Climate change and modelling of extreme temperatures in Switzerland

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Climate change and modelling of extreme temperatures in Switzerland. / Siliverstovs, Boriss; Ötsch, Reinald; Kemfert, Claudia et al.

In: Stochastic Environmental Research and Risk Assessment, Vol. 24, No. 2, 02.2010, p. 311-326.

Research output: Journal contributionsJournal articlesResearchpeer-review

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Siliverstovs B, Ötsch R, Kemfert C, Jaeger CC, Haas A, Kremers H. Climate change and modelling of extreme temperatures in Switzerland. Stochastic Environmental Research and Risk Assessment. 2010 Feb;24(2):311-326. doi: 10.1007/s00477-009-0321-3

Bibtex

@article{4e830259ba29427db6bcb1edcd4b63cc,
title = "Climate change and modelling of extreme temperatures in Switzerland",
abstract = "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.",
keywords = "Economics, Climate change, GEV, Bayesian modelling, Great Alpine heat wave",
author = "Boriss Siliverstovs and Reinald {\"O}tsch and Claudia Kemfert and Jaeger, {Carlo C.} and Armin Haas and Hans Kremers",
year = "2010",
month = feb,
doi = "10.1007/s00477-009-0321-3",
language = "English",
volume = "24",
pages = "311--326",
journal = "Stochastic Environmental Research and Risk Assessment",
issn = "1436-3240",
publisher = "Springer-Verlag GmbH and Co. KG",
number = "2",

}

RIS

TY - JOUR

T1 - Climate change and modelling of extreme temperatures in Switzerland

AU - Siliverstovs, Boriss

AU - Ötsch, Reinald

AU - Kemfert, Claudia

AU - Jaeger, Carlo C.

AU - Haas, Armin

AU - Kremers, Hans

PY - 2010/2

Y1 - 2010/2

N2 - 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.

AB - 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.

KW - Economics

KW - Climate change

KW - GEV

KW - Bayesian modelling

KW - Great Alpine heat wave

U2 - 10.1007/s00477-009-0321-3

DO - 10.1007/s00477-009-0321-3

M3 - Journal articles

VL - 24

SP - 311

EP - 326

JO - Stochastic Environmental Research and Risk Assessment

JF - Stochastic Environmental Research and Risk Assessment

SN - 1436-3240

IS - 2

ER -