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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
Authors:  Hu, Junya;  Zhang, Rong-Hua;  Gao, Chuan
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IOCAS ICM  hybrid coupled model  ENSO simulation  atmospheric response  
Interannual Salinity Variability in the Tropical Pacific in CMIP5 Simulations 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 4, 页码: 378-396
Authors:  Zhi, Hai;  Zhang, Rong-Hua;  Lin, Pengfei;  Yu, Peng
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mixed-layer salinity  salt budget  interannual variability  tropical Pacific  model simulation  
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
Authors:  Cheng, Lijing;  Zhu, Jiang;  Abraham, John;  Trenberth, Kevin E.;  Fasullo, John T.;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou
Favorite  |  View/Download:16/0  |  Submit date:2019/08/27
Optimal Initial Error Growth in the Prediction of the Kuroshio Large Meander Based on a High-resolution Regional Ocean Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 11, 页码: 1362-1372
Authors:  Li, Xia;  Wang, Qiang;  Mu, Mu
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Kuroshio large meander  predictability  ROMS  optimal initial error growth  
Persistence of Summer Sea Surface Temperature Anomalies in the Midlatitude North Pacific and Its Interdecadal Variability 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 7, 页码: 868-880
Authors:  Zhao, Xia;  Yang, Guang;  Wang, Jing
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SSTAs persistence  summertime  Kuroshio Extension  cloud feedback  interdecadal variability  
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
Authors:  Tao, Ling-Jiang;  Gao, Chuan;  Zhang, Rong-Hua
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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
Authors:  Gao, Chuan;  Zhang, Rong-Hua;  Wu, Xinrong;  Sun, Jichang
Adobe PDF(1370Kb)  |  Favorite  |  View/Download:16/0  |  Submit date:2019/08/21
intermediate coupled model  ENSO modeling  4D-Var data assimilation system  optimization of model parameter and initial condition  
Two Ultraviolet Radiation Datasets that Cover China 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2017, 卷号: 34, 期号: 7, 页码: 805-815
Authors:  Liu, Hui;  Hu, Bo;  Wang, Yuesi;  Liu, Guangren;  Tang, Liqin;  Ji, Dongsheng;  Bai, Yongfei;  Bao, Weikai;  Chen, Xin;  Chen, Yunming;  Ding, Weixin;  Han, Xiaozeng;  He, Fei;  Huang, Hui;  Huang, Zhenying;  Li, Xinrong;  Li, Yan;  Liu, Wenzhao;  Lin, Luxiang;  Ouyang, Zhu;  Qin, Boqiang;  Shen, Weijun;  Shen, Yanjun;  Su, Hongxin;  Song, Changchun;  Sun, Bo;  Sun, Song;  Wang, Anzhi;  Wang, Genxu;  Wang, Huimin;  Wang, Silong;  Wang, Youshao;  Wei, Wenxue;  Xie, Ping;  Xie, Zongqiang;  Yan, Xiaoyuan;  Zeng, Fanjiang;  Zhang, Fawei;  Zhang, Yangjian;  Zhang, Yiping;  Zhao, Chengyi;  Zhao, Wenzhi;  Zhao, Xueyong;  Zhou, Guoyi;  Zhu, Bo
Adobe PDF(790Kb)  |  Favorite  |  View/Download:85/0  |  Submit date:2017/09/30
Ultraviolet Radiation  Observation  Hybrid Model  Reconstruction  China  
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
Authors:  Tao, Ling-Jiang;  Zhang, Rong-Hua;  Gao, Chuan
Adobe PDF(1934Kb)  |  Favorite  |  View/Download:58/0  |  Submit date: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
Authors:  Zhang, Xing;  Mu, Mu;  Wang, Qiang;  Pierini, Stefano
Adobe PDF(9596Kb)  |  Favorite  |  View/Download:58/0  |  Submit date:2017/09/29
Kuroshio Extension  States Transition  Cnop Approach  Optimal Precursor  Ocean Modeling