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Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657
作者:  Zhou, Yuan;  Ren, Tian;  Chen, Keran;  Gao, Le;  Li, Xiaofeng
收藏  |  浏览/下载:37/0  |  提交时间:2024/06/04
Forecasting  Predictive models  Atmospheric waves  Spatiotemporal phenomena  Sea surface  Ocean waves  Data models  Sea-surface height anomaly (SSHA)  deep learning (DL)  spatiotemporal prediction  Rossby waves  
Multilayer Fusion Recurrent Neural Network for Sea Surface Height Anomaly Field Prediction 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhou, Yuan;  Lu, Chang;  Chen, Keran;  Li, Xiaofeng
Adobe PDF(5381Kb)  |  收藏  |  浏览/下载:284/0  |  提交时间:2022/04/12
Computer architecture  Microprocessors  Predictive models  Mathematical models  Sea surface  Data models  Satellites  Deep learning (DL)  field prediction  satellite remote sensing data  sea surface height anomaly (SSHA)  
Effect of low-frequency Rossby wave on thermal structure of the upper southwestern tropical Indian Ocean 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2010, 卷号: 28, 期号: 2, 页码: 344-353
作者:  Feng Junqiao;  Bai Xuezhi;  Chen Yongli;  Hu Dunxin;  [email protected]
Adobe PDF(2185Kb)  |  收藏  |  浏览/下载:244/0  |  提交时间:2010/04/20
Rossby Wave  Vertical Baroclinic Mode  Argo  Sea Surface Height Anomaly (Ssha)  Sea Surface Temperature Anomaly (Ssta)