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UTCI climatology and its future change in Germany – an RCM ensemble approach

Brecht, Benedict Manuel 1; Schädler, Gerd 1; Schipper, Janus Willem 1
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

n the present study, the quantity, duration and intensity of heat stress events in Germany as well as their future change and relation with weather types were investigated. A small ensemble of regional climate simulations with the regional climate model (RCM) COSMO-CLM driven by four general circulation models (GCMs) was used to calculate the Universal Thermal Climate Index (UTCI); the UTCI is a well-accepted thermal comfort index which we use here to quantify thermal stress. The variables entering the UTCI were bias corrected with a method that preserves their interdependencies. The projected climate changes cause a significant increase of both the mean UTCI and the number, duration and intensity of heat stress events between the control period (1981–2000) and the projection period (2031–2050). The projected future hourly frequency distribution of the UTCI at a location can be described by a shift to higher UTCI values with an almost constant shape of distribution. The investigations of the projected changes in weather types show no significant changes between the periods covered, with a few exceptions. An exception concerning heat stress events is the increase of summer anticyclonic weather types. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000124173
Veröffentlicht am 02.10.2020
Originalveröffentlichung
DOI: 10.1127/metz/2020/1010
Scopus
Zitationen: 16
Web of Science
Zitationen: 13
Dimensions
Zitationen: 18
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 04.08.2020
Sprache Englisch
Identifikator ISSN: 0941-2948
KITopen-ID: 1000124173
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Meteorologische Zeitschrift
Verlag Borntraeger Science Publishers
Band 29
Heft 2
Seiten 97–116
Schlagwörter heat stress, UTCI, COSMO-CLM, climate ensemble, multivariate bias correction, climate change
Nachgewiesen in Web of Science
Dimensions
Scopus
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