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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：240/0  |  提交时间：2015/06/11
Enso Predictability  Spring Predictability Barrier  Initial Errors  Parameter Errors  Error Growth  
Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts? 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 卷号: 31, 期号: 2, 页码: 252-262
作者:  Qin Xiaohao;  Mu Mu;  Qin, XH (reprint author), Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China.
Adobe PDF(2793Kb)  |  收藏  |  浏览/下载：190/0  |  提交时间：2015/06/11
Adaptive Observation  Tropical Cyclone  Intensity Forecast  Conditional Nonlinear Optimal Perturbation  
Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 2, 页码: 515-524
作者:  Sun Guodong;  Mu Mu;  Sun, GD
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：250/0  |  提交时间：2014/07/17
Conditional Nonlinear Optimal Perturbation  Initial Perturbation  Cnop-i  Terrestrial Ecosystem  Land Use  
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：196/0  |  提交时间：2013/09/24
Time Dependence  Cnop  Sensitive Area  Typhoon  Targeted Observations  
Application of the conditional nonlinear optimal perturbation method to the predictability study of the Kuroshio large meander 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 1, 页码: 118-134
作者:  Wang Qiang;  Mu Mu;  Dijkstra, Henk A.;  Mu, M (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave, Qingdao 266071, Peoples R China.
Adobe PDF(1434Kb)  |  收藏  |  浏览/下载：171/0  |  提交时间：2013/09/24
Conditional Nonlinear Optimal Perturbation  Kuroshio Large Meander  Predictability  Model Parameters  
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：196/0  |  提交时间：2013/09/24
Sensitive Area  Conditional Nonlinear Optimal Perturbation  Cnop  Uncertainty Of Initial Conditions  Nonlinear Development  
The impact of horizontal resolution on the CNOP and on its identified sensitive areas for tropical cyclone predictions 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 1, 页码: 36-46
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(16113Kb)  |  收藏  |  浏览/下载：149/0  |  提交时间：2013/09/24
Horizontal Resolution  Cnop  Sensitive Area  Tc Prediction  
The Role of Warm North Atlantic SST in the Formation of Positive Height Anomalies over the Ural Mountains during January 2008 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2011, 卷号: 28, 期号: 2, 页码: 246-256
作者:  Han Zhe;  Li Shuanglin;  Mu Mu
Adobe PDF(1452Kb)  |  收藏  |  浏览/下载：272/0  |  提交时间：2012/07/03
Blocking  Severe Snow  North Atlantic Ssta  Transient Eddy  
Algorithm Studies on How to Obtain a Conditional Nonlinear Optimal Perturbation (CNOP) 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2010, 卷号: 27, 期号: 6, 页码: 1311-1321
作者:  Sun Guodong;  Mu Mu;  Zhang Yale
Adobe PDF(537Kb)  |  收藏  |  浏览/下载：164/1  |  提交时间：2010/12/24
Conditional Nonlinear Optimal Perturbation  Constrained Optimization Problem  Unconstrained Optimization Problem