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Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 12
作者:  Gao Yongli;  Mu Mu;  Zhang Kun
Adobe PDF(1297Kb)  |  收藏  |  浏览/下载：124/0  |  提交时间：2020/09/25
deep chlorophyll maximum (DCM) simulation  parameter uncertainty  conditional nonlinear optimal perturbation related to parameters (CNOP-P)  sensitivity  
The predictability of atmospheric and oceanic motions: Retrospect and prospects 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2017, 卷号: 60, 期号: 11, 页码: 2001-2012
作者:  Mu Mu;  Duan WanSuo;  Tang YouMin
Adobe PDF(817Kb)  |  收藏  |  浏览/下载：215/2  |  提交时间：2018/01/11
Atmosphere-ocean  Predictability  Intrinsic Predictability Limit  Ensemble Forecast  
Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2017, 卷号: 60, 期号: 5, 页码: 866-875
作者:  Zhang Kun;  Mu Mu;  Wang Qiang
Adobe PDF(1350Kb)  |  收藏  |  浏览/下载：228/0  |  提交时间：2017/09/29
Sensitive Area  Adaptive Observation  The Upstream Kuroshio Transport  Conditional Nonlinear Optimal Perturbation (Cnop)  
Identifying sensitive areas of adaptive observations for prediction of the Kuroshio large meander using a shallow-water model 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2016, 卷号: 34, 期号: 5, 页码: 1122-1133
作者:  Zou Guang'an;  Wang Qiang;  Mu Mu
Adobe PDF(1002Kb)  |  收藏  |  浏览/下载：219/1  |  提交时间：2016/09/19
Kuroshio Large Meander  Conditional Nonlinear Optimal Perturbation (Cnop)  First Singular Vector (Fsv)  Sensitive Areas  
Application of conditional nonlinear optimal perturbation to targeted observation studies of the atmosphere and ocean 期刊论文
JOURNAL OF METEOROLOGICAL RESEARCH, 2014, 卷号: 28, 期号: 5, 页码: 923-933
作者:  Mu Mu;  Wang Qiang;  Duan Wansuo;  Jiang Zhina;  Wang, Q (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China.
Adobe PDF(1687Kb)  |  收藏  |  浏览/下载：296/0  |  提交时间：2015/06/11
Conditional Nonlinear Optimal Perturbation  Targeted Observation  Enso  Kuroshio Path Variations  Blocking  
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：198/0  |  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：183/0  |  提交时间：2015/06/11
Adaptive Observation  Tropical Cyclone  Intensity Forecast  Conditional Nonlinear Optimal Perturbation  
Methods, current status, and prospect of targeted observation 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2013, 卷号: 56, 期号: 12, 页码: 1997-2005
作者:  Mu Mu;  Mu, M
Adobe PDF(404Kb)  |  收藏  |  浏览/下载：216/0  |  提交时间：2014/07/17
Targeted Observation  Atmosphere  Ocean  Predictability  
Optimal nonlinear excitation of decadal variability of the North Atlantic thermohaline circulation 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2013, 卷号: 31, 期号: 6, 页码: 1356-1362
作者:  Zu Ziqing;  Mu Mu;  Dijkstra, Henk A.;  Mu, M
Adobe PDF(417Kb)  |  收藏  |  浏览/下载：213/0  |  提交时间：2014/07/17
Thermohaline Circulation  Decadal Variability  Conditional Nonlinear Optimal Perturbation  Nonlinear Advective Feedback  
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：188/0  |  提交时间：2013/09/24
Time Dependence  Cnop  Sensitive Area  Typhoon  Targeted Observations