Rainfall rate modeling for various rainfall types in South Africa

A. A. Alonge, T. J. Afullo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


This paper models the rainfall rate in Durban (29° 97′S, 30°95′E), South Africa for four different rainfall classifications: drizzle, widespread, shower and thunderstorm. Twelve-months data obtained in 2009 via the Joss-Waldvogel disdrometer, gave a total of 729 independent rain events and 5,542,147 raindrops. The measured rain rate probability functions were compared with the Moupfouma model using 1-minute integration time. The maximum likelihood estimators were adopted for the parameters of two other statistical models, the lognormal and gamma models. The results show that gamma model had the closest performance for the various rain classifications under consideration.

Original languageEnglish
Title of host publicationIEEE Africon'11
Publication statusPublished - 2011
Externally publishedYes
EventIEEE Africon'11 - Victoria Falls, Livingstone, Zambia
Duration: 13 Sept 201115 Sept 2011

Publication series

NameIEEE AFRICON Conference


ConferenceIEEE Africon'11
CityVictoria Falls, Livingstone


  • Integration time
  • rainfall classifications
  • rainfall rate
  • rainfall rate distribution

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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