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Intraseasonal Variability of Full-Depth Currents in the Philippine Sea 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2024, 卷号: 129, 期号: 5, 页码: 17
作者:  Yuan, Xin;  Wang, Qingye;  Hu, Dunxin;  Feng, Junqiao;  Wang, Fujun;  Tian, Zhizhao
收藏  |  浏览/下载：10/0  |  提交时间：2024/08/29
intraseasonal variability (ISV)  deep ocean  in situ measurements  Rossby normal mode  El Ni & ntilde  Philippine Sea  o  
Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657
作者:  Zhou, Yuan;  Ren, Tian;  Chen, Keran;  Gao, Le;  Li, Xiaofeng
收藏  |  浏览/下载：37/0  |  提交时间：2024/06/04
Forecasting  Predictive models  Atmospheric waves  Spatiotemporal phenomena  Sea surface  Ocean waves  Data models  Sea-surface height anomaly (SSHA)  deep learning (DL)  spatiotemporal prediction  Rossby waves  
Phytoplankton carbon biomass: Insights from the eastern Indian Ocean 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 202, 页码: 13
作者:  Guo, Shujin;  Wang, Feng;  Liang, Junhua;  Zhang, Kangning;  Sun, Xiaoxia
Adobe PDF(8325Kb)  |  收藏  |  浏览/下载：119/0  |  提交时间：2024/04/07
Phytoplankton carbon  Physic-chemical parameters  Picophytoplankton  Utermo center dot hl phytoplankton  Chl a ratio  Deep chlorophyll maximum  Eastern Indian Ocean  
Adaptive mechanisms of the deep-sea coral Polymyces wellsi (Flabellidae, Scleractinia) illuminate strategies for global climate change 期刊论文
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 12
作者:  Li, Junyuan;  Zhou, Tong;  Li, Yang;  Xu, Kuidong
Adobe PDF(7240Kb)  |  收藏  |  浏览/下载：192/0  |  提交时间：2023/12/13
Coral  Biomineralization  Ocean acidification  Hypoxia  Adaptation  Deep sea  
Global estimation of phytoplankton pigment concentrations from satellite data using a deep-learning-based model 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 294, 页码: 16
作者:  Li, Xiaolong;  Yang, Yi;  Ishizaka, Joji;  Li, Xiaofeng
收藏  |  浏览/下载：131/0  |  提交时间：2023/12/13
Phytoplankton pigments  Remote sensing  Deep learning  Satellite  Global Ocean  Phytoplankton community  El Nino  
Estimation of nitrate concentration and its distribution in the northwestern Pacific Ocean by a deep neural network model 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 195, 页码: 11
作者:  Wang, Lixin;  Xu, Zhenhua;  Gong, Xiang;  Zhang, Peiwen;  Hao, Zhanjiu;  You, Jia;  Zhao, Xianzhi;  Guo, Xinyu
收藏  |  浏览/下载：161/0  |  提交时间：2023/12/13
Nitrate  Spatial distribution  Deep neural network  Northwestern pacific ocean  
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:  Ren, Yibin;  Li, Xiaofeng
收藏  |  浏览/下载：54/0  |  提交时间：2023/12/13
Predictive models  Atmospheric modeling  Sea ice  Numerical models  Arctic  Ocean temperature  Data models  Deep learning  Pan-Arctic  physically constrained loss function  sea ice concentration (SIC) prediction  subseasonal scale  
Indian Ocean sedimentary calcium carbonate distribution and its implications for the glacial deep ocean circulation 期刊论文
QUATERNARY SCIENCE REVIEWS, 2022, 卷号: 284, 页码: 11
作者:  Zhang, Handan;  Luo, Yiming;  Yu, Jimin;  Zhang, Lanlan;  Xiang, Rong;  Yu, Zhaojie;  Huang, Huang
Adobe PDF(3774Kb)  |  收藏  |  浏览/下载：237/0  |  提交时间：2022/07/18
The Indian Ocean  Carbonate system  Deep ventilation  Carbonate accumulation  The last glacial maximum  
A Deep Learning Model for Green Algae Detection on SAR Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:  Guo, Yuan;  Gao, Le;  Li, Xiaofeng
收藏  |  浏览/下载：225/0  |  提交时间：2023/01/04
Green products  Algae  Radar polarimetry  Tides  Ocean temperature  Feature extraction  Sea surface  Deep learning (DL)  green algae  Sentinel-1 synthetic aperture radar (SAR) image  Yellow Sea  
Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Wang, Chong;  Zheng, Gang;  Li, Xiaofeng;  Xu, Qing;  Liu, Bin;  Zhang, Jun
Adobe PDF(4821Kb)  |  收藏  |  浏览/下载：294/0  |  提交时间：2022/02/18
Estimation  Ocean temperature  Clouds  Tropical cyclones  Cyclones  Training  Geostationary satellites  Convolutional neural network (CNN)  deep learning  remote sensing  tropical cyclone (TC)