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Progress in ENSO prediction and predictability study 期刊论文
NATIONAL SCIENCE REVIEW, 2018, 卷号: 5, 期号: 6, 页码: 826-839
作者:  Tang, Youmin;  Zhang, Rong-Hua;  Liu, Ting;  Duan, Wansuo;  Yang, Dejian;  Zheng, Fei;  Ren, Hongli;  Lian, Tao;  Gao, Chuan;  Chen, Dake;  Mu, Mu
Adobe PDF(1925Kb)  |  收藏  |  浏览/下载：402/0  |  提交时间：2019/08/27
ENSO prediction and predictability  coupled model  ensemble prediction  optimal error growth  probabilistic prediction  
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：341/0  |  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：267/0  |  提交时间：2019/08/21
intermediate coupled model  ENSO modeling  4D-Var data assimilation system  optimization of model parameter and initial condition  
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：380/0  |  提交时间：2018/10/29
parameter estimation  data assimilation  coupled climate model  convection  
An Argo-Derived Background Diffusivity Parameterization for Improved Ocean Simulations in the Tropical Pacific 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2018, 卷号: 45, 期号: 3, 页码: 1509-1517
作者:  Zhu, Yuchao;  Zhang, Rong-Hua
Adobe PDF(3131Kb)  |  收藏  |  浏览/下载：235/0  |  提交时间：2019/08/21
fine-scale parameterizations  diapycnal diffusivity  MOM5