The extremely hot and dry 2018 summer in central and northern Europe from a multi-faceted weather and climate perspective

Efi Rousi*, Andreas H. Fink*, Lauren S. Andersen, Florian N. Becker, Goratz Beobide-Arsuaga, Marcus Breil, Giacomo Cozzi, Jens Heinke, Lisa Jach, Deborah Niermann, Dragan Petrovic, Andy Richling, Johannes Riebold, Stella Steidl, Laura Suarez-Gutierrez, Jordis S. Tradowsky, Dim Coumou, André Düsterhus, Florian Ellsäßer, Georgios FragkoulidisDaniel Gliksman, Dörthe Handorf, Karsten Haustein, Kai Kornhuber, Harald Kunstmann, Joaquim G. Pinto, Kirsten Warrach-Sagi, Elena Xoplaki

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The summer of 2018 was an extraordinary season in climatological terms for northern and central Europe, bringing simultaneous, widespread, and concurrent heat and drought extremes in large parts of the continent with extensive impacts on agriculture, forests, water supply, and the socio-economic sector. Here, we present a comprehensive, multi-faceted analysis of the 2018 extreme summer in terms of heat and drought in central and northern Europe, with a particular focus on Germany. The heatwave first affected Scandinavia in mid-July and shifted towards central Europe in late July, while Iberia was primarily affected in early August. The atmospheric circulation was characterized by strongly positive blocking anomalies over Europe, in combination with a positive summer North Atlantic Oscillation and a double jet stream configuration before the initiation of the heatwave. In terms of possible precursors common to previous European heatwaves, the Eurasian double-jet structure and a tripolar sea surface temperature anomaly over the North Atlantic were already identified in spring. While in the early stages over Scandinavia the air masses at mid and upper levels were often of a remote, maritime origin, at later stages over Iberia the air masses primarily had a local-to-regional origin. The drought affected Germany the most, starting with warmer than average conditions in spring, associated with enhanced latent heat release that initiated a severe depletion of soil moisture. During summer, a continued precipitation deficit exacerbated the problem, leading to hydrological and agricultural drought. A probabilistic attribution assessment of the heatwave in Germany showed that such events of prolonged heat have become more likely due to anthropogenic global warming. Regarding future projections, an extreme summer such as that of 2018 is expected to occur every 2 out of 3 years in Europe in a +1.5°C warmer world and virtually every single year in a +2°C warmer world. With such large-scale and impactful extreme events becoming more frequent and intense under anthropogenic climate change, comprehensive and multi-faceted studies like the one presented here quantify the multitude of their effects and provide valuable information as a basis for adaptation and mitigation strategies.

Original languageEnglish
Pages (from-to)1699-1718
Number of pages20
JournalNatural Hazards and Earth System Sciences
Volume23
Issue number5
Early online date8 May 2023
DOIs
Publication statusPublished - May 2023

Bibliographical note

Funding Information:
This research has been supported by the Bundesministerium für Bildung und Forschung (grant nos. 01LP1901A, 01LP1901C, 01LP191D, 01LP1901E, 01LP1901F, 01LP1902F, 01LP1903J, 01LP1902D, 01LP1902N, 01LP1903C, 01LP1902B, and 01LP1904A), the Marine Institute (grant no. PBA/CC/18/01), the Deutsche Forschungsgemeinschaft (grant no. 445572993), the European Union’s Horizon Europe Framework Programme under the Marie Skłodowska-Curie Actions (grant no. 101064940), the H2020 project CLINT, the Academy of Athens, the Greek National Network on Climate Change and its Impact (grant no. 200/937), and the AXA Research Fund ( https://axa-research.org/en/project/joaquim-pinto , last access: 29 April 2023). The article processing charges for this open-access publication were covered by the Potsdam Institute for Climate Impact Research (PIK).

