中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
海洋研究所 [11]
国家空间科学中心 [7]
南海海洋研究所 [4]
烟台海岸带研究所 [4]
青藏高原研究所 [3]
地理科学与资源研究所 [3]
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OAI收割 [46]
iSwitch采集 [1]
内容类型
期刊论文 [39]
会议论文 [5]
CNKI期刊论文 [3]
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2025 [2]
2024 [2]
2023 [1]
2022 [2]
2021 [1]
2020 [3]
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学科主题
Astronomy ... [2]
Oceanograp... [2]
地理学::自然地理学 [2]
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Research on Wind Environment Characteristics of the QiTai Radio Telescope Site Based on Wind Tower Measurements
期刊论文
OAI收割
SENSORS, 2025, 卷号: 26, 期号: 1, 页码: 51
作者:
He, Feilong
;
Li, Laibing
;
Xu, Qian
;
Wang, Na
;
Zhang, Shijiao
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2026/03/17
radio telescope site
wind sensor
wind environment measurement
data processing
wind field characteristics
Daily Prediction of Sea Ice Drift at Kilometer-Scale Using Deep-Learning Method
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 25980-25992
作者:
Ren, Jialong
;
Qiu, Yujia
;
Li, Xiao-Ming
;
Li, Xiaofeng
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/12/09
Sea ice
Arctic
Spatial resolution
Synthetic aperture radar
Predictive models
Input variables
Vectors
Data models
Wind forecasting
Trajectory
deep learning
sea ice drift (SID) prediction
synthetic aperture radar (SAR)
A framework of data assimilation for wind flow fields by physics-informed neural networks
期刊论文
OAI收割
APPLIED ENERGY, 2024, 卷号: 371, 页码: 18
作者:
Yan C(闫畅)
;
Xu SF(许盛峰)
;
Sun ZX(孙振旭)
;
Lutz, Thorsten
;
Guo DL(郭迪龙)
  |  
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2024/11/22
Data assimilation
Wind field reconstruction
Physics-informed deep learning
The Mesoscale SST-Wind Coupling Characteristics in the Yellow Sea and East China Sea Based on Satellite Data and Their Feedback Effects on the Ocean
期刊论文
OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 卷号: 12, 期号: 10, 页码: 17
作者:
Cui, Chaoran
;
Xu, Lingjing
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2024/12/20
mesoscale wind-SST coupling
satellite data
Yellow and East China Seas
Tikhonov regularization method
eddy kinetic energy
Wind resource droughts in China
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2023, 卷号: 18, 期号: 9, 页码: 94015
作者:
Liu, Fa
;
Wang, Xunming
;
Sun, Fubao
;
Wang, Hong
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2023/09/07
wind energy
wind resource drought
observation data
China
Testing the Linearity of Vector Fields in Cold and Dense Space Plasmas
期刊论文
OAI收割
The Astrophysical Journal, 2022, 卷号: 929, 期号: 2
作者:
Liu,Y. Y.
;
Wang,Z.
;
Chen,G.
;
Yu,Y.
;
Guo,Z. Z.
  |  
收藏
  |  
浏览/下载:98/0
  |  
提交时间:2022/07/01
Space plasmas
Astronomy data analysis
Magnetohydrodynamics
Solar wind
The Fusion of Physical, Textural, and Morphological Information in SAR Imagery for Hurricane Wind Speed Retrieval Based on Deep Learning
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:
Mu, Shanshan
;
Li, Xiaofeng
;
Wang, Haoyu
  |  
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2022/07/18
Hurricanes
Synthetic aperture radar
Wind speed
Radar polarimetry
Sea surface
Sea measurements
Data models
Deep learning
hurricane wind
synthetic aperture radar (SAR)
The features and mechanisms of the North Shandong Coastal Current: a case study in 2014
期刊论文
OAI收割
JOURNAL OF OCEANOGRAPHY, 2021, 页码: 16
作者:
Zheng, Xiangyang
;
Zhang, Hua
;
Li, Yanfang
;
Zou, Tao
;
Liu, Xin
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/06/07
The North Shandong Coastal Current
North Yellow Sea
Observational current velocity data
Winter large wind events
Momentum analysis
Improving Princeton Forcing Dataset over Iran Using the Delta-Ratio Method
期刊论文
OAI收割
WATER, 2020, 卷号: 12, 期号: 3, 页码: 15
作者:
Zhang, Qinghuan
;
Tang, Qiuhong
;
Liu, Xingcai
;
Hosseini-Moghari, Seyed-Mohammad
;
Attarod, Pedram
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/03/23
Iran
meteorological forcing data
observed data
precipitation
wind speed
Improving Princeton Forcing Dataset over Iran Using the Delta-Ratio Method
期刊论文
OAI收割
WATER, 2020, 卷号: 12, 期号: 3, 页码: 15
作者:
Zhang, Qinghuan
;
Tang, Qiuhong
;
Liu, Xingcai
;
Hosseini-Moghari, Seyed-Mohammad
;
Attarod, Pedram
  |  
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2021/03/23
Iran
meteorological forcing data
observed data
precipitation
wind speed