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Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula

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Title Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula
 
Creator GHOSH, S
 
Subject tail-dependence coefficient
frequency-analysis
archimedean copulas
hydrology
rainfall
copula
multivariate analysis
 
Description The rainfall patterns of neighbouring meteorological subdivisions of India are similar because of similar climatological and geographical characteristics. Analysing the rainfall pattern separately for these meteorological subdivisions may not always capture the correlation and tail dependence. Furthermore, generating the multivariate rainfall data separately may not preserve the correlation. In this study, copula method is used to derive the bivariate distribution of monsoon rainfall in neighbouring meteorological subdivisions. Different Archimedean copulas are used for this purpose and the best copula is selected based on nonparametric test and tail dependence coefficient. The fitted copula is then applied to derive the bivariate distribution, joint return period and conditional distribution. Bivariate rainfall data is generated with the fitted copula and it is observed with the increase of sample size, the generated data is able to capture the correlation as well as tail dependence. The methodology is demonstrated with the case study of two neighbouring meteorological subdivisions of North-East India: Assam and Meghalaya meteorological subdivision and Nagaland, Manipur, Mizoram and Tripura meteorological subdivision. Copyright (C) 2010 , Ltd.
 
Publisher JOHN WILEY & SONS LTD
 
Date 2011-08-16T22:59:45Z
2011-12-26T12:55:12Z
2011-12-27T05:43:53Z
2011-08-16T22:59:45Z
2011-12-26T12:55:12Z
2011-12-27T05:43:53Z
2010
 
Type Article
 
Identifier HYDROLOGICAL PROCESSES, 24(24), 3558-3567
0885-6087
http://dx.doi.org/10.1002/hyp.7785
http://dspace.library.iitb.ac.in/xmlui/handle/10054/9655
http://hdl.handle.net/10054/9655
 
Language en