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A Mechanism for the Generation of a Warm SST Anomaly in the Western Equatorial Pacific: A Pathway Perspective 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2023, 卷号: 128, 期号: 11, 页码: 22
作者:  Gao, Chuan;  Zhang, Rong-Hua
Adobe PDF(2680Kb)  |  收藏  |  浏览/下载：37/0  |  提交时间：2024/04/07
El Nino onset  NECC pathways  SST anomaly generation  wind response  ocean modeling  
A Transformer-Based Deep Learning Model for Successful Predictions of the 2021 Second-Year La Nina Condition 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 12, 页码: 10
作者:  Gao, Chuan;  Zhou, Lu;  Zhang, Rong-Hua
收藏  |  浏览/下载：169/0  |  提交时间：2023/11/30
the 2021 second-year cooling condition  a transformer-based deep learning model  3D multivariate prediction  subsurface thermal effect  comparison with dynamical models  
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
收藏  |  浏览/下载：23/0  |  提交时间：2023/12/13
A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 页码: 14
作者:  Zhou, Lu;  Zhang, Rong-Hua
Adobe PDF(2978Kb)  |  收藏  |  浏览/下载：178/0  |  提交时间：2022/04/12
ENSO prediction  the principal oscillation pattern (POP) analyses  neural network  a hybrid approach  
Purely satellite data-driven deep learning forecast of complicated tropical instability waves 期刊论文
SCIENCE ADVANCES, 2020, 卷号: 6, 期号: 29, 页码: 9
作者:  Zheng, Gang;  Li, Xiaofeng;  Zhang, Rong-Hua;  Liu, Bin
Adobe PDF(7758Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2020/09/25
Estimating Convection Parameters in the GFDL CM2.1 Model Using Ensemble Data Assimilation 期刊论文
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2018, 卷号: 10, 期号: 4, 页码: 989-1010
作者:  Li, Shan;  Zhang, Shaoqing;  Liu, Zhengyu;  Lu, Lv;  Zhu, Jiang;  Zhang, Xuefeng;  Wu, Xinrong;  Zhao, Ming;  Vecchi, Gabriel A.;  Zhang, Rong-Hua;  Lin, Xiaopei
Adobe PDF(3658Kb)  |  收藏  |  浏览/下载：433/0  |  提交时间：2018/10/29
parameter estimation  data assimilation  coupled climate model  convection