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Interannual to Interdecadal Variability of the Southern Yellow Sea Cold Water Mass and Establishment of "Forcing Mechanism Bridge" 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 卷号: 9, 期号: 12, 页码: 20
作者:  Guo, Yunxia;  Mo, Dongxue;  Hou, Yijun
Adobe PDF(6827Kb)  |  收藏  |  浏览/下载：168/0  |  提交时间：2022/02/18
Southern Yellow Sea cold water mass  low-frequency variability  forcing factors  bridge  
Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2021, 卷号: 48, 期号: 17, 页码: 11
作者:  Liu, Yingjie;  Zheng, Quanan;  Li, Xiaofeng
Adobe PDF(1562Kb)  |  收藏  |  浏览/下载：188/0  |  提交时间：2021/11/30
meososcale eddies  abnormal eddies  multi-source remote sensing data  deep learning  data fusion  statistical analysis of spatiotemporal characteristics  
Inversion of Initial Field Based on a Temperature Transport Adjoint 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 卷号: 9, 期号: 7, 页码: 14
作者:  Jiao, Shengyi;  Huang, Shengmao;  Wang, Jianfeng;  Lv, Xianqing
Adobe PDF(5928Kb)  |  收藏  |  浏览/下载：235/0  |  提交时间：2021/08/17
initial field  sea water temperature  The South China Sea  adjoint assimilation  sea surface temperature  vertical temperature observation  
Energy Sources Generation and Energy Cascades along the Kuroshio East of Taiwan Island and the East China Sea 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 卷号: 9, 期号: 7, 页码: 24
作者:  Wang, Ru;  Hou, Yijun;  Liu, Ze
Adobe PDF(5094Kb)  |  收藏  |  浏览/下载：237/0  |  提交时间：2021/08/17
energy source  inverse energy cascade  wind stress  density differences  energy flux  
Spatiotemporal Variability of Mesoscale Eddies in the Indonesian Seas 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 5, 页码: 27
作者:  Hao, Zhanjiu;  Xu, Zhenhua;  Feng, Ming;  Li, Qun;  Yin, Baoshu
Adobe PDF(17830Kb)  |  收藏  |  浏览/下载：233/0  |  提交时间：2021/04/21
mesoscale eddies  the Indonesian Seas  sea level anomaly  nonlinearity  barotropic instability  baroclinic instability  
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：250/1  |  提交时间：2021/04/21
Advanced Scatterometer (ASCAT)  significant wave height  WaveWatch III  deep learning  multi-hidden-layer neural network