Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
| Prediction of Changeable Eddy Structures around Luzon Strait Using an Artificial Neural Network Model | |
Kong, Yuan1; Zhang, Lu1; Sun, Yanhua1; Liu, Ze1,2; Guo, Yunxia1 ; Fang, Yong1
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| 2022 | |
| 发表期刊 | REMOTE SENSING
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| 卷号 | 14期号:2页码:23 |
| 通讯作者 | Fang, Yong([email protected]) |
| 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. |
| 关键词 | eddy structure ANN prediction Luzon Strait |
| DOI | 10.3390/rs14020281 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 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 |
| WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000748148400001 |
| 出版者 | MDPI |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/177927 |
| 专题 | 海洋环流与波动重点实验室 |
| 通讯作者 | Fang, Yong |
| 作者单位 | 1.Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, 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. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| remotesensing-14-002（8689KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 | |
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