Modelling Korean extreme rainfall using a Kappa distribution and maximum likelihood estimate |
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| Authors: | J-S Park H-S Jung |
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| Institution: | (1) Department of Statistics, Inform & Telecomm Research Institute, Chonnam National University, Kwangju, Korea, KR;(2) Korean Meteorological Administration, Seoul, Korea, KR |
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| Abstract: | Summary Attempts to use the 4-parameter Kappa distribution (K4D) with the maximum likelihood estimates (MLE) on the summer extreme
daily rainfall data at 61 gauging stations over South Korea have been made to obtain reliable quantile estimates for several
return periods. A numerical algorithm for searching MLE of K4D by minimizing the negative log-likelihood function with penalty
method has been described. The isopluvial maps of estimated design values corresponding to selected return periods have been
presented. The highest return values are centered at sites in the south-western part of the Korean peninsula. The distribution
of return values for annual maxima of 2-day precipitation (AMP2) is more similar to the climatological features of annual
total precipitation of Korea than that of annual maxima of daily precipitation (AMP1). Our results of return values delineate
well the horizontal patterns of the heavy precipitation over the Korean peninsula.
Received January 15, 2001 Revised October 8, 2001 |
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