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Attributing interdecadal variations of southern tropical Indian Ocean dipole mode to rhythms of Bjerknes feedback intensity
期刊论文
CLIMATE DYNAMICS, 2024, 页码: 17
作者:
Zhang, Guangli
;
Wang, Xin
;
Xie, Qiang
;
Huang, Bohua
;
Chen, Jiepeng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/03/04
Southern tropical Indian Ocean dipole mode
Interdecadal changes
Bjerknes feedback
Climatological mean state
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
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/04/07
Ensemble machine learning model
Satellite observations
Ocean subsurface thermal structure
Pacific ocean
Solar cycle prediction using a combinatorial deep learning model
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 卷号: 527, 期号: 3, 页码: 5675-5682
作者:
Su, Xu
;
Liang, Bo
;
Feng, Song
;
Cai YF(蔡云芳)
;
Dai, Wei
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/29
methods: data analysis
Sun: activity
Meta-learning-based estimation of the barrier layer thickness in the tropical Indian Ocean
期刊论文
ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2023, 卷号: 5, 期号: 9, 页码: 8
作者:
Qi, Jifeng
;
Qu, Tangdong
;
Yin, Baoshu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/30
Ocean barrier layer thickness
Indian Ocean
meta-learning
machine learning
Anthropogenic impacts on twentieth-century ENSO variability changes
期刊论文
NATURE REVIEWS EARTH & ENVIRONMENT, 2023, 页码: 12
作者:
Cai, Wenju
;
Ng, Benjamin
;
Geng, Tao
;
Jia, Fan
;
Wu, Lixin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/12/13
A multi-model prediction system for ENSO
期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2023, 页码: 10
作者:
Liu, Ting
;
Gao, Yanqiu
;
Song, Xunshu
;
Gao, Chuan
;
Tao, Lingjiang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/12/13
MME
ENSO
Prediction
A self-attention-based neural network for three-dimensional multivariate modeling and its skillful ENSO predictions
期刊论文
SCIENCE ADVANCES, 2023, 卷号: 9, 期号: 10, 页码: 1
作者:
Zhou, Lu
;
Zhang, Rong-Hua
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浏览/下载:0/0
  |  
提交时间:2023/12/13
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
Data assimilation in a regional high-resolution ocean model by using Ensemble Adjustment Kalman Filter and its application during 2020 cold spell event over Asia-Pacific region
期刊论文
APPLIED OCEAN RESEARCH, 2022, 卷号: 129, 页码: 17
作者:
Xu, Minjie
;
Wang, Yuzhe
;
Zhang, Jicai
;
Yang, Dezhou
;
Yin, Xunqiang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/01/04
Data assimilation
High-resolution ocean model
Ensemble adjustment kalman filter
Cold spell event
Ensemble Kalman method for learning turbulence models from indirect observation data
期刊论文
JOURNAL OF FLUID MECHANICS, 2022, 卷号: 949
作者:
Zhang XL(张鑫磊)
;
Xiao, Heng
;
Luo, Xiaodong
;
He GW(何国威)
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/10/23
turbulence modelling
machine learning
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