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Modelling Rainfall Duration And Severity Using Copula

Authors:

Pauline Mah Jin Wee ,

Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research, Universiti Putra and Department of Statistics, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, MY
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Mahendran Shitan

Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research, Universiti Putra and Department of Mathematics, Faculty of Science, Universiti Putra, MY
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Abstract

Malaysia experiences two monsoon periods which are usually accompanied by floods and such occurrences have been quite frequent over the past two decades. Muda river which is located in the Northern part of Malaysia has experienced major flood events which are linked to the rainfall duration and severity. Copula modelling has become popular in various fields like insurance, finance, geostatistics, hydrology, etc. In Malaysia, copula modelling of floods and rainfall have not been undertaken yet and therefore the objective of this study is to fit the copulas to the rainfall duration and severity data of a selected station in Malaysia. We found that both the rainfall duration and severity follow Gamma distributions and the Gumbel-Hougaard copula appears to be a suitable model for modelling rainfall duration and severity.

DOI: http://dx.doi.org/10.4038/sljastats.v14i1.5874

How to Cite: Wee, P.M.J. & Shitan, M., (2013). Modelling Rainfall Duration And Severity Using Copula. Sri Lankan Journal of Applied Statistics. 14(1), pp.13–26. DOI: http://doi.org/10.4038/sljastats.v14i1.5874
Published on 27 Jul 2013.
Peer Reviewed

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