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Prediction of Changeable Eddy Structures around Luzon Strait Using an Artificial Neural Network Model

文献类型：期刊论文

作者Kong, Yuan2; Zhang, Lu2; Sun, Yanhua2; Liu, Ze1,2; Guo, Yunxia2; Fang, Yong2
刊名REMOTE SENSING
出版日期2022
卷号14期号:2页码:23
关键词eddy structure ANN prediction Luzon Strait
DOI10.3390/rs14020281
通讯作者Fang, Yong(fangyong@sdust.eud.cn)
英文摘要Mesoscale eddies occur frequently in the Luzon Strait and its adjacent area, and accurate prediction of eddy structure changes is of great significance. In recent years, artificial neural network (ANN) has been widely applied in the study of physical oceanography with the continuous accumulation of satellite remote sensing data. This study adopted an ANN approach to predict the evolution of eddies around the Luzon Strait, based on 25 years of sea level anomaly (SLA) data, 85% of which are used for training and the remaining 15% are reserved for testing. The original SLA data were firstly decomposed into spatial modes (EOFs) and time-dependent principal components (PCs) by the empirical orthogonal function (EOF) analysis. In order to calculate faster and save costs, only the first 35 PCs were selected as predictors, whereas their variance contribution rate reached 96%. The results of predicted reconstruction indicated that the neural network-based model can reliably predict eddy structure evaluations for about 15 days. Importantly, the position and variation of four typical eddy events were reconstructed, and included a cyclone eddy event, an eddy shedding event, an anticyclone eddy event, and an abnormal anticyclone eddy event.
资助项目National Natural Science Foundation of China[41776020] ; National Natural Science Foundation of China[41630967] ; National Natural Science Foundation of China[61602188] ; Natural Science Foundation of Shandong Province[ZR2019QD018] ; Natural Science Foundation of Shandong Province[ZR2021QD108] ; CAS Key Laboratory of Science and Technology on Operational Oceanography[OST2021-05] ; Scientific Research Foundation of Shandong University of Science and Technology[2017RCJJ068] ; Scientific Research Foundation of Shandong University of Science and Technology[2017RCJJ069] ; State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences[LTO2115]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000748148400001
出版者MDPI
源URL[http://ir.qdio.ac.cn/handle/337002/177926]  
专题海洋研究所_海洋环流与波动重点实验室
通讯作者Fang, Yong
作者单位1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
2.Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
推荐引用方式
GB/T 7714		 Kong, Yuan,Zhang, Lu,Sun, Yanhua,et al. Prediction of Changeable Eddy Structures around Luzon Strait Using an Artificial Neural Network Model[J]. REMOTE SENSING,2022,14(2):23.
APA Kong, Yuan,Zhang, Lu,Sun, Yanhua,Liu, Ze,Guo, Yunxia,&Fang, Yong.(2022).Prediction of Changeable Eddy Structures around Luzon Strait Using an Artificial Neural Network Model.REMOTE SENSING,14(2),23.
MLA Kong, Yuan,et al."Prediction of Changeable Eddy Structures around Luzon Strait Using an Artificial Neural Network Model".REMOTE SENSING 14.2(2022):23.

入库方式： OAI收割

来源：海洋研究所

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