EconStor >
Deutsches Institut für Wirtschaftsforschung (DIW), Berlin >
DIW Diskussionspapiere >

Please use this identifier to cite or link to this item:

Full metadata record

DC FieldValueLanguage
dc.contributor.authorSiliverstovs, Borissen_US
dc.contributor.authorÖtsch, Rainalden_US
dc.contributor.authorKemfert, Claudiaen_US
dc.contributor.authorJaeger, Carloen_US
dc.contributor.authorHaas, Arminen_US
dc.contributor.authorKremers, Hansen_US
dc.description.abstractThis study models maximum temperatures in Switzerland monitored in twelve locations using the Generalised Extreme Value (GEV) distribution. The parameters of the GEV distribution are determined within a Bayesian framework. We find that the parameters of the underlying distribution underwent a substantial change in the beginning of the 1980s. This change is characterised by an increase both in the level and the variability. We assess the likelihood of a heat wave of the Summer of 2003 using the fitted GEV distribution by accounting for the presence of a structural break. The estimation results do suggest that the heat wave of 2003 appears not that statistically improbable event as it is generally accepted in the relevant literature.en_US
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlinen_US
dc.relation.ispartofseriesDiscussion papers // German Institute for Economic Research 840en_US
dc.subject.keywordClimate changeen_US
dc.subject.keywordBayesian modellingen_US
dc.subject.keywordGreat Alpine Heat Waveen_US
dc.subject.stwStatistische Verteilungen_US
dc.titleClimate change and modelling of extreme temperatures in Switzerlanden_US
dc.typeWorking Paperen_US
Appears in Collections:DIW Diskussionspapiere
Publikationen von Forscherinnen und Forschern des DIW Berlin

Files in This Item:
File Description SizeFormat
588034533.PDF438.89 kBAdobe PDF
No. of Downloads: Counter Stats
Show simple item record
Download bibliographical data as: BibTeX

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.