The suitability assessment of a generalized exponential distribution for the description of maximum precipitation amounts

- We determined precipitation amounts for 16 intervals of durations.
- Measurement data was depicted by generalized exponential distribution.
- The parameter estimates were determined by maximization of likelihood functions.
- The Anderson-Darling test was carried out.
- The best of the distributions were determined using a BIC and RRMSE.

SummaryThe paper is a methodological extension of the current description of maximum precipitation amounts on the basis of gamma, Gumbel, lognormal or Weibull distribution to newly developed theoretical distributions, namely, the two-(GED2) and three-parameter (GED3) generalized exponential distribution. The verification is carried out on the basis of meteorological data from the Wroclaw-Strachowice meteorological station of the Institute of Meteorology and Water Management from years 1960-2009.