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Advancing ocean subsurface thermal structure estimation in the Pacific Ocean: A multi-model ensemble machine learning approach 期刊论文
DYNAMICS OF ATMOSPHERES AND OCEANS, 2023, 卷号: 104, 页码: 16
作者:  Qi, Jifeng;  Zhang, Linlin;  Yin, Baoshu;  Li, Delei;  Xie, Bowen;  Sun, Guimin
Adobe PDF(13138Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/07
Ensemble machine learning model  Satellite observations  Ocean subsurface thermal structure  Pacific ocean  
Modeling the long-term transport and fate of oil spilled from the 2021 A Symphony tanker collision in the Yellow Sea, China: Reliability of the stochastic simulation 期刊论文
OCEAN MODELLING, 2023, 卷号: 186, 页码: 14
作者:  Cao, Ruichen;  Rong, Zengrui;  Chen, Haibo;  Liu, Yi;  Mu, Lin;  Lv, Xianqing
Adobe PDF(10180Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/07
A Symphony oil spill  Pollution probability  Stochastic simulation  Uncertainty analysis  
Estimation of the barrier layer thickness in the Indian Ocean based on hybrid neural network model 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 202, 页码: 14
作者:  Zhao, Yizhi;  Qi, Jifeng;  Zhu, Shanliang;  Jia, Wentao;  Gong, Xiang;  Yin, Wenming;  Yin, Baoshu
Adobe PDF(7659Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/07
Barrier layer thickness  Particle swarm optimization  Artificial neural networks  Hybrid models  
Shipboard Observations of Aerosol Chemical Properties Over the Western Pacific Ocean in Winter 2018 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2023, 卷号: 128, 期号: 22, 页码: 19
作者:  Ma, Yining;  Ma, Yongjing;  Zhang, Xiangguang;  Wu, Fangkun;  Liu, Quan;  Wu, Xiaoyan;  Lyu, Yilong;  Jiang, Jiawei;  Zhao, Dandan;  Ren, Xinbing;  Li, Zhi;  Jia, Xin;  Li, Mengchao;  Yao, Jingyu;  Gao, Zhongming;  Hai, Shangfei;  Xin, Jinyuan
Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/07
shipboard observations  aerosol chemical properties  western Pacific Ocean  anthropogenic sources  dust aerosols  chlorine budgets  
Impact of surface and subsurface-intensified eddies on sea surface temperature and chlorophyll a in the northern Indian Ocean utilizing deep learning 期刊论文
OCEAN SCIENCE, 2023, 卷号: 19, 期号: 6, 页码: 1579-1593
作者:  Liu, Yingjie;  Li, Xiaofeng
Adobe PDF(14453Kb)  |  收藏  |  浏览/下载：6/0  |  提交时间：2024/04/07
北冰洋近惯性运动的时空特征研究 学位论文
理学硕士, 中国科学院海洋研究所: 中国科学院大学, 2023
作者:  员丹琪
Adobe PDF(4830Kb)  |  收藏  |  浏览/下载：150/1  |  提交时间：2023/06/19
北冰洋，海冰，惯性振荡，近惯性内波  
Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 272, 页码: 15
作者:  Zhang, Xudong;  Wang, Haoyu;  Wang, Shuo;  Liu, Yanliang;  Yu, Weidong;  Wang, Jing;  Xu, Qing;  Li, Xiaofeng
Adobe PDF(12620Kb)  |  收藏  |  浏览/下载：226/0  |  提交时间：2022/04/12
Internal wave  Amplitude  Transfer learning  Remote sensing  In-situ measurement  Laboratory experiment  
Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 2, 页码: 23
作者:  Li, Jian;  Mo, Dongxue;  Li, Rui;  Hou, Yijun;  Liu, Qingrong
Adobe PDF(4981Kb)  |  收藏  |  浏览/下载：218/0  |  提交时间：2022/04/12
risk assessment  storm surge  affected infrastructure  emergency response and recovery capability  Lekima  
Automatic Waterline Extraction and Topographic Mapping of Tidal Flats From SAR Images Based on Deep Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2022, 卷号: 49, 期号: 2, 页码: 13
作者:  Zhang, Shuangshang;  Xu, Qing;  Wang, Haoyu;  Kang, Yanyan;  Li, Xiaofeng
Adobe PDF(5243Kb)  |  收藏  |  浏览/下载：166/0  |  提交时间：2022/04/12
synthetic aperture radar  tidal flat  deep learning  waterline  DEM  
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：207/0  |  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)