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Effects of Wind Stress Uncertainty on Short-Term Prediction of the Kuroshio Extension State Transition Process 期刊论文
JOURNAL OF PHYSICAL OCEANOGRAPHY, 2023, 卷号: 53, 期号: 12, 页码: 2751-2771
作者:  Zhang, Hui;  Wang, Qiang;  Mu, Mu;  Zhang, Kun;  Geng, Yu
Adobe PDF(13027Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/07
Wind  Forecast verification/skill  Numerical weather prediction/forecasting  Mesoscale models  
Optimally growing initial error for predicting the sudden shift in the Antarctic Circumpolar Current transport and its application to targeted observation 期刊论文
OCEAN DYNAMICS, 2022, 页码: 16
作者:  Zhou, Li;  Zhang, Kun;  Wang, Qiang;  Mu, Mu
Adobe PDF(5567Kb)  |  收藏  |  浏览/下载：114/0  |  提交时间：2023/01/04
The Antarctic Circumpolar Current  Initial errors  CNOP  Targeted observation  Ocean prediction  
Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences 期刊论文
CHINESE ANNALS OF MATHEMATICS SERIES B, 2022, 卷号: 43, 期号: 6, 页码: 1033-1048
作者:  Mu, Mu;  Zhang, Kun;  Wang, Qiang
收藏  |  浏览/下载：27/0  |  提交时间：2023/11/16
Conditional nonlinear optimal perturbation  Atmosphere  Ocean  Targeted observation  Predictability  
Optimal Precursors Triggering Sudden Shifts in the Antarctic Circumpolar Current Transport Through Drake Passage 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2021, 卷号: 126, 期号: 12, 页码: 19
作者:  Zhou, Li;  Wang, Qiang;  Mu, Mu;  Zhang, Kun
Adobe PDF(4661Kb)  |  收藏  |  浏览/下载：171/0  |  提交时间：2022/02/18
Antarctic Circumpolar Current  optimal precursors  short-range prediction  baroclinic instability  CNOP  
Predictability and error growth dynamics of the Kuroshio Extension state transition process in an eddy-resolving regional ocean model 期刊论文
OCEAN MODELLING, 2020, 卷号: 153, 页码: 13
作者:  Geng, Yu;  Wang, Qiang;  Mu, Mu;  Zhang, Kun
Adobe PDF(11651Kb)  |  收藏  |  浏览/下载：212/0  |  提交时间：2020/10/26
Kuroshio Extension  Predictability  Initial error  
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：129/0  |  提交时间：2020/09/25
deep chlorophyll maximum (DCM) simulation  parameter uncertainty  conditional nonlinear optimal perturbation related to parameters (CNOP-P)  sensitivity  
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：230/0  |  提交时间：2017/09/29
Sensitive Area  Adaptive Observation  The Upstream Kuroshio Transport  Conditional Nonlinear Optimal Perturbation (Cnop)  
Effects of optimal initial errors on predicting the seasonal reduction of the upstream Kuroshio transport 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2016, 卷号: 116, 页码: 220-235
作者:  Zhang, Kun;  Wang, Qiang;  Mu, Mu;  Liang, Peng
Adobe PDF(11550Kb)  |  收藏  |  浏览/下载：172/1  |  提交时间：2017/03/21
Initial Errors  The Upstream Kuroshio Transport  Cnop