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A coupled model study on ENSO, MJO and Indian summer monsoon rainfall relationships

机译:ENSO,MJO与印度夏季风降水关系的耦合模型研究

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摘要

In this paper, we have tried to understand the ENSO, MJO and Indian summer monsoon rainfall relationships from observation as well as from coupled model results. It was the general feeling that El-Nino years are the deficient in Indian monsoon rainfall and converse being the case for the La-Nina years. Recent papers by several authors noted the failure of this relationship. We find that the model output does confirm a breakdown of this relationship. In this study we have seen that a statistically defined modified Indian summer monsoon rainfall (MISMR) index, a linearly regressed ISMR index and dynamical Webster index (WBSI). shows an inverse relationship with ENSO index during the entire period of integration (1987 to 1999). It is also seen from this study that the amplification of the MJO signals were large and the ENSO signals were less pronounced during the years of above normal ISMR. The MJO signal amplitudes were small and ENSO signals were strong during the years of deficient ISMR. It has been noted that here is a time lag between the MJO and ENSO signal in terms of their modulation aspect. If time lag is added with the ENSO signal then both signals maintain the amplitude modulation theory. A hypothesis is being proposed here to define a relationship between MJO and ENSO signals for the entire period between 1987 and 1999.
机译:在本文中,我们试图通过观测以及耦合模型结果来了解ENSO,MJO和印度夏季风的降雨关系。人们普遍认为,埃尔尼诺年缺乏印度季风降雨,而拉尼娜年则相反。几位作者的最新论文指出了这种关系的失败。我们发现模型输出确实确认了这种关系的细分。在这项研究中,我们看到了统计上定义的印度夏季季风降雨量(MISMR)指数,线性回归ISMR指数和动态韦伯斯特指数(WBSI)。显示在整个整合期间(1987年至1999年)与ENSO指数呈反比关系。从这项研究中还可以看出,在高于正常ISMR的年份中,MJO信号的放大很大,而ENSO信号却不太明显。在ISMR不足的年份中,MJO信号幅度小而ENSO信号强。已经注意到,就调制方面而言,这是MJO和ENSO信号之间的时滞。如果将ENSO信号加上时间滞后,则两个信号都将保持振幅调制理论。本文提出了一个假设,以定义1987年至1999年整个时期的MJO和ENSO信号之间的关系。

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