EGU25-3676, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-3676
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 29 Apr, 11:05–11:15 (CEST)
 
Room 1.31/32
Extreme heatwaves in Europe 1950-2021: analysis of the links between meteorology, population, and impacts
Lou Mandonnet1,2, Aglaé Jézéquel1,2, Fabio D'Andrea1, and Améline Vallet3,4
Lou Mandonnet et al.
  • 1Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, Sorbonne Université/CNRS/École Normale Supérieure-PSL Research University/École Polytechnique-IPP, Paris, France
  • 2École des Ponts ParisTech, Cité Descartes, Champs-sur-Marne, France
  • 3Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, 91190, Gif-sur-Yvette, France.
  • 4Université Paris-Saclay, AgroParisTech, CNRS, Ecole des Ponts ParisTech, Cirad, EHESS, UMR CIRED, 94130, Nogent-sur-Marne, France.

Heatwaves have become more frequent and more intense under the influence of climate change, resulting in increased impacts on human health, infrastructure and economic activities. However, heatwaves climatic characteristics do not always inform properly on the actual human and material impacts resulting from heatwaves. In other terms, heatwaves with a high intensity in the climatological sense may not be equivalently as intense in terms of impacts. In this study, we empirically investigate, in Europe, the link between the climatic characteristics of heatwaves and their impacts, as listed in the EM-DAT disaster database. We apply indices available in the literature to characterize heatwaves for the 1950-2021 period found in the ERA5 and E-OBS datasets. We also propose new indices, combining meteorological and demographic data, that we compare to the existing ones, and to the heatwave’s impacts. We show that including demographic data in the heatwaves indices is key to ensure that heatwave climatic indices reflect more accurately the impacts of heatwaves. We also investigate the top 10 heatwaves that are considered extreme based on our best performing index but are not in the impact data-base and find references of their impacts for 8 of them, meaning that this type of methodology could be used to enrich existing impact databases by flagging events of interest.

How to cite: Mandonnet, L., Jézéquel, A., D'Andrea, F., and Vallet, A.: Extreme heatwaves in Europe 1950-2021: analysis of the links between meteorology, population, and impacts, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3676, https://doi.org/10.5194/egusphere-egu25-3676, 2025.