A probabilistic view of Hershfield's method for estimating probable maximum precipitation

Koutsoyiannis, D

dc.contributor.author	Koutsoyiannis, D	en
dc.date.accessioned	2014-03-01T01:14:20Z
dc.date.available	2014-03-01T01:14:20Z
dc.date.issued	1999	en
dc.identifier.issn	0043-1397	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13008
dc.subject	Probable Maximum Precipitation	en
dc.subject.classification	Environmental Sciences	en
dc.subject.classification	Limnology	en
dc.subject.classification	Water Resources	en
dc.subject.other	estimation method	en
dc.subject.other	precipitation (climatology)	en
dc.subject.other	statistical analysis	en
dc.title	A probabilistic view of Hershfield's method for estimating probable maximum precipitation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1029/1999WR900002	en
heal.identifier.secondary	http://dx.doi.org/10.1029/1999WR900002	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	A simple alternative formulation of Hershfield's statistical method for estimating probable maximum precipitation (PMP) is proposed. Specifically, it is shown that the published Hershfield data do not support the hypothesis that there exists a PMP as a physical upper limit, and therefore a purely probabilistic treatment of the data is more consistent. In addition, using the same data set, it is shown that Hershfield's estimate of PMP may be obtained using the generalized extreme value (GEV) distribution with shape parameter given as a specified linear function of the average value of annual maximum precipitation series and for return period of about 60,000 years. This formulation substitutes completely the standard empirical nomograph that is used for the application of the method. The application of the method can be improved when long series of local rainfall data are available that support an accurate estimation of the shape parameter of the GEV distribution.	en
heal.publisher	Druckmaschinen Gmbh Leipzig, Leipzig, Germany	en
heal.journalName	Water Resources Research	en
dc.identifier.doi	10.1029/1999WR900002	en
dc.identifier.isi	ISI:000079430100032	en
dc.identifier.volume	35	en
dc.identifier.issue	4	en
dc.identifier.spage	1313	en
dc.identifier.epage	1322	en