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Is Model Parameter Error Related to a Significant Spring Predictability Barrier for El Nio events? Results from a Theoretical Model  
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【英文篇名】 Is Model Parameter Error Related to a Significant Spring Predictability Barrier for El Nio events? Results from a Theoretical Model
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【作者】 段晚锁; 张蕊;
【英文作者】 DUAN Wansuo1 and ZHANG Rui1; 2 1State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics; Institute of Atmospheric Physics; Chinese Academy of Sciences; Beijing 100029 2Graduate University of the Chinese Academy of Science; Beijing 100049;
【作者单位】 State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics; Institute of Atmospheric Physics; Chinese Academy of Sciences; Graduate University of the Chinese Academy of Science;
【文献出处】 Advances in Atmospheric Sciences , 大气科学进展(英文版), 编辑部邮箱 2010年 05期  
期刊荣誉:ASPT来源刊  中国期刊方阵  CJFD收录刊
【英文关键词】 ENSO predictability; optimal perturbation; error growth; model parameters;
【摘要】 Within a theoretical ENSO model, the authors investigated whether or not the errors superimposed on model parameters could cause a significant spring predictability barrier (SPB) for El Nio events. First, sensitivity experiments were respectively performed to the air-sea coupling parameter, α and the thermocline effect coefficient μ. The results showed that the uncertainties superimposed on each of the two parameters did not exhibit an obvious season-dependent evolution; furthermore, the uncertainties caus...
【英文摘要】 Within a theoretical ENSO model, the authors investigated whether or not the errors superimposed on model parameters could cause a significant spring predictability barrier (SPB) for El Nio events. First, sensitivity experiments were respectively performed to the air-sea coupling parameter, α and the thermocline effect coefficient μ. The results showed that the uncertainties superimposed on each of the two parameters did not exhibit an obvious season-dependent evolution; furthermore, the uncertainties caus...
【基金】 sponsored by the Knowl-edge Innovation Program of the Chinese Academy of Sciences (No. KZCX2-YW-QN203); the National Basic Re-search Program of China (No. 2007CB411800); the GYHY200906009 of the China Meteorological Administra-tion
【更新日期】 2010-09-16
【分类号】 P732
【正文快照】 1. Introduction The ENSO, a prominent climate phenomenon in the coupled ocean–atmosphere system of the tropi- cal Pacific, has a significant impact on global climate. Hence, ENSO has received a great deal of attention in the scientific literature. While

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