IOCAS-IR
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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:27/0  |  提交时间:2024/04/07
Wind  Forecast verification/skill  Numerical weather prediction/forecasting  Mesoscale models  
A Biological-Parameter-Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2022, 卷号: 127, 期号: 11, 页码: 23
作者:  Gao, Guandong;  Yang, Dezhou;  Xu, Lingjing;  Zhang, Kun;  Feng, Xingru;  Yin, Baoshu
Adobe PDF(7181Kb)  |  收藏  |  浏览/下载:111/0  |  提交时间:2023/01/04
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:151/0  |  提交时间:2023/01/04
The Antarctic Circumpolar Current  Initial errors  CNOP  Targeted observation  Ocean prediction  
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:193/0  |  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:238/0  |  提交时间:2020/10/26
Kuroshio Extension  Predictability  Initial error  
初始误差对双流环变异可预报性的影响 学位论文
: 中国科学院研究生院, 2013
作者:  张坤
Adobe PDF(1986Kb)  |  收藏  |  浏览/下载:217/2  |  提交时间:2014/08/08
双流环变异  条件非线性最优扰动(cnop)  1.5层浅水模式  可预报性