期刊文献+

Can the Uncertainties of Madden-Jullian Oscillation Cause a Significant “Spring Predictability Barrier” for ENSO Events? 被引量:3

Can the Uncertainties of Madden-Jullian Oscillation Cause a Significant“Spring Predictability Barrier”for ENSO Events?
原文传递
导出
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 Nifio-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 Nifio 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. 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 Nifio-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 Nifio 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.
出处 《Acta meteorologica Sinica》 SCIE 2012年第5期566-578,共13页
基金 Supported by Knowledge Innovation Program of the Chinese Academy of Sciences (KZCX2-YW-QN203) National Basic Research and Development (973) Program of China (2010CB950400 and 2012CB955202) National Natural Science Foundation of China (41176013)
关键词 ENSO MJO SPB Zebiak-Cane model ENSO, MJO, SPB, Zebiak-Cane model
  • 相关文献

参考文献4

二级参考文献65

共引文献134

同被引文献9

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部