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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：443/0  |  提交时间：2019/08/27
ENSO prediction and predictability  coupled model  ensemble prediction  optimal error growth  probabilistic prediction  
Scaling wind stirring effects in an oceanic bulk mixed layer model with application to an OGCM of the tropical Pacific 期刊论文
CLIMATE DYNAMICS, 2018, 卷号: 51, 期号: 5-6, 页码: 1927-1946
作者:  Zhu, Yuchao;  Zhang, Rong-Hua
Adobe PDF(8367Kb)  |  收藏  |  浏览/下载：373/0  |  提交时间：2019/08/23
Bulk mixed layer  Optimizing wind stirring effect  Ocean circulation models  
El Nino-Southern Oscillation complexity 期刊论文
NATURE, 2018, 卷号: 559, 期号: 7715, 页码: 535-545
作者:  Timmermann, Axel;  An, Soon-Il;  Kug, Jong-Seong;  Jin, Fei-Fei;  Cai, Wenju;  Capotondi, Antonietta;  Cobb, Kim;  Lengaigne, Matthieu;  McPhaden, Michael J.;  Stuecker, Malte F.;  Stein, Karl;  Wittenberg, Andrew T.;  Yun, Kyung-Sook;  Bayr, Tobias;  Chen, Han-Ching;  Chikamoto, Yoshimitsu;  Dewitte, Boris;  Dommenget, Dietmar;  Grothe, Pamela;  Guilyardi, Eric;  Ham, Yoo-Geun;  Hayashi, Michiya;  Ineson, Sarah;  Kang, Daehyun;  Kim, Sunyong;  Kim, WonMoo;  Lee, June-Yi;  Li, Tim;  Luo, Jing-Jia;  McGregor, Shayne;  Planton, Yann;  Power, Scott;  Rashid, Harun;  Ren, Hong-Li;  Santoso, Agus;  Takahashi, Ken;  Todd, Alexander;  Wang, Guomin;  Wang, Guojian;  Xie, Ruihuang;  Yang, Woo-Hyun;  Yeh, Sang-Wook;  Yoon, Jinho;  Zeller, Elke;  Zhang, Xuebin
Adobe PDF(4608Kb)  |  收藏  |  浏览/下载：534/0  |  提交时间：2019/08/23
Spatiotemporal Features of Intraseasonal Oceanic Variability in the Philippine Sea From Mooring Observations and Numerical Simulations 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2018, 卷号: 123, 期号: 7, 页码: 4874-4887
作者:  Hu, Shijian;  Sprintall, Janet;  Guan, Cong;  Sun, Bowen;  Wang, Fan;  Yang, Guang;  Jia, Fan;  Wang, Jianing;  Hu, Dunxin;  Chai, Fei
Adobe PDF(11271Kb)  |  收藏  |  浏览/下载：302/0  |  提交时间：2019/08/23
An improved simulation of the 2015 El Nio event by optimally correcting the initial conditions and model parameters in an intermediate coupled model 期刊论文
CLIMATE DYNAMICS, 2018, 卷号: 51, 期号: 1-2, 页码: 269-282
作者:  Zhang, Rong-Hua;  Tao, Ling-Jiang;  Gao, Chuan
Adobe PDF(3230Kb)  |  收藏  |  浏览/下载：320/0  |  提交时间：2019/08/21
The 2015 El Nino event  ICM  The CNOP-based approach  Optimal bias corrections to ICs and MPs  
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：386/0  |  提交时间：2019/08/21
El Nino prediction  initial condition errors  target observations  
Pacific-North American teleconnection and North Pacific Oscillation: historical simulation and future projection in CMIP5 models 期刊论文
CLIMATE DYNAMICS, 2018, 卷号: 50, 期号: 11-12, 页码: 4379-4403
作者:  Chen, Zheng;  Gan, Bolan;  Wu, Lixin;  Jia, Fan
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：300/0  |  提交时间：2019/08/21
Global warming  Pacific-North American teleconnection  North Pacific Oscillation  Tropical Pacific Ocean  CMIP5 climate models  
70万年来西太平洋暖池的热带过程及其对上层水体pH和pCO2的影响 学位论文
, 中国科学院海洋研究所: 中国科学院大学, 2018
作者:  贾奇
Adobe PDF(9684Kb)  |  收藏  |  浏览/下载：370/1  |  提交时间：2018/06/05
西太平洋暖池  温盐  厄尔尼诺/南方涛动  上层水体结构  Ph  
海洋垂向混合参数化优化方案及对海洋环流和气候模式的改进 学位论文
, 中国科学院海洋研究所: 中国科学院大学, 2018
作者:  朱聿超
Adobe PDF(14530Kb)  |  收藏  |  浏览/下载：441/3  |  提交时间：2018/05/30
模式误差  垂向混合优化方案  细尺度参数化方法  Argo资料  
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：300/0  |  提交时间：2019/08/21
intermediate coupled model  ENSO modeling  4D-Var data assimilation system  optimization of model parameter and initial condition