中文版 | English

在结果中检索

IOCAS-IR

浏览/检索结果: 共12条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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：298/0  |  提交时间：2019/08/28
IOCAS ICM  hybrid coupled model  ENSO simulation  atmospheric response  
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：339/0  |  提交时间：2019/08/21
El Nino prediction  initial condition errors  target observations  
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：261/0  |  提交时间：2017/09/29
El Nino Predictability  Initial Errors  Intermediate Coupled Model  Spring Predictability Barrier  
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：317/0  |  提交时间：2016/09/21
Four-dimensional Variational Data Assimilation  Intermediate Coupled Model  Twin Experiment  Enso Prediction  
Weak ENSO Asymmetry Due to Weak Nonlinear Air-Sea Interaction in CMIP5 Climate Models 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2016, 卷号: 33, 期号: 3, 页码: 352-364
作者:  Sun, Yan;  Wang, Fan;  Sun, De-Zheng
Adobe PDF(64Kb)  |  收藏  |  浏览/下载：237/1  |  提交时间：2016/05/03
Enso Asymmetry  Nonlinearity  Air-sea Interaction  Cold Tongue  Cmip5  Deep Convection  
Role of parameter errors in the spring predictability barrier for ENSO events in the Zebiak-Cane model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 卷号: 31, 期号: 3, 页码: 647-656
作者:  Yu Liang;  Mu Mu;  Yu, Yanshan;  Mu, M (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China.
Adobe PDF(500Kb)  |  收藏  |  浏览/下载：205/0  |  提交时间：2015/06/11
Enso Predictability  Spring Predictability Barrier  Initial Errors  Parameter Errors  Error Growth  
Western pacific warm pool and ENSO asymmetry in CMIP3 models 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 3, 页码: 940-953
作者:  Sun Yan;  Sun, De-Zheng;  Wu Lixin;  Wang Fan;  Wang, F
Adobe PDF(5750Kb)  |  收藏  |  浏览/下载：334/1  |  提交时间：2014/07/17
Warm Pool  Enso Asymmetry  Cmip3 Model  Enso Time-mean Effect  
The time and regime dependencies of sensitive areas for tropical cyclone prediction using the CNOP method 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 4, 页码: 705-716
作者:  Zhou Feifan;  Mu Mu;  Zhou, FF (reprint author), Chinese Acad Sci, Inst Atmospher Phys, Lab Cloud Precipitat Phys & Severe Storms, Beijing 100029, Peoples R China.
Adobe PDF(9445Kb)  |  收藏  |  浏览/下载：190/0  |  提交时间：2013/09/24
Time Dependence  Cnop  Sensitive Area  Typhoon  Targeted Observations  
The roles of spatial locations and patterns of initial errors in the uncertainties of tropical cyclone forecasts 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 1, 页码: 63-78
作者:  Chen Boyu;  Mu Mu;  Mu, M (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave, Qingdao 266071, Peoples R China.
Adobe PDF(1166Kb)  |  收藏  |  浏览/下载：184/0  |  提交时间：2013/09/24
Sensitive Area  Conditional Nonlinear Optimal Perturbation  Cnop  Uncertainty Of Initial Conditions  Nonlinear Development  
Response of a Grassland Ecosystem to Climate Change in a Theoretical Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2011, 卷号: 28, 期号: 6, 页码: 1266-1278
作者:  Sun Guodong;  Mu Mu
Adobe PDF(860Kb)  |  收藏  |  浏览/下载：193/2  |  提交时间：2012/07/03
Conditional Nonlinear Optimal Perturbation  Parameter Perturbation  Cnop-p  Grassland Ecosystem  Climate Change