D. Koutsoyiannis, Exploration of long records of extreme rainfall and design rainfall inferences, Hydrology: Science and Practice for the 21st Century, edited by B. Webb, N. Arnell, C. Onof, N. MacIntire, R. Gurney, and C. Kirby, London, I, 148–157, doi:10.13140/RG.2.1.1190.1681, British Hydrological Society, 2004.
Long records of annual maximum daily rainfall from Europe and the USA, with lengths exceeding 100 years, are statistically analysed to investigate the adequacy of typical extreme value distributions for extreme rainfall and their effect on design rainfall amounts. Statistical analyses show that the conventionally employed Extreme Value Type I (EV1 or Gumbel) distribution may yield inappropriate extrapolations for the upper tail of distribution function of extreme rainfall, whereas this distribution would seem as an appropriate model if fewer years of measurements were available (i.e., parts of the long records were used). In contrast, the extreme value type II (EV2) distribution appears to be suitable for the examined long series. Thus, the results of the analyses agree with a recently expressed scepticism about the EV1 distribution which tends to underestimate the largest extreme rainfall amounts.
Other works that reference this work (this list might be obsolete):
|1.||Benkhaled, A., Distributions statistiques des pluies maximales annuelles dans la region du Cheliff, Comparaison des techniques et des resultats [Statistical distributions of annual maximum rainfalls depths in the area of Cheliff, Comparison of techniques and results], Courrier du Savoir, 8, 83-91, 2007.|
|2.||Neville, S. E., M. J. Palmer and M. P. Wand, Generalized extreme value additive model analysis via mean field variational Bayes, Australian & New Zealand Journal of Statistics, 53, 305–330, 2011.|