globalchange  > 气候减缓与适应
DOI: 10.1007/s00704-018-2428-2
WOS记录号: WOS:000464905800012
论文题名:
New spatial and temporal indices of Indian summer monsoon rainfall
作者: Dwivedi, Sanjeev1,2; Uma, R.1; Kumar, T. V. Lakshmi1; Narayanan, M. S.1; Pokhrel, Samir3; Kripalani, R. H.3
通讯作者: Pokhrel, Samir
刊名: THEORETICAL AND APPLIED CLIMATOLOGY
ISSN: 0177-798X
EISSN: 1434-4483
出版年: 2019
卷: 135, 期:3-4, 页码:979-990
语种: 英语
WOS关键词: CLIMATE-CHANGE ; VARIABILITY ; PATTERNS ; MODE
WOS学科分类: Meteorology & Atmospheric Sciences
WOS研究方向: Meteorology & Atmospheric Sciences
英文摘要:

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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125311
Appears in Collections:气候减缓与适应

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作者单位: 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

Recommended Citation:
Dwivedi, Sanjeev,Uma, R.,Kumar, T. V. Lakshmi,et al. New spatial and temporal indices of Indian summer monsoon rainfall[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2019-01-01,135(3-4):979-990
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