TY - GEN
T1 - Rainfall rate modeling for various rainfall types in South Africa
AU - Alonge, A. A.
AU - Afullo, T. J.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Integration time
KW - rainfall classifications
KW - rainfall rate
KW - rainfall rate distribution
UR - http://www.scopus.com/inward/record.url?scp=82955237828&partnerID=8YFLogxK
U2 - 10.1109/AFRCON.2011.6072002
DO - 10.1109/AFRCON.2011.6072002
M3 - Conference contribution
AN - SCOPUS:82955237828
SN - 9781612849928
T3 - IEEE AFRICON Conference
BT - IEEE Africon'11
T2 - IEEE Africon'11
Y2 - 13 September 2011 through 15 September 2011
ER -
