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Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations
期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2024, 页码: 13
作者:
Qi, Jifeng
;
Sun, Guimin
;
Xie, Bowen
;
Li, Delei
;
Yin, Baoshu
收藏
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浏览/下载:0/0
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提交时间:2024/04/07
machine learning
convolutional neural network (CNN)
ocean subsurface salinity structure (OSSS)
Indian Ocean
satellite observations
Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data
期刊论文
ATMOSPHERE, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:
Xie, Bowen
;
Qi, Jifeng
;
Yang, Shuguo
;
Sun, Guimin
;
Feng, Zhongkun
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/04/07
sea surface temperature
deep learning
3D U-Net model
marine heat waves
South China Sea
multi-source data
Estimating thermohaline structures in the tropical Indian Ocean from surface parameters using an improved CNN model
期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 16
作者:
Qi, Jifeng
;
Xie, Bowen
;
Li, Delei
;
Chi, Jianwei
;
Yin, Baoshu
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/13
ocean thermohaline structure
satellite observations
machine learning
CNN
tropical Indian 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:1/0
  |  
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
Wind-Driven Mechanisms for the Variations of the Pacific Equatorial Undercurrent Based on Adjoint Sensitivity Analysis
期刊论文
FRONTIERS IN MARINE SCIENCE, 2022, 卷号: 9, 页码: 18
作者:
Wang, Jin
;
Liu, Chuanyu
;
Wang, Xiaowei
;
Koehl, Armin
;
Lyu, Yilong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/07/18
Equatorial Undercurrent
adjoint sensitivity analysis
equatorial Rossby wave
Kelvin wave
wind-driven
Multilayer Fusion Recurrent Neural Network for Sea Surface Height Anomaly Field Prediction
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:
Zhou, Yuan
;
Lu, Chang
;
Chen, Keran
;
Li, Xiaofeng
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浏览/下载:15/0
  |  
提交时间:2022/04/12
Computer architecture
Microprocessors
Predictive models
Mathematical models
Sea surface
Data models
Satellites
Deep learning (DL)
field prediction
satellite remote sensing data
sea surface height anomaly (SSHA)
西北太平洋热带气旋生成客观预测模型
期刊论文
应用气象学报, 2022, 卷号: 33, 期号: 5, 页码: 594-603
作者:
郑倩
;
高猛
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浏览/下载:0/0
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提交时间:2024/01/26
随机森林回归模型
局部泊松回归模型
热带气旋
频次
生成位置
Influences of Summertime Arctic Dipole Atmospheric Circulation on Sea Ice Concentration Variations in the Pacific Sector of the Arctic during Different Pacific Decadal Oscillation Phases
期刊论文
JOURNAL OF CLIMATE, 2021, 卷号: 34, 期号: 8, 页码: 3003-3019
作者:
Bi, Haibo
;
Wang, Yunhe
;
Liang, Yu
;
Sun, Weifu
;
Liang, Xi
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/06/24
Arctic
Sea ice
Atmosphere-ocean interaction
Atmospheric circulation
Satellite observations
Intraseasonal variability of the Kuroshio east of Taiwan, China, observed by subsurface mooring during 2016-2017
期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 卷号: 38, 期号: 5, 页码: 1408-1420
作者:
Ren Qiang
;
Yu Fei
;
Nan Feng
;
Wang Jianfeng
;
Xu Anqi
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/04/12
intraseasonal variability
Kuroshio
mesoscale eddy
intermediate water
Characterization of Sea Surface Temperature and Air-Sea Heat Flux Anomalies Associated With Mesoscale Eddies in the South China Sea
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 卷号: 125, 期号: 4, 页码: 19
作者:
Liu, Yingjie
;
Yu, Lisan
;
Chen, Ge
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  |  
浏览/下载:8/0
  |  
提交时间:2020/09/25
mesoscale eddies
air-sea coupling
South China Sea
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