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IOCAS-IR

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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：292/0  |  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：403/0  |  提交时间：2018/10/29
parameter estimation  data assimilation  coupled climate model  convection  
Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2016, 卷号: 33, 期号: 7, 页码: 875-888
作者:  Gao, Chuan;  Wu, Xinrong;  Zhang, Rong-Hua
Adobe PDF(1168Kb)  |  收藏  |  浏览/下载：325/0  |  提交时间：2016/09/21
Four-dimensional Variational Data Assimilation  Intermediate Coupled Model  Twin Experiment  Enso Prediction