Multimodel response assessment for monthly rainfall distribution in some selected Indian cities using best-fit probability as a tool

Sukrutha, Anumandla and Dyuthi, Sristi Ram and Desai, Shantanu (2018) Multimodel response assessment for monthly rainfall distribution in some selected Indian cities using best-fit probability as a tool. Applied Water Science, 8 (5). pp. 1-10. ISSN 2190-5487

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Abstract

We carry out a study of the statistical distribution of rainfall precipitation data for 20 cites in India . We have determined the best-fit probability distribution for these cities from the monthly precipitation data spanning 100 years of observations from 1901 to 2002. To fit the observed data, we considered 10 different distributions. The efficacy of the fits for these distributions was evaluated using four empirical nonparametric goodness-of-fit tests, namely Kolmogorov–Smirnov, Anderson–Darling, Chi-square test, Akaike information criterion, and Bayesian information criterion. Finally, the best-fit distribution using each of these tests were reported, by combining the results from the model comparison tests . We then find that for most of the cities, generalized extreme value distribution or inverse Gaussian distribution most adequately fits the observed data .

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IITH Creators:
IITH CreatorsORCiD
Desai, Shantanuhttp://orcid.org/0000-0002-0466-3288
Item Type: Article
Uncontrolled Keywords: Rainfall statistics, KS test, Anderson–Darling test, AIC, BIC
Subjects: Electrical Engineering
Physics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 06 Sep 2018 11:38
Last Modified: 06 Sep 2018 11:41
URI: http://raiith.iith.ac.in/id/eprint/4428
Publisher URL: http://doi.org/10.1007/s13201-018-0789-4
OA policy: http://www.sherpa.ac.uk/romeo/issn/2190-5487/
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