Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN
文献类型：期刊论文
| 作者 | Yue, Weihao6; Xu, Yongsheng3,4,5 ; Xiang, Liang2,3,5; Zhu, Shanliang1; Huang, Chao2,5; Zhang, Qingjun1; Zhang, Liqiang; Zhan, Xiangguang6
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| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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| 出版日期 | 2024 |
| 卷号 | 21页码:5 |
| 关键词 | Climate change Recurrent neural networks Temperature measurement Ocean temperature Predictive models Global gridded temperature data with Barnes objective analysis (BOA-ARGO) predictive recurrent neural network (PredRNN) self-attention |
| ISSN号 | 1545-598X |
| DOI | 10.1109/LGRS.2024.3358348 |
| 通讯作者 | Yue, Weihao(2021090023@mails.qust.edu.cn) |
| 英文摘要 | Predicting the 3-D ocean temperature field is a significant task that helps to understand global climate change and the state of ocean motion. Lots of numerical and data-driven models are used to predict ocean temperatures. However, these methods are restricted to the time-sequence prediction of discrete points or rely on convolutional layers to inefficiently capture local spatial dependencies for spatio-temporal prediction. In this letter, we propose a deep learning model named self-attention predictive recurrent neural network (SA-PredRNN) that combines attention mechanisms and predictive recurrent neural networks to capture global positional correlations and spatio-temporal features. Global gridded Argo temperature data with Barnes objective analysis (BOA-ARGO) are used to predict the future 3-D ocean temperature. The average root mean square errors (RMSEs) of the proposed model are promoted by at most 11% and 10%, which indicates that the SA-PredRNN model has a better performance than the other baseline models. |
| 资助项目 | Laoshan Laboratory Science and Technology Innovation Projects |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001173361400015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/184810]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Yue, Weihao |
| 作者单位 | 1.China Acad Space Technol, Inst Remote Sensing Satellite, Beijing 100094, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100039, Peoples R China 4.Laoshan Lab, Lab Ocean & Climate Dynam, Qingdao 266228, Peoples R China 5.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, Lab Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yue, Weihao,Xu, Yongsheng,Xiang, Liang,et al. Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2024,21:5. |
| APA | Yue, Weihao.,Xu, Yongsheng.,Xiang, Liang.,Zhu, Shanliang.,Huang, Chao.,...&Zhan, Xiangguang.(2024).Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,21,5. |
| MLA | Yue, Weihao,et al."Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 21(2024):5. |
入库方式： OAI收割
来源：海洋研究所
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