New spatial and temporal indices of Indian summer monsoon rainfall

被引:10
|
作者
Dwivedi, Sanjeev [1 ,2 ]
Uma, R. [1 ]
Kumar, T. V. Lakshmi [1 ]
Narayanan, M. S. [1 ]
Pokhrel, Samir [3 ]
Kripalani, R. H. [3 ]
机构
[1] SRM Univ, Dept Phys, Chennai 603203, Tamil Nadu, India
[2] Natl Atmospher Res Lab, Gadanki 517502, India
[3] Indian Inst Trop Meteorol, NCL Post, Pune 411008, Maharashtra, India
关键词
CLIMATE-CHANGE; VARIABILITY; PATTERNS; MODE;
D O I
10.1007/s00704-018-2428-2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The overall yearly seasonal performance of Indian southwest monsoon rainfall (ISMR) for the whole Indian land mass is presently expressed by the India Meteorological Department (IMD) by a single number, the total quantum of rainfall. Any particular year is declared as excess/deficit or normal monsoon rainfall year on the basis of this single number. It is well known that monsoon rainfall also has high interannual variability in spatial and temporal scales. To account for these aspects in ISMR, we propose two new spatial and temporal indices. These indices have been calculated using the 115years of IMD daily 0.25 degrees x0.25 degrees gridded rainfall data. Both indices seem to go in tandem with the in vogue seasonal quantum index. The anomaly analysis indicates that the indices during excess monsoon years behave randomly, while for deficit monsoon years the phase of all the three indices is the same. Evaluation of these indices is also studied with respect to the existing dynamical indices based on large-scale circulation. It is found that the new temporal indices have better link with circulation indices as compared to the new spatial indices. El Nino and Southern Oscillation (ENSO) especially over the equatorial Pacific Ocean still have the largest influence in both the new indices. However, temporal indices have much better remote influence as compared to that of spatial indices. Linkages over the Indian Ocean regions are very different in both the spatial and temporal indices. Continuous wavelet transform (CWT) analysis indicates that the complete spectrum of oscillation of the QI is shared in the lower oscillation band by the spatial index and in the higher oscillation band by the temporal index. These new indices may give some extra dimension to study Indian summer monsoon variability.
引用
收藏
页码:979 / 990
页数:12
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