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 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.

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Year of publication:	2008
Authors:	Siliverstovs, Boriss ; Ötsch, Rainald ; Kemfert, Claudia ; Jaeger, Carlo ; Haas, Armin ; Kremers, Hans
Institutions:	DIW Berlin (Deutsches Institut für Wirtschaftsforschung)
Subject:	Climate change \| GEV \| Bayesian modelling \| Great Alpine Heat Wave

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Extent:	application/pdf
Series:	Discussion Papers of DIW Berlin. - ISSN 1619-4535.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 840 19 pages long
Classification:	Q54 - Climate; Natural Disasters ; C11 - Bayesian Analysis
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10004963698