4.7 Article

The linear response of ENSO to the Madden-Julian oscillation

期刊

JOURNAL OF CLIMATE
卷 18, 期 13, 页码 2441-2459

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI3408.1

关键词

-

向作者/读者索取更多资源

The possibility that the tropical Pacific coupled system linearly amplifies perturbations produced by the Madden-Julian oscillation (MJO) is explored. This requires an estimate of the low-frequency tail of the MJO. Using 23 yr of NCEP-NCAR reanalyses of surface wind and Reynolds SST, we show that the spatial structure that dominates the intraseasonal hand (i.e., the MJO) also dominates the low-frequency band once the anomalies directly related to ENSO have been removed. This low-frequency contribution of the intraseasonal variability is not included in most ENSO coupled models used to date. Its effect in a coupled model of intermediate complexity has, therefore, been studied. It is found that this MJO forcing (tau(MJO)) can explain a large fraction of the interannual variability in an asymptotically stable version of the model. This interaction is achieved via linear dynamics. That is, it is the cumulative effect of individual events that maintains ENSOs in this model. The largest coupled wind anomalies are initiated after a sequence of several downwelling Kelvin waves of the same sign have been forced by tau(MJO). The cumulative effect of the forced Kelvin waves is to persist the (small) SST anomalies in the eastern Pacific just enough for the coupled ocean-atmosphere dynamics to amplify the anomalies into a mature ENSO event. Even though tau(MJO) explains just a small fraction of the energy contained in the stress not associated with ENSO, a large fraction of the modeled ENSO variability is excited by this forcing. The characteristics that make tau(MJO) an optimal stochastic forcing for the model are discussed. The large zonal extent is an important factor that differentiates the MJO from other sources of stochastic forcing.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据