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Constrained Iterative Adaptive Algorithm for the Detection and Localization of RFI Sources Based on the SMAP L-Band Microwave Radiometer 期刊论文
remote sensing, 2024, 卷号: 16, 期号: 10, 页码: 1791
作者:  Wang, Xinxin;  Wang, Xiang;  Wang, Lin;  Fan, Jianchao;  Wei, Enbo
Adobe PDF(9092Kb)  |  收藏  |  浏览/下载：19/2  |  提交时间：2024/06/12
passive microwave remote sensing  polarization detection  radio frequency interference  L-band microwave radiometer  Stokes parameter  localization  
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  
Indian Ocean Basin Warming in 2020 Forced by Thermocline Anomalies of the 2019 Indian Ocean Dipole 期刊论文
JOURNAL OF CLIMATE, 2024, 卷号: 37, 期号: 1, 页码: 145-163
作者:  Wang, Jing;  Zhang, Shouwen;  Jiang, Hua;  Yuan, Dongliang
收藏  |  浏览/下载：9/0  |  提交时间：2024/04/07
Indian Ocean  Oceanic waves  ENSO  Seasonal forecasting  Data assimilation  Tropical variability  
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：33/0  |  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：29/0  |  提交时间：2024/04/07
ENSO  spring predictability barrier  sea surface salinity  optimal initial structure  
Propagation Features of Diurnal Internal Tides West of the Luzon Strait Revealed by a Large PIES Array 期刊论文
JOURNAL OF PHYSICAL OCEANOGRAPHY, 2023, 卷号: 53, 期号: 12, 页码: 2823-2846
作者:  Wang, Min;  Zhu, Xiao-Hua;  Zheng, Hua;  Chen, Juntian;  Zhao, Ruixiang;  Liu, Zhao-Jun;  Ren, Qiang;  Liu, Yansong;  Nan, Feng;  Yu, Fei;  Wang, Jianfeng;  Li, Qiang
Adobe PDF(16825Kb)  |  收藏  |  浏览/下载：23/0  |  提交时间：2024/04/07
Ocean  Internal waves  In situ oceanic observations  Seasonal variability  
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：23/0  |  提交时间：2024/04/07
Ensemble machine learning model  Satellite observations  Ocean subsurface thermal structure  Pacific ocean  
Estimation of the barrier layer thickness in the Indian Ocean based on hybrid neural network model 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 202, 页码: 14
作者:  Zhao, Yizhi;  Qi, Jifeng;  Zhu, Shanliang;  Jia, Wentao;  Gong, Xiang;  Yin, Wenming;  Yin, Baoshu
Adobe PDF(7659Kb)  |  收藏  |  浏览/下载：20/0  |  提交时间：2024/04/07
Barrier layer thickness  Particle swarm optimization  Artificial neural networks  Hybrid models