Ismail, Mohamed A. (2023) Statistical modelling of extreme rainfall in Khartoum, Sudan. HUNGARIAN STATISTICAL REVIEW, 6 (2). pp. 75-88. ISSN 2630-9130
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Abstract
The objective of this study was to analyse the extreme rainfall data of Khartoum, the capital city of Sudan. The study's data consist of monthly rainfall data obtained from the World Bank Climate Change Knowledge Portal for the years 1901 to 2021. The generalized extreme value (GEV) distribution was used to model the annual maximum rainfall using the block maxima method. The model parameters were estimated using the maximum likelihood estimation (MLE) method. We found evidence to suggest that the Gumbel model better fits the maximum rainfall data based on the likelihood ratio test of the GEV and Gumbel models. The return levels of maximum monthly rainfall in Khartoum and their 95 percent confidence intervals were computed for selected return periods: 2, 10, 20, 25, 30, 50, 100, 200, and 500 years.
| Item Type: | Article |
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| Uncontrolled Keywords: | rainfall, generalized extreme value, Gumbel distribution, block maxima, return level, Khartoum, Sudan |
| Subjects: | H Social Sciences / társadalomtudományok > HA Statistics / statisztika Q Science / természettudomány > QE Geology / földtudományok > QE08 Hydrosphere. Hydrology / hidroszféra, hidrológia |
| Depositing User: | Andrea Tankó |
| Date Deposited: | 03 Aug 2024 08:43 |
| Last Modified: | 03 Aug 2024 08:43 |
| URI: | https://real.mtak.hu/id/eprint/201668 |
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