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Variation of Yellow River Runoff and Its Influence on Salinity in Laizhou Bay 期刊论文
JOURNAL OF OCEAN UNIVERSITY OF CHINA, 2020, 卷号: 19, 期号: 6, 页码: 1235-1244
作者:  Shi, Hongyuan;  Li, Qingjie;  Sun, Jiacheng;  Gao, Guandong;  Sui, Yi;  Qiao, Shouwen;  You, Zaijin
Adobe PDF(1114Kb)  |  收藏  |  浏览/下载：181/0  |  提交时间：2021/04/12
Yellow River  runoff  salinity  FVCOM  Laizhou Bay  
Traces of the 1997 Indonesian Wildfires in the Marine Environment From a Network of Coral delta C-13 Records 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 卷号: 47, 期号: 22, 页码: 10
作者:  Li, Xiaohua;  Wang, Xiaowei;  Liu, Chuanyu;  Liu, Yi;  Yu, Kefu;  Sun, Weidong
Adobe PDF(2232Kb)  |  收藏  |  浏览/下载：244/0  |  提交时间：2021/04/12
Anthropogenic Influences on 2019 July Precipitation Extremes Over the Mid-Lower Reaches of the Yangtze River 期刊论文
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2020, 卷号: 8, 页码: 6
作者:  Nanding, Nergui;  Chen, Yang;  Wu, Huan;  Dong, Buwen;  Tian, Fangxing;  Lott, Fraser C.;  Tett, Simon F. B.;  Rico-Ramirez, Miguel Angel;  Chen, Yiheng;  Huang, Zhijun;  Yan, Yan;  Li, Delei;  Li, Rouke;  Wang, Xuan;  Fan, Xuewei
Adobe PDF(1500Kb)  |  收藏  |  浏览/下载：215/0  |  提交时间：2021/04/12
precipitation extreme events  climate change  Yangtze (Changjiang) catchment  attribution studies  anthropogenic influence  
Effect of landfall location and coastal topography on surge response in the Northern Bay of Bengal 期刊论文
REGIONAL STUDIES IN MARINE SCIENCE, 2020, 卷号: 40, 页码: 12
作者:  Wan, Weiqi;  Feng, Xingru;  Liu, Qiuxing;  Yang, Dezhou;  Yin, Baoshu;  Gao, Guandong;  Liu, Qingrong;  Chen, Haiying
Adobe PDF(4218Kb)  |  收藏  |  浏览/下载：237/0  |  提交时间：2021/04/21
Storm surge response  SCHISM  Bay of Bengal  Tide-surge interaction  Arrival time of peak surge  
Riverine and Oceanic Nutrients Govern Different Algal Bloom Domain Near the Changjiang Estuary in Summer 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2020, 卷号: 125, 期号: 10, 页码: 26
作者:  Xu, Lingjing;  Yang, Dezhou;  Greenwood, Jim;  Feng, Xingru;  Gao, Guandong;  Qi, Jifeng;  Cui, Xuan;  Yin, Baoshu
Adobe PDF(16762Kb)  |  收藏  |  浏览/下载：253/0  |  提交时间：2021/04/12
Changjiang Estuary  oceanic and riverine nutrients  physical‐  biological model  summer chlorophyll  
Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 12
作者:  Gao Yongli;  Mu Mu;  Zhang Kun
Adobe PDF(1297Kb)  |  收藏  |  浏览/下载：144/0  |  提交时间：2020/09/25
deep chlorophyll maximum (DCM) simulation  parameter uncertainty  conditional nonlinear optimal perturbation related to parameters (CNOP-P)  sensitivity  
Quantification of the impact of environmental factors on chlorophyll in the open ocean 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 11
作者:  Zhao Dandan;  Gao Le;  Xu Yongsheng
Adobe PDF(2689Kb)  |  收藏  |  浏览/下载：202/0  |  提交时间：2020/09/23
chlorophyll (CHL)  mixed layer depth  multiple linear regression  sea surface temperature  
Characteristics and maintenance mechanisms of the Cold Eddy to the Northeast of Diaoyu Island 期刊论文
REGIONAL STUDIES IN MARINE SCIENCE, 2020, 卷号: 36, 页码: 12
作者:  Zhang, Yansheng;  Yu, Fei;  Si, Guangcheng;  Wang, Jianfeng
Adobe PDF(6580Kb)  |  收藏  |  浏览/下载：153/0  |  提交时间：2020/09/29
Diaoyu Island  JEBAR  ROMS  
Observation system simulation experiments using an ensemble-based method in the northeastern South China Sea 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 17
作者:  Geng Wu;  Cheng Feng;  Xie Qiang;  Zou Xiaoli;  He Weihong;  Wang Zhaozheng;  Shu Yeqiang;  Chen Gengxin;  Liu Danian;  Ye Dong;  Wang Ruiwen;  Liu Chuanyu
Adobe PDF(9272Kb)  |  收藏  |  浏览/下载：358/0  |  提交时间：2020/03/20
assimilation  observation system simulation experiment (OSSE)  ensemble  South China Sea (SCS)  Kalman filter  
A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 59801-59820
作者:  Song, Dongmei;  Zhen, Zongjin;  Wang, Bin;  Li, Xiaofeng;  Gao, Le;  Wang, Ning;  Xie, Tao;  Zhang, Ting
Adobe PDF(5827Kb)  |  收藏  |  浏览/下载：221/0  |  提交时间：2020/09/23
Marine oil spill  RADARSAT-2  PolSAR  deep learning  feature extraction  convolutional neural network (CNN)