gressed significantly,particularly through the use of artificial intelligence.Deep learning,a key component of arti-ficial intelligence,has been widely applied to ocean wave prediction.This paper reviews the applications of deep learning models in predicting significant wave heights and wave spectra.It specifically focuses on four areas:sin-gle-point models using time-series preprocessing and long short-term memory(LSTM),ConvLSTM,attention mechanisms,and sequence-to-sequence models for continuous wave height predictions.The review outlines the advantages and disadvantages of deep learning models in ocean wave prediction and proposes solutions to current challenges.Finally,future research regarding wave prediction is summarized.Although deep learning cannot en-tirely replace numerical ocean wave models in theoretical development,they are poised to enhance our understand-ing of spatial and temporal characteristics of ocean waves.This should guide the creation of intelligent big ocean models and the realization of digital twin oceans.关键词
深度学习/神经网络/海浪预测/海浪谱Key words
deep learning/neural network/ocean wave prediction/wave spectrum分类
海洋科学引用本文复制引用
江龙宇,华锋,江兴杰,金权,王泽宇..深度学习在海浪预测中应用研究进展[J].海洋科学,2024,48(10):48-61,14.基金项目
汕头大学科研启动经费项目(NTF21036),海洋灾害预警与防护广东省重点实验室开放基金课题资助(GPKLMD2023005)[Scientific Research Foundation Program of Shantou Univer-sity,No.NTF21036,the Open Research Fund of Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention,No.GPKLMD2023005] （NTF21036）
