Climate change and modelling of extreme temperatures in Switzerland

Research output: Working paperWorking papers

Standard

Climate change and modelling of extreme temperatures in Switzerland. / Siliverstovs, Boriss; Ötsch, Reinald; Kemfert, C. et al.
Berlin: Deutsches Institut für Wirtschaftsforschung (DIW), 2008. (DIW Discussion Papers; No. 840).

Research output: Working paperWorking papers

Harvard

Siliverstovs, B, Ötsch, R, Kemfert, C, Jaeger, CC, Haas, A & Kremers, H 2008 'Climate change and modelling of extreme temperatures in Switzerland' DIW Discussion Papers, no. 840, Deutsches Institut für Wirtschaftsforschung (DIW), Berlin. <http://hdl.handle.net/10419/27363>

APA

Siliverstovs, B., Ötsch, R., Kemfert, C., Jaeger, C. C., Haas, A., & Kremers, H. (2008). Climate change and modelling of extreme temperatures in Switzerland. (DIW Discussion Papers; No. 840). Deutsches Institut für Wirtschaftsforschung (DIW). http://hdl.handle.net/10419/27363

Vancouver

Siliverstovs B, Ötsch R, Kemfert C, Jaeger CC, Haas A, Kremers H. Climate change and modelling of extreme temperatures in Switzerland. Berlin: Deutsches Institut für Wirtschaftsforschung (DIW). 2008 Dec. (DIW Discussion Papers; 840).

Bibtex

@techreport{181cb49fdd864afa92948166d079595c,
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 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.",
keywords = "Economics, climate change, GEV, Bayesian modelling, Great Alpine Heat Wave",
author = "Boriss Siliverstovs and Reinald {\"O}tsch and C. Kemfert and Jaeger, {Carlo C.} and Armin Haas and Hans Kremers",
year = "2008",
month = dec,
language = "English",
series = "DIW Discussion Papers",
publisher = "Deutsches Institut f{\"u}r Wirtschaftsforschung (DIW)",
number = "840",
address = "Germany",
type = "WorkingPaper",
institution = "Deutsches Institut f{\"u}r Wirtschaftsforschung (DIW)",

}

RIS

TY - UNPB

T1 - Climate change and modelling of extreme temperatures in Switzerland

AU - Siliverstovs, Boriss

AU - Ötsch, Reinald

AU - Kemfert, C.

AU - Jaeger, Carlo C.

AU - Haas, Armin

AU - Kremers, Hans

PY - 2008/12

Y1 - 2008/12

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 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.

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 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.

KW - Economics

KW - climate change

KW - GEV

KW - Bayesian modelling

KW - Great Alpine Heat Wave

M3 - Working papers

T3 - DIW Discussion Papers

BT - Climate change and modelling of extreme temperatures in Switzerland

PB - Deutsches Institut für Wirtschaftsforschung (DIW)

CY - Berlin

ER -

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