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基于深度学习和SAR遥感影像的北极波弗特海海冰分类研究 学位论文
, 中国科学院海洋研究所: 中国科学院大学, 2023
作者:  黄岩
Adobe PDF(6133Kb)  |  收藏  |  浏览/下载：104/3  |  提交时间：2023/06/18
合成孔径雷达（SAR）图像，海冰分类，深度学习，灰度共生矩阵  
Surface chlorophyll anomalies induced by mesoscale eddy-wind interactions in the northern Norwegian Sea 期刊论文
FRONTIERS IN MARINE SCIENCE, 2022, 卷号: 9, 页码: 14
作者:  Dong, Huizi;  Zhou, Meng;  Raj, Roshin P.;  Smith Jr, Walker O.;  Basedow, Suennje L.;  Ji, Rubao;  Ashjian, Carin;  Zhang, Zhaoru;  Hu, Ziyuan
Adobe PDF(15758Kb)  |  收藏  |  浏览/下载：157/0  |  提交时间：2023/01/04
mesoscale eddy  eddy-induced Ekman pumping  surface chlorophyll anomaly  mixed layer depth  composite average analysis  
Reduction of Equatorial Obduction by Atmospheric Intraseasonal Oscillations in the Western and Central Pacific Ocean 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2022, 卷号: 127, 期号: 5, 页码: 19
作者:  Liu, Lingling;  Li, Yuanlong;  Wang, Fan
Adobe PDF(6691Kb)  |  收藏  |  浏览/下载：133/0  |  提交时间：2022/07/18
atmospheric intraseasonal oscillation  obduction  western and central equatorial Pacific Ocean  mixed layer depth  intraseasonal variability  
Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:  Zhou, Lizhang;  Zheng, Gang;  Yang, Jingsong;  Li, Xiaofeng;  Zhang, Bin;  Wang, He;  Chen, Peng;  Wang, Yan
Adobe PDF(27025Kb)  |  收藏  |  浏览/下载：205/0  |  提交时间：2022/02/18
Radar polarimetry  Sea surface  Oceanography  Atmospheric modeling  Surface waves  Atmospheric waves  Wind speed  Entropy  gray-level cooccurrence matrix (GLCM)  synthetic aperture radar (SAR)  sea surface wind speed (SSWS)  textures  
The Fusion of Physical, Textural, and Morphological Information in SAR Imagery for Hurricane Wind Speed Retrieval Based on Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:  Mu, Shanshan;  Li, Xiaofeng;  Wang, Haoyu
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：196/0  |  提交时间：2022/07/18
Hurricanes  Synthetic aperture radar  Wind speed  Radar polarimetry  Sea surface  Sea measurements  Data models  Deep learning  hurricane wind  synthetic aperture radar (SAR)  
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：240/0  |  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：169/0  |  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  
An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations 期刊论文
CLIMATE DYNAMICS, 2021, 页码: 16
作者:  Zhu, Yuchao;  Zhang, Rong-Hua;  Li, Delei
Adobe PDF(7031Kb)  |  收藏  |  浏览/下载：174/0  |  提交时间：2021/11/30
Model errors  Subsurface temperature bias  CMIP  OMIP simulations  Vertical mixing scheme  Wind forcing errors  
Estimation of Significant Wave Heights from ASCAT Scatterometer Data via Deep Learning Network 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 18
作者:  Wang, He;  Yang, Jingsong;  Zhu, Jianhua;  Ren, Lin;  Liu, Yahao;  Li, Weiwei;  Chen, Chuntao
Adobe PDF(5257Kb)  |  收藏  |  浏览/下载：205/1  |  提交时间：2021/04/21
Advanced Scatterometer (ASCAT)  significant wave height  WaveWatch III  deep learning  multi-hidden-layer neural network  
SAR 对台风海浪场特征及高度计去混叠研究 学位论文
理学博士, 中国科学院海洋研究所: 中国科学院大学, 2020
作者:  胡登辉
Adobe PDF(24144Kb)  |  收藏  |  浏览/下载：391/0  |  提交时间：2020/12/02
Sar 波模式  台风  台风涌浪追踪  非对称  海浪模型  高度计混叠