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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：124/0  |  提交时间：2022/04/12
ENSO prediction  the principal oscillation pattern (POP) analyses  neural network  a hybrid approach  
Upper Ocean Temperatures Hit Record High in 2020 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 页码: 8
作者:  Cheng, Lijing;  Abraham, John;  Trenberth, Kevin E.;  Fasullo, John;  Boyer, Tim;  Locarnini, Ricardo;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou;  Liu, Yulong;  Mann, Michael E.;  Reseghetti, Franco;  Simoncelli, Simona;  Gouretski, Viktor;  Chen, Gengxin;  Mishonov, Alexey;  Reagan, Jim;  Zhu, Jiang
Adobe PDF(2104Kb)  |  收藏  |  浏览/下载：206/0  |  提交时间：2021/04/21
Record-Setting Ocean Warmth Continued in 2019 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2020, 卷号: 37, 期号: 2, 页码: 137-142
作者:  Cheng, Lijing;  Abraham, John;  Zhu, Jiang;  Trenberth, Kevin E.;  Fasullo, John;  Boyer, Tim;  Locarnini, Ricardo;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou;  Liu, Yulong;  Mann, Michael E.
Adobe PDF(3093Kb)  |  收藏  |  浏览/下载：172/0  |  提交时间：2020/09/22
The Optimal Precursors for ENSO Events Depicted Using the Gradient-definition-based Method in an Intermediate Coupled Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 12, 页码: 1381-1392
作者:  Mu, Bin;  Ren, Juhui;  Yuan, Shijin;  Zhang, Rong-Hua;  Chen, Lei;  Gao, Chuan
Adobe PDF(1429Kb)  |  收藏  |  浏览/下载：154/0  |  提交时间：2020/09/21
optimal precursor  ENSO  gradient-definition-based method  conditional nonlinear optimal perturbation  intermediate coupled model  
A Hybrid Coupled Ocean-Atmosphere Model and Its Simulation of ENSO and Atmospheric Responses 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 6, 页码: 643-657
作者:  Hu, Junya;  Zhang, Rong-Hua;  Gao, Chuan
Adobe PDF(7642Kb)  |  收藏  |  浏览/下载：283/0  |  提交时间：2019/08/28
IOCAS ICM  hybrid coupled model  ENSO simulation  atmospheric response  
2018 Continues Record Global Ocean Warming 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 3, 页码: 249-252
作者:  Cheng, Lijing;  Zhu, Jiang;  Abraham, John;  Trenberth, Kevin E.;  Fasullo, John T.;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou
Adobe PDF(1850Kb)  |  收藏  |  浏览/下载：244/0  |  提交时间：2019/08/27
ENSO Predictions in an Intermediate Coupled Model Influenced by Removing Initial Condition Errors in Sensitive Areas: A Target Observation Perspective 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 7, 页码: 853-867
作者:  Tao, Ling-Jiang;  Gao, Chuan;  Zhang, Rong-Hua
Adobe PDF(1354Kb)  |  收藏  |  浏览/下载：319/0  |  提交时间：2019/08/21
El Nino prediction  initial condition errors  target observations  
Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 4, 页码: 410-422
作者:  Gao, Chuan;  Zhang, Rong-Hua;  Wu, Xinrong;  Sun, Jichang
Adobe PDF(1370Kb)  |  收藏  |  浏览/下载：255/0  |  提交时间：2019/08/21
intermediate coupled model  ENSO modeling  4D-Var data assimilation system  optimization of model parameter and initial condition  
Initial error-induced optimal perturbations in ENSO predictions, as derived from an intermediate coupled model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2017, 卷号: 34, 期号: 6, 页码: 791-803
作者:  Tao, Ling-Jiang;  Zhang, Rong-Hua;  Gao, Chuan
Adobe PDF(1934Kb)  |  收藏  |  浏览/下载：253/0  |  提交时间：2017/09/29
El Nino Predictability  Initial Errors  Intermediate Coupled Model  Spring Predictability Barrier  
Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2017, 卷号: 34, 期号: 6, 页码: 685-699
作者:  Zhang, Xing;  Mu, Mu;  Wang, Qiang;  Pierini, Stefano
Adobe PDF(9596Kb)  |  收藏  |  浏览/下载：250/0  |  提交时间：2017/09/29
Kuroshio Extension  States Transition  Cnop Approach  Optimal Precursor  Ocean Modeling