Modelling maximum precipitation in a mountainous area of Greece under global warming

Panagoulia, D; Caroni, C

dc.contributor.author	Panagoulia, D	en
dc.contributor.author	Caroni, C	en
dc.date.accessioned	2014-03-01T02:53:21Z
dc.date.available	2014-03-01T02:53:21Z
dc.date.issued	2011	en
dc.identifier.issn	01447815	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36264
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-81755182749&partnerID=40&md5=09bd09d92ae12610c6d1f8388b3b4030	en
dc.subject	Annual maximum precipitation	en
dc.subject	Generalized extreme value distribution	en
dc.subject	Global wanning	en
dc.subject	Greece	en
dc.subject	Likelihood ratio tests	en
dc.subject	Maximum likelihood	en
dc.subject	Non-stationarity	en
dc.subject.other	Annual maximum precipitation	en
dc.subject.other	Generalized extreme value distribution	en
dc.subject.other	Global wanning	en
dc.subject.other	Greece	en
dc.subject.other	Likelihood ratio tests	en
dc.subject.other	Non-stationarities	en
dc.subject.other	Carbon dioxide	en
dc.subject.other	Catchments	en
dc.subject.other	Climatology	en
dc.subject.other	Global warming	en
dc.subject.other	Rain	en
dc.subject.other	Random processes	en
dc.subject.other	Stochastic models	en
dc.subject.other	Maximum likelihood	en
dc.subject.other	annual variation	en
dc.subject.other	atmospheric general circulation model	en
dc.subject.other	fuzzy mathematics	en
dc.subject.other	global warming	en
dc.subject.other	maximum likelihood analysis	en
dc.subject.other	mountain region	en
dc.subject.other	optimization	en
dc.subject.other	precipitation intensity	en
dc.subject.other	regional climate	en
dc.subject.other	stochasticity	en
dc.subject.other	Greece	en
dc.subject.other	Mesochora	en
dc.subject.other	Thessaly	en
dc.subject.other	Trikala	en
dc.title	Modelling maximum precipitation in a mountainous area of Greece under global warming	en
heal.type	conferenceItem	en
heal.publicationDate	2011	en
heal.abstract	We investigated the fit of generalized extreme value (GEV) distributions to maximum precipitation over the Mesochora mountainous catchment in central-western Greece under present and future climate scenarios. Precipitation was modelled as a stochastic process coupled with atmospheric circulation models. Automated objective classification based on optimized fuzzy rules was used to classify observed circulation patterns (CPs) and ECHAM4 General Circulation Model-generated CPs for 1×CO2 and 2×CO 2 climate scenarios. The GEV distribution was fitted by maximum likelihood, allowing for non-stationarity over time in its location and scale parameters. The stationary model was adequate for historical data on annual daily maxima for 1972-1992 and also for 1×CO2 for the period 1961-2000. However, the 2×CO2 series for 2061-2100 required a cubic time trend in location to obtain a satisfactory fit (P<0.0001 by likelihood ratio test). This series declined to a minimum around 2080, followed by an increase to a maximum around 2092, and subsequently a further decline. © 2011 IAHS Press.	en
heal.journalName	IAHS-AISH Publication	en
dc.identifier.volume	344	en
dc.identifier.spage	176	en
dc.identifier.epage	181	en