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Homogeneous clusters over India using probability density function of daily rainfall

Kulkarni, A (2017) Homogeneous clusters over India using probability density function of daily rainfall. Theoretical and Applied Climatology, 129 (1-2). pp. 633-643.

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The Indian landmass has been divided into homogeneous clusters by applying the cluster analysis to the probability density function of a century-long time series of daily summer monsoon (June through September) rainfall at 357 grids over India, each of approximately 100 km × 100 km. The analysis gives five clusters over Indian landmass; only cluster 5 happened to be the contiguous region and all other clusters are dispersed away which confirms the erratic behavior of daily rainfall over India. The area averaged seasonal rainfall over cluster 5 has a very strong relationship with Indian summer monsoon rainfall; also, the rainfall variability over this region is modulated by the most important mode of climate system, i.e., El Nino Southern Oscillation (ENSO). This cluster could be considered as the representative of the entire Indian landmass to examine monsoon variability. The two-sample Kolmogorov-Smirnov test supports that the cumulative distribution functions of daily rainfall over cluster 5 and India as a whole do not differ significantly. The clustering algorithm is also applied to two time epochs 1901–1975 and 1976–2010 to examine the possible changes in clusters in a recent warming period. The clusters are drastically different in two time periods. They are more dispersed in recent period implying the more erroneous distribution of daily rainfall in recent period.

Item Type: Article
Additional Information: Copyright of this article belongs to Springer International Publishing
Subjects: Meteorology and Climatology
Depositing User: IITM Library
Date Deposited: 15 Dec 2017 10:40
Last Modified: 15 Dec 2017 10:40

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