IOCAS-IR

浏览/检索结果: 共7条,第1-7条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
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:218/2  |  提交时间:2018/01/11
Atmosphere-ocean  Predictability  Intrinsic Predictability Limit  Ensemble Forecast  
Effects of Singular-Vector-Type Initial Errors on the Short-Range Prediction of Kuroshio Extension Transition Processes 期刊论文
JOURNAL OF CLIMATE, 2017, 卷号: 30, 期号: 15, 页码: 5961-5983
作者:  Wang, Qiang;  Tang, Youmin;  Pierini, Stefano;  Mu, Mu
Adobe PDF(4838Kb)  |  收藏  |  浏览/下载:229/0  |  提交时间:2017/09/29
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
作者:  Zhang, Xing;  Mu, Mu;  Wang, Qiang;  Pierini, Stefano
Adobe PDF(9596Kb)  |  收藏  |  浏览/下载:255/0  |  提交时间:2017/09/29
Kuroshio Extension  States Transition  Cnop Approach  Optimal Precursor  Ocean Modeling  
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:231/0  |  提交时间:2017/09/29
Sensitive Area  Adaptive Observation  The Upstream Kuroshio Transport  Conditional Nonlinear Optimal Perturbation (Cnop)  
A new approach to identify the sensitivity and importance of physical parameters combination within numerical models using the Lund-Potsdam-Jena (LPJ) model as an example 期刊论文
THEORETICAL AND APPLIED CLIMATOLOGY, 2017, 卷号: 128, 期号: 3-4, 页码: 587-601
作者:  Sun, Guodong;  Mu, Mu
Adobe PDF(1336Kb)  |  收藏  |  浏览/下载:213/0  |  提交时间:2017/07/05
The impact of global warming on Kuroshio Extension and its southern recirculation using CMIP5 experiments with a high-resolution climate model MIROC4h 期刊论文
THEORETICAL AND APPLIED CLIMATOLOGY, 2017, 卷号: 127, 期号: 3-4, 页码: 815-827
作者:  Zhang, Xing;  Wang, Qiang;  Mu, Mu
Adobe PDF(3219Kb)  |  收藏  |  浏览/下载:244/1  |  提交时间:2017/04/05
Estimating observing locations for advancing beyond the winter predictability barrier of Indian Ocean dipole event predictions 期刊论文
CLIMATE DYNAMICS, 2017, 卷号: 48, 期号: 3-4, 页码: 1173-1185
作者:  Feng, Rong;  Duan, Wansuo;  Mu, Mu
Adobe PDF(5307Kb)  |  收藏  |  浏览/下载:238/0  |  提交时间:2017/04/05
Indian Ocean Dipole  Sensitive Areas  Winter Predictability Barrier  Initial Errors