Hourly Storm Analysis: Understanding Precipitation and
Duration of Short-Term Rainfall in Alor Setar

Voni Apriana Dewi; Arisman Adnan; Rado Yendra

doi:https://doi.org/10.14445/22315373/IJMTT-V69I10P501

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 69 | Issue 10 | Year 2023 | Article Id. IJMTT-V69I10P501 | DOI : https://doi.org/10.14445/22315373/IJMTT-V69I10P501

Hourly Storm Analysis: Understanding Precipitation and Duration of Short-Term Rainfall in Alor Setar

Voni Apriana Dewi, Arisman Adnan, Rado Yendra

Received	Revised	Accepted	Published
08 Jul 2023	14 Sep 2023	01 Oct 2023	24 Oct 2023

Abstract

Global climate change has brought about a surge in extreme weather events, with storm rainfall being one of the most impactful occurrences. Understanding and modeling storm rainfall is crucial for predicting and preparing for future extreme events. In this study, we analyzed hourly rainfall data in Alor Setar, Malaysia, from 1970 to 2008, defining storm events as consecutive periods of rainfall and no rainfall with a minimum duration and precipitation of 3 hours and 3 mm, respectively, and a time interval between storm events of at least 3 hours. We utilized the Generalized Extreme Value (GEV) and Generalized Pareto (GP) distributions with Maximum Likelihood Estimation (MLE) to model the storm rainfall data. Four models were created, and the comparison revealed that GEVt and GEVt models were the best fit for the data. Additionally, we calculated the return period values to estimate the recurrence interval of extreme storm rainfall events, providing valuable insights for better disaster preparedness

Keywords

Generalized Extreme Value, Generalized Pareto, Return period, Short-term rainfall, Storm analysis

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Citation :

Voni Apriana Dewi, Arisman Adnan, Rado Yendra, "Hourly Storm Analysis: Understanding Precipitation and Duration of Short-Term Rainfall in Alor Setar," International Journal of Mathematics Trends and Technology (IJMTT), vol. 69, no. 10, pp. 1-9, 2023. Crossref, https://doi.org/10.14445/22315373/IJMTT-V69I10P501