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A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 19
作者:  Ren, Yibin;  Li, Xiaofeng;  Zhang, Wenhao
Adobe PDF(22032Kb)  |  收藏  |  浏览/下载：162/0  |  提交时间：2022/07/18
Deep fully convolutional networks (FCNs)  recursively predicting  satellite-derived sea ice concentration (SIC)  SIC prediction  temporal-spatial attention  
Monitoring the Performance of HY-2B and Jason-2/3 Sea Surface Height via the China Altimetry Calibration Cooperation Plan 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:  Yang, Lei;  Xu, Yongsheng;  Lin, Mingsen;  Ma, Chaofei;  Mertikas, Stelios P.;  Hu, Wei;  Wang, Zhiyong;  Mu, Bo;  Zhou, Xinghua
Adobe PDF(3083Kb)  |  收藏  |  浏览/下载：291/0  |  提交时间：2022/07/18
Calibration  Satellites  Altimetry  Tides  Global navigation satellite system  Monitoring  Meteorology  Calibration and validation (Cal  Val)  Global Navigation Satellite System (GNSS)  HY-2B  Jason  satellite radar altimeter  sea level  tide gauge  
Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhang, Guosheng;  Xu, Chao;  Li, Xiaofeng;  Zhu, Ziqiang;  Perrie, William
Adobe PDF(15629Kb)  |  收藏  |  浏览/下载：213/0  |  提交时间：2022/04/12
Sea surface  Wind speed  Sea measurements  Microwave radiometry  Hurricanes  Oceans  Synthetic aperture radar  Hurricane center detection  hurricane intensity  radius of maximum wind (RMW)  Soil Moisture Active Passive (SMAP) ocean winds  
Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Wang, Chong;  Zheng, Gang;  Li, Xiaofeng;  Xu, Qing;  Liu, Bin;  Zhang, Jun
Adobe PDF(4821Kb)  |  收藏  |  浏览/下载：235/0  |  提交时间：2022/02/18
Estimation  Ocean temperature  Clouds  Tropical cyclones  Cyclones  Training  Geostationary satellites  Convolutional neural network (CNN)  deep learning  remote sensing  tropical cyclone (TC)