Can the Uncertainties of Madden-Jullian Oscillation Cause a Significant “Spring Predictability Barrier” for ENSO Events?

被引:0
|
作者
彭跃华 [1 ,2 ,3 ]
段晚锁 [2 ]
项杰 [3 ]
机构
[1] Dalian Naval Academy
[2] LASG,Institute of Atmospheric Physics,Chinese Academy of Sciences
[3] Institute of Meteorology,PLA University of Science and Technology
基金
中国国家自然科学基金;
关键词
ENSO; MJO; SPB; Zebiak-Cane model;
D O I
暂无
中图分类号
P45 [天气预报];
学科分类号
0706 ; 070601 ;
摘要
With the Zebiak-Cane model and a parameterized stochastic representation of intraseasonal forcing,the impact of the uncertainties of Madden-Jullian Oscillation (MJO) on the "Spring Predictability Barrier(SPB)" for El Nin o-Southern Oscillation (ENSO) prediction is studied. The parameterized form of MJO forcing is added physically to the Zebiak-Cane model to obtain the so-called Zebiak-Cane-MJO model and then the effects of initial error, stochastic model error, and their joint error mode on the SPB associated with El Nin o prediction are estimated. The results show that the model errors caused by stochastic MJO forcing could hardly lead to a significant SPB while initial errors can do; furthermore, the joint error mode of initial error and model error associated with the stochastic MJO forcing can also lead to a significant SPB.These demonstrate that the initial error is probably the main error source of the SPB, which may provide a theoretical foundation of data assimilation for ENSO forecasts.
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页码:566 / 578
页数:13
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