Conditional and residual trends of singular hot days in Europe

The influence of anthropogenic climate change on both mean and extremely hot temperatures in Europe has been demonstrated in a number of studies. There is a growing consensus that high temperature extremes have increased more rapidly than the regional mean in central Europe, while the difference bet...

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Main Authors: Aglaé Jézéquel, Emanuele Bevacqua, Fabio d’Andrea, Soulivanh Thao, Robert Vautard, Mathieu Vrac, Pascal Yiou
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ab76dd
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author Aglaé Jézéquel
Emanuele Bevacqua
Fabio d’Andrea
Soulivanh Thao
Robert Vautard
Mathieu Vrac
Pascal Yiou
author_facet Aglaé Jézéquel
Emanuele Bevacqua
Fabio d’Andrea
Soulivanh Thao
Robert Vautard
Mathieu Vrac
Pascal Yiou
author_sort Aglaé Jézéquel
collection DOAJ
description The influence of anthropogenic climate change on both mean and extremely hot temperatures in Europe has been demonstrated in a number of studies. There is a growing consensus that high temperature extremes have increased more rapidly than the regional mean in central Europe, while the difference between extreme and mean trends is not significant in other European regions. However, it is less clear how to quantify the changes in different processes leading to heat extremes. Extremely hot temperatures are associated to a large extent with specific types of atmospheric circulation. Here we investigate how the temperature associated with atmospheric patterns leading to extremely hot days in the present could evolve in the future. We propose a methodology to calculate conditional trends tailored to the circulation patterns of specific days by computing the evolution of the temperature for days with a similar circulation to the day of interest. We also introduce the concept of residual trends, which compare the conditional trends to regional mean temperature trends. We compute these trends for two case studies of the hottest days recorded in two different European regions (corresponding to the heat-waves of summer 2003 and 2010). We use the NCEP reanalysis dataset, an ensemble of CMIP5 models, and a large ensemble of a single coupled model (CESM), in order to account for different sources of uncertainty. We also evaluate how bias correction of climate simulations influences the results.
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spelling doaj.art-a4ed60f24c3940a881f0f8a209cb7e2d2023-08-09T15:05:09ZengIOP PublishingEnvironmental Research Letters1748-93262020-01-0115606401810.1088/1748-9326/ab76ddConditional and residual trends of singular hot days in EuropeAglaé Jézéquel0https://orcid.org/0000-0002-0957-3126Emanuele Bevacqua1https://orcid.org/0000-0003-0472-5183Fabio d’Andrea2Soulivanh Thao3https://orcid.org/0000-0003-3461-8522Robert Vautard4https://orcid.org/0000-0001-5544-9903Mathieu Vrac5Pascal Yiou6LMD/IPSL, ENS, PSL Université, École Polytechnique, Institut Polytechnique de Paris, Sorbonne Université, CNRS, Paris, France; Ecole des Ponts, Marne-la-Vallée, FranceDepartment of Meteorology, University of Reading, Reading, United KingdomLMD/IPSL, ENS, PSL Université, École Polytechnique, Institut Polytechnique de Paris, Sorbonne Université, CNRS, Paris, FranceLaboratoire des Sciences du Climat et de l’Environnement, UMR8212 CEA-CNRS-UVSQ, IPSL & U Paris-Saclay, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l’Environnement, UMR8212 CEA-CNRS-UVSQ, IPSL & U Paris-Saclay, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l’Environnement, UMR8212 CEA-CNRS-UVSQ, IPSL & U Paris-Saclay, 91191 Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l’Environnement, UMR8212 CEA-CNRS-UVSQ, IPSL & U Paris-Saclay, 91191 Gif-sur-Yvette, FranceThe influence of anthropogenic climate change on both mean and extremely hot temperatures in Europe has been demonstrated in a number of studies. There is a growing consensus that high temperature extremes have increased more rapidly than the regional mean in central Europe, while the difference between extreme and mean trends is not significant in other European regions. However, it is less clear how to quantify the changes in different processes leading to heat extremes. Extremely hot temperatures are associated to a large extent with specific types of atmospheric circulation. Here we investigate how the temperature associated with atmospheric patterns leading to extremely hot days in the present could evolve in the future. We propose a methodology to calculate conditional trends tailored to the circulation patterns of specific days by computing the evolution of the temperature for days with a similar circulation to the day of interest. We also introduce the concept of residual trends, which compare the conditional trends to regional mean temperature trends. We compute these trends for two case studies of the hottest days recorded in two different European regions (corresponding to the heat-waves of summer 2003 and 2010). We use the NCEP reanalysis dataset, an ensemble of CMIP5 models, and a large ensemble of a single coupled model (CESM), in order to account for different sources of uncertainty. We also evaluate how bias correction of climate simulations influences the results.https://doi.org/10.1088/1748-9326/ab76ddclimate changeextreme eventsthermodynamicsdynamicsattribution
spellingShingle Aglaé Jézéquel
Emanuele Bevacqua
Fabio d’Andrea
Soulivanh Thao
Robert Vautard
Mathieu Vrac
Pascal Yiou
Conditional and residual trends of singular hot days in Europe
Environmental Research Letters
climate change
extreme events
thermodynamics
dynamics
attribution
title Conditional and residual trends of singular hot days in Europe
title_full Conditional and residual trends of singular hot days in Europe
title_fullStr Conditional and residual trends of singular hot days in Europe
title_full_unstemmed Conditional and residual trends of singular hot days in Europe
title_short Conditional and residual trends of singular hot days in Europe
title_sort conditional and residual trends of singular hot days in europe
topic climate change
extreme events
thermodynamics
dynamics
attribution
url https://doi.org/10.1088/1748-9326/ab76dd
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