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Estimating extremes in climate change simulations using the peaks-over-threshold method with a non-stationary threshold

SYSNO ASEP	0350579
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Estimating extremes in climate change simulations using the peaks-over-threshold method with a non-stationary threshold
Author(s)	Kyselý, Jan (UFA-U)_{RID, ORCID} Picek, J. (CZ) Beranová, Romana (UFA-U)_{RID, ORCID}
Source Title	Global and Planetary Change. - : Elsevier - ISSN 0921-8181 Roč. 72, 1-2 (2010), s. 55-68
Number of pages	14 s.
Language	eng - English
Country	NL - Netherlands
Keywords	climate change ; extreme value analysis ; global climate models ; peaks-over-threshold method ; peaks-over-quantile regression ; quantile regression ; Poisson process ; extreme temperatures
Subject RIV	DG - Athmosphere Sciences, Meteorology
R&D Projects	GA205/06/1535 GA ČR - Czech Science Foundation (CSF)
	GAP209/10/2045 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z30420517 - UFA-U, BC-A (2005-2011)
UT WOS	000279889600007
DOI	10.1016/j.gloplacha.2010.03.006
Annotation	The paper presents a methodology for estimating high quantiles of distributions of daily temperature in a non-stationary context, based on peaks-over-threshold analysis with a time-dependent threshold expressed in terms of regression quantiles. The extreme value models are applied to estimate 20-yr return values of maximum daily temperature over Europe in transient global climate model (GCM) simulations for the 21st century. The method also allows splitting the projected warming of extremely high quantiles into two parts that reflect change in the location and scale of the distribution of extremes, respectively.
Workplace	Institute of Atmospheric Physics
Contact	Kateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019
Year of Publishing	2011

Number of the records: 1