Modelling extreme precipitation: An application to two selected rainfall stations in Malaysia

Teoh, L.E. and Mohd Jamil, Aida Adha and Mohamad Yunus, Rossita and Zubairi, Yong Zulina and Ng, W.S. (2021) Modelling extreme precipitation: An application to two selected rainfall stations in Malaysia. ITM Web of Conferences, 36. 01007. ISSN 2271-2097, DOI https://doi.org/10.1051/itmconf/20213601007.

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Official URL: https://doi.org/10.1051/itmconf/20213601007

Abstract

Statistical models of rainfall have been applied in the understanding of the rainfall past trends, identifying for any anomalies, and making projections of future climate change in Malaysia. Herein, we analyse the rainfall data of 7-year period using the gamma and beta regression models to fit Malaysian extreme precipitation events of two stations, each in the West Coast region and the East Coast region, with extreme precipitation calendar date (in the angular form) as the predictor of the models. While the significance test as the p-value is much less than 0.05, it shows that there is a significant relationship between the climatology response variables. The deviance residual plot will be used to check the goodness of fit for diagnostic checking. The results show the models are useful in highlighting the latest trends and projections of climate change in Malaysia.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Climate change; Malaysia; Rainfall data; Climatology response variables
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Science
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 21 Feb 2022 07:34
Last Modified: 21 Feb 2022 07:34
URI: http://eprints.um.edu.my/id/eprint/26251

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