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Climate change and modelling of extreme temperatures in Switzerland

  • This 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 the heat wave of the summer 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 is not that statistically improbable if an appropriate methodology is used for dealing with nonstationarity.

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Author details:Boriss Siliverstovs, Rainald Ötsch, Claudia Kemfert, Carlo JaegerORCiDGND, Armin Haas, Hans Kremers
URL:http://www.springerlink.com/content/103283
DOI:https://doi.org/10.1007/s00477-009-0321-3
ISSN:1436-3240
Publication type:Article
Language:English
Year of first publication:2010
Publication year:2010
Release date:2017/03/25
Source:Stochastic environmental research and risk assessment. - ISSN 1436-3240. - 24 (2010), 2, S. 311 - 326
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften
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