DocumentCode :
2257218
Title :
Rainfall rate modeling for various rainfall types in South Africa
Author :
Alonge, A.A. ; Afullo, T.J.
Author_Institution :
Sch. of Electr., Electron. & Comput. Eng., Univ. of KwaZulu-Natal, Durban, South Africa
fYear :
2011
fDate :
13-15 Sept. 2011
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
gamma distribution; log normal distribution; maximum likelihood estimation; rain; AD 2009; Durban; Joss_Waldvogel disdrometer; Moupfouma model; South Africa; drizzle; gamma model; lognormal model; maximum likelihood estimation; rain event; rain rate probability function; raindrops; rainfall classification; rainfall rate modeling; rainfall type; shower; thunderstorm; widespread rain; Analytical models; Conferences; Data models; Density measurement; Educational institutions; Probability density function; Rain; Integration time; rainfall classifications; rainfall rate; rainfall rate distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AFRICON, 2011
Conference_Location :
Livingstone
ISSN :
2153-0025
Print_ISBN :
978-1-61284-992-8
Type :
conf
DOI :
10.1109/AFRCON.2011.6072002
Filename :
6072002
Link To Document :
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