Dry spells and probability of rainfall occurrence for Lake Kyoga Basin in Uganda, East Africa

Moses A. Ojara, Yunsheng Lou (), Lawrence Aribo, Silvia Namumbya and Md. Jalal Uddin
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Moses A. Ojara: Nanjing University of Information Science and Technology
Yunsheng Lou: Nanjing University of Information Science and Technology
Lawrence Aribo: Uganda National Meteorological Authority
Silvia Namumbya: Uganda National Meteorological Authority
Md. Jalal Uddin: Nanjing University of Information Science and Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 100, issue 2, No 2, 493-514

Abstract: Abstract The economy of Uganda depends heavily on rainfed agriculture. In this study, daily observed rainfall datasets from 9 weather stations with length varying within 1955 and 2017 were used to generate the probability of rainfall and dry spells occurrence using a Markov chain approach. The length of the maximum dry spell was obtained using the direct method based on the definition of a dry day that rainfall is less than 0.85 mm (R

Keywords: Dry spells; Lake Kyoga Basin; Markov chain process; Mann–Kendall; Agriculture; Uganda (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11069-019-03822-x

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