IOCAS-IR

浏览/检索结果: 共431条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Tropical cyclone intensity forecasting using model knowledge guided deep learning model 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 2, 页码: 10
作者:  Wang, Chong;  Li, Xiaofeng;  Zheng, Gang
收藏  |  浏览/下载:7/0  |  提交时间:2024/04/07
tropical cyclone intensity forecast  deep learning  model knowledge  
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:5/0  |  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  
Improvement of an extended ensemble coupled data Assimilation-Forecast system and its application in El Nino diversity predictions 期刊论文
OCEAN & COASTAL MANAGEMENT, 2024, 卷号: 247, 页码: 15
作者:  Gao, Yanqiu;  Zhang, Jicai;  Liu, Kui;  Chen, Haibo;  Xu, Minjie
收藏  |  浏览/下载:115/0  |  提交时间:2024/04/07
Ensemble Kalman filter  Data assimilation  Forecast system  
Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data 期刊论文
ATMOSPHERE, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:  Xie, Bowen;  Qi, Jifeng;  Yang, Shuguo;  Sun, Guimin;  Feng, Zhongkun;  Yin, Baoshu;  Wang, Wenwu;  Salata, Ferdinando
收藏  |  浏览/下载:42/0  |  提交时间:2024/04/07
sea surface temperature  deep learning  3D U-Net model  marine heat waves  South China Sea  multi-source data  
DeepBlue: Advanced convolutional neural network applications for ocean remote sensing 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2023, 页码: 24
作者:  Wang, Haoyu;  Li, Xiaofeng
Adobe PDF(4818Kb)  |  收藏  |  浏览/下载:7/0  |  提交时间:2024/04/07
Sea Surface Salinity Strongly Weakens ENSO Spring Predictability Barrier 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 23, 页码: 11
作者:  Pang, Yiqun;  Jin, Yishuai;  Zhao, Yingying;  Chen, Xianyao;  Li, Xueqi;  Liu, Ting;  Hu, Junya
Adobe PDF(7167Kb)  |  收藏  |  浏览/下载:37/0  |  提交时间:2024/04/07
ENSO  spring predictability barrier  sea surface salinity  optimal initial structure  
Diversity of strong negative Indian Ocean dipole events since 1980: characteristics and causes 期刊论文
CLIMATE DYNAMICS, 2023, 页码: 24
作者:  Huang, Ke;  Huang, Bohua;  Wang, Dongxiao;  Zhao, Xia;  Zhang, Lianyi;  Liang, Zhanlin;  Wu, Ying;  Yang, Lei;  Wang, Weiqiang
Adobe PDF(9666Kb)  |  收藏  |  浏览/下载:40/0  |  提交时间:2024/04/07
Indian Ocean dipole  Air-sea interaction  Inter-annual variability  Bjerknes feedback  La Nina  
Counteracting effects on ENSO induced by ocean chlorophyll interannual variability and tropical instability wave-scale perturbations in the tropical Pacific 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2023, 页码: 18
作者:  Zhang, Rong-Hua;  Tian, Feng;  Shi, Qidong;  Wang, Xiujun;  Wu, Tongwen
Adobe PDF(5337Kb)  |  收藏  |  浏览/下载:38/0  |  提交时间:2024/04/07
Ocean chlorophyll  Bio-climate feedbacks  Interannual variability  Tropical instability waves  Counteracting effects  A hybrid coupled model  
Advancing ocean subsurface thermal structure estimation in the Pacific Ocean: A multi-model ensemble machine learning approach 期刊论文
DYNAMICS OF ATMOSPHERES AND OCEANS, 2023, 卷号: 104, 页码: 16
作者:  Qi, Jifeng;  Zhang, Linlin;  Yin, Baoshu;  Li, Delei;  Xie, Bowen;  Sun, Guimin
Adobe PDF(13138Kb)  |  收藏  |  浏览/下载:31/0  |  提交时间:2024/04/07
Ensemble machine learning model  Satellite observations  Ocean subsurface thermal structure  Pacific ocean  
Observed interannual variability of the Kuroshio and Luzon Undercurrent associated with tropical and subtropical wind forcing 期刊论文
PROGRESS IN OCEANOGRAPHY, 2023, 卷号: 219, 页码: 14
作者:  Ma, Jie;  Zhang, Zhanqing;  Hu, Shijian;  Villanoy, Cesar;  Guo, Xinying;  Wang, Fan;  Hu, Dunxin
Adobe PDF(14732Kb)  |  收藏  |  浏览/下载:36/0  |  提交时间:2024/04/07
Western North Pacific  Western boundary currents  Interannual variability  Wind forcing  Observations