Statistics of extremes and estimation of extreme rainfall: II. Empirical investigation of long rainfall records

Koutsoyiannis, D

dc.contributor.author	Koutsoyiannis, D	en
dc.date.accessioned	2014-03-01T01:21:28Z
dc.date.available	2014-03-01T01:21:28Z
dc.date.issued	2004	en
dc.identifier.issn	0262-6667	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16248
dc.subject	Design rainfall	en
dc.subject	Extreme rainfall	en
dc.subject	Generalized extreme value distribution	en
dc.subject	Gumbel distribution	en
dc.subject	Hydrological design	en
dc.subject	Hydrological extremes	en
dc.subject	Probable maximum precipitation	en
dc.subject	Risk	en
dc.subject.classification	Water Resources	en
dc.subject.other	Data reduction	en
dc.subject.other	Geographical regions	en
dc.subject.other	Hydrology	en
dc.subject.other	Statistical methods	en
dc.subject.other	Gumbel distribution	en
dc.subject.other	Rain	en
dc.subject.other	extreme event	en
dc.subject.other	hydrological regime	en
dc.subject.other	rainfall	en
dc.subject.other	risk assessment	en
dc.subject.other	statistical analysis	en
dc.title	Statistics of extremes and estimation of extreme rainfall: II. Empirical investigation of long rainfall records	en
heal.type	journalArticle	en
heal.identifier.primary	10.1623/hysj.49.4.591.54424	en
heal.identifier.secondary	http://dx.doi.org/10.1623/hysj.49.4.591.54424	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In the first part of this study, theoretical analyses showed that the Gumbel distribution is quite unlikely to apply to hydrological extremes and that the extreme value distribution of type II (EV2) is a more consistent choice. Based on these theoretical analyses, an extensive empirical investigation is performed using a collection of 169 of the longest available rainfall records worldwide, each having 100-154 years of data. This verifies the theoretical results. In addition, it shows that the shape parameter of the EV2 distribution is constant for all examined geographical zones (Europe and North America), with value kappa = 0.15. This simplifies the fitting and the general mathematical handling of the distribution, which become as simple as those of the Gumbel distribution.	en
heal.publisher	IAHS PRESS, INST HYDROLOGY	en
heal.journalName	Hydrological Sciences Journal	en
dc.identifier.doi	10.1623/hysj.49.4.591.54424	en
dc.identifier.isi	ISI:000222737000004	en
dc.identifier.volume	49	en
dc.identifier.issue	4	en
dc.identifier.spage	591	en
dc.identifier.epage	610	en