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Frequent marine heatwaves hidden below the surface of the global ocean 期刊论文
NATURE GEOSCIENCE, 2023, 页码: 8
作者:  Sun, Di;  Li, Furong;  Jing, Zhao;  Hu, Shijian;  Zhang, Bohai
Adobe PDF(2299Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/07
Nanophytoplankton and microphytoplankton in the western tropical Pacific Ocean: its community structure, cell size and carbon biomass 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 14
作者:  Yan, Wenzhuo;  Chen, Zhuo;  Zhang, Linlin;  Wang, Feng;  Zhang, Guicheng;  Sun, Jun
收藏  |  浏览/下载：93/0  |  提交时间：2023/12/13
phytoplankton  species composition  carbon biomass  cell size  environmental factors  quantile regression  
The diel vertical distribution and carbon biomass of the zooplankton community in the Caroline Seamount area of the western tropical Pacific Ocean 期刊论文
SCIENTIFIC REPORTS, 2022, 卷号: 12, 期号: 1, 页码: 13
作者:  Tao, Zhencheng;  Xian, Haochen;  Luan, Zhendong;  Nan, Feng;  Wang, Yanqing;  Sun, Song
Adobe PDF(4905Kb)  |  收藏  |  浏览/下载：94/0  |  提交时间：2023/01/04
Picophytoplankton in the West Pacific Ocean: A Snapshot 期刊论文
FRONTIERS IN MICROBIOLOGY, 2022, 卷号: 13, 页码: 13
作者:  Wang, Feng;  Wei, Yuqiu;  Zhang, Guicheng;  Zhang, Linlin;  Sun, Jun
Adobe PDF(4938Kb)  |  收藏  |  浏览/下载：136/0  |  提交时间：2022/07/18
picophytoplankton  carbon-to-Chlorophyll a  environmental factors  Western Pacific Ocean  abundance  
A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:  Ren, Yibin;  Li, Xiaofeng;  Xu, Huan
Adobe PDF(12529Kb)  |  收藏  |  浏览/下载：136/0  |  提交时间：2022/02/18
Marine vehicles  Radar polarimetry  Feature extraction  Synthetic aperture radar  Data mining  Radar imaging  Oceans  Custom loss function  deep learning (DL)  deep neural network (DNN) regression  ship size extraction  synthetic aperture radar (SAR) image  
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：139/0  |  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  
Viral Characteristics of the Warm Atlantic and Cold Arctic Water Masses in the Nordic Seas 期刊论文
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2021, 卷号: 87, 期号: 22, 页码: 18
作者:  Gao, Chen;  Xia, Jun;  Zhou, Xinhao;  Liang, Yantao;  Jiang, Yong;  Wang, Meiwen;  Shao, Hongbing;  Shi, Xiaochong;  Guo, Cui;  He, Hui;  Wang, Hualong;  He, Jianfeng;  Hu, Denghui;  Wang, Xiaoyu;  Zhao, Jinping;  Zhang, Yu-Zhong;  Sung, Yeong Yik;  Mok, Wen Jye;  Wong, Li Lian;  McMinn, Andrew;  Suttle, Curtis A.;  Wang, Min
Adobe PDF(4262Kb)  |  收藏  |  浏览/下载：206/0  |  提交时间：2022/01/05
DNA virome  Nordic Seas  microbial community  metagenomics  water masses and currents  
Assessing the Impact of Wave-Current Interactions on Storm Surges and Waves during Cold Air Outbreaks in the Northern East China Sea 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 卷号: 9, 期号: 8, 页码: 27
作者:  Mo, Dongxue;  Li, Jian;  Hou, Yijun
Adobe PDF(15746Kb)  |  收藏  |  浏览/下载：132/0  |  提交时间：2021/11/30
wave-current interaction  storm surge  cold air outbreak  COAWST  coastal region  
The Three-Dimensional Internal Tide Radiation and Dissipation in the Mariana Arc-Trench System 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2021, 卷号: 126, 期号: 5, 页码: 23
作者:  Zhao, Chen;  Xu, Zhenhua;  Robertson, Robin;  Li, Qun;  Wang, Yang;  Yin, Baoshu
Adobe PDF(4404Kb)  |  收藏  |  浏览/下载：173/0  |  提交时间：2021/12/07
Mariana Arc  Abyssal Ocean  internal tide  numerical  energy  
Seasonal Variability of Subthermocline Eddy Kinetic Energy East of the Philippines 期刊论文
JOURNAL OF PHYSICAL OCEANOGRAPHY, 2021, 卷号: 51, 期号: 3, 页码: 685-699
作者:  Zhang, Linlin;  Hui, Yuchao;  Qu, Tangdong;  Hu, Dunxin
Adobe PDF(3501Kb)  |  收藏  |  浏览/下载：235/0  |  提交时间：2021/06/24
Pacific Ocean  Boundary currents  Mesoscale processes  Eddies  Seasonal variability