| Summary: | This paper presents a study to determine the best-f
it distribution to represent the
rainfall process in Damansara and Kelantan, Malaysi
a. Three probability density functions,
namely Wakeby distribution, Generalized Extreme Val
ue function (GEV) and two-parameter
Weibull distributions are selected and compared. Th
e parameters of the distributions are
estimated using L-moments method while the best-fit
distribution is determined by using
Kolmogorov-Smirnov goodness-of-fit test. In additio
n, weighted-average algorithm which is
based on the probability values from the stations i
n Damansara and Kelantan is used to
identify the occurrence of wet and dry events in th
e rainfall data. The impact of different
distributions used in the determination of rainfall
events is evaluated by making comparison
between the actual and the reconstructed rainfall d
ata. The results indicate that the Wakeby
distribution is the best-fit distribution to explai
n the rainfall patterns in Damansara and
Kelantan. However, Wakeby, GEV and Weibull distribu
tions perform equally well in the estimation of wet and dry events in Damansara and Kelantan.
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