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Nonlocal Population Sources Triggering Dinoflagellate Blooms in the Changjiang Estuary and Adjacent Seas: A Modeling Study 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2021, 卷号: 126, 期号: 11, 页码: 19
作者:  Xu, Lingjing;  Yang, Dezhou;  Yu, Rencheng;  Feng, Xingru;  Gao, Guandong;  Cui, Xuan;  Bai, Tao;  Yin, Baoshu
Adobe PDF(8353Kb)  |  收藏  |  浏览/下载：226/0  |  提交时间：2022/01/05
dinoflagellate  Changjiang Estuary and adjacent seas  nonlocal population source  adjoint model  coupled physical-biological model  
Indian Ocean warming as a potential trigger for super phytoplankton blooms in the eastern equatorial Pacific from El Nino to La Nina transitions 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2021, 卷号: 16, 期号: 5, 页码: 11
作者:  Tian, Feng;  Zhang, Rong-Hua;  Wang, Xiujun
Adobe PDF(2045Kb)  |  收藏  |  浏览/下载：281/0  |  提交时间：2021/06/04
El Niñ  o–  Southern Oscillation  phytoplankton blooms  Indian Ocean warming  ocean chlorophyll  
Coupling ocean-atmosphere intensity determines ocean chlorophyll-induced SST change in the tropical Pacific 期刊论文
CLIMATE DYNAMICS, 2021, 页码: 21
作者:  Tian, Feng;  Zhang, Rong-Hua;  Wang, Xiujun
Adobe PDF(3219Kb)  |  收藏  |  浏览/下载：287/0  |  提交时间：2021/04/14
A three-dimensional gravest empirical mode determined from hydrographic observations in the western equatorial Pacific Ocean 期刊论文
JOURNAL OF MARINE SYSTEMS, 2021, 卷号: 214, 页码: 19
作者:  Liu, Hengchang;  Zhou, Hui;  Yang, Wenlong;  Liu, Xueqi;  Li, Yao;  Yang, Ya;  Chen, Xu;  Li, Xiaofeng
Adobe PDF(23320Kb)  |  收藏  |  浏览/下载：301/0  |  提交时间：2021/04/21
Nascent NECC  Volume transport  PIES  Non-stationary gravest empirical mode  El Nino  
New Insight Into the Onshore Intrusion of the Kuroshio Into the East China Sea 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2021, 卷号: 126, 期号: 2, 页码: 19
作者:  Cui, Xuan;  Yang, Dezhou;  Sun, Chaojiao;  Feng, Xingru;  Gao, Guandong;  Xu, Lingjing;  Yin, Baoshu
Adobe PDF(3925Kb)  |  收藏  |  浏览/下载：280/0  |  提交时间：2021/04/21
East China Sea  Kuroshio Branch Current  Kuroshio intrusion  reduced‐  gravity model  
A Machine-Learning Model for Forecasting Internal Wave Propagation in the Andaman Sea 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 3095-3106
作者:  Zhang, Xudong;  Li, Xiaofeng;  Zheng, Quanan
Adobe PDF(6735Kb)  |  收藏  |  浏览/下载：345/0  |  提交时间：2021/05/11
Predictive models  Training  Satellites  Machine learning  Oceans  MODIS  Data models  Andaman sea  internal wave (IW) forecast  machine learning