Funding Information:
This paper is a collaborative effort within the BMBF ClimXtreme project, for which the authors acknowledge funding (grant nos. 01LP1901A, 01LP1901C, 01LP191D, 01LP1901E, 01LP1901F, 01LP1902F, 01LP1903J, 01LP1902D, 01LP1902N, 01LP1903C, 01LP1902B, 01LP1904A). Laura Suarez-Gutierrez also received funding from the European Union’s Horizon Europe Framework Programme under the Marie Skłodowska-Curie Actions (grant agreement no. 101064940). André Düsterhus is supported by A4, funded by the Marine Institute (grant no. PBA/CC/18/01). Elena Xoplaki acknowledges support by the H2020 Project CLINT, the Academy of Athens, and the Greek National Network on Climate Change and its Impact (200/937). Georgios Fragkoulidis acknowledges the support of the German Research Foundation (DFG; project no. 445572993). Joaquim G. Pinto thanks the AXA Research Fund for support. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making their model output available, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. We acknowledge the E-OBS dataset from the EU-FP6 project UERRA ( http://www.uerra.eu , last access: 19 August 2022) and the Copernicus Climate Change Service, as well as the data providers in the ECA&D project ( https://www.ecad.eu , last access: 19 August 2022). This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project bb1152. Parts of the data were accessed through the XCES community evaluation system based on Freva technology (Kadow et al., 2021). We thank the two anonymous reviewers for their constructive feedback that substantially improved the manuscript.

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Funding

This research has been supported by the Bundesministerium für Bildung und Forschung (grant nos. 01LP1901A, 01LP1901C, 01LP191D, 01LP1901E, 01LP1901F, 01LP1902F, 01LP1903J, 01LP1902D, 01LP1902N, 01LP1903C, 01LP1902B, and 01LP1904A), the Marine Institute (grant no. PBA/CC/18/01), the Deutsche Forschungsgemeinschaft (grant no. 445572993), the European Union’s Horizon Europe Framework Programme under the Marie Skłodowska-Curie Actions (grant no. 101064940), the H2020 project CLINT, the Academy of Athens, the Greek National Network on Climate Change and its Impact (grant no. 200/937), and the AXA Research Fund ( https://axa-research.org/en/project/joaquim-pinto , last access: 29 April 2023). The article processing charges for this open-access publication were covered by the Potsdam Institute for Climate Impact Research (PIK). This paper is a collaborative effort within the BMBF ClimXtreme project, for which the authors acknowledge funding (grant nos. 01LP1901A, 01LP1901C, 01LP191D, 01LP1901E, 01LP1901F, 01LP1902F, 01LP1903J, 01LP1902D, 01LP1902N, 01LP1903C, 01LP1902B, 01LP1904A). Laura Suarez-Gutierrez also received funding from the European Union’s Horizon Europe Framework Programme under the Marie Skłodowska-Curie Actions (grant agreement no. 101064940). André Düsterhus is supported by A4, funded by the Marine Institute (grant no. PBA/CC/18/01). Elena Xoplaki acknowledges support by the H2020 Project CLINT, the Academy of Athens, and the Greek National Network on Climate Change and its Impact (200/937). Georgios Fragkoulidis acknowledges the support of the German Research Foundation (DFG; project no. 445572993). Joaquim G. Pinto thanks the AXA Research Fund for support. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making their model output available, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. We acknowledge the E-OBS dataset from the EU-FP6 project UERRA ( http://www.uerra.eu , last access: 19 August 2022) and the Copernicus Climate Change Service, as well as the data providers in the ECA&D project ( https://www.ecad.eu , last access: 19 August 2022). This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project bb1152. Parts of the data were accessed through the XCES community evaluation system based on Freva technology (Kadow et al., 2021). We thank the two anonymous reviewers for their constructive feedback that substantially improved the manuscript.

FundersFunder number
Academy of Athens
European Union’s Horizon Europe Framework Programme
Greek National Network on Climate Change200/937
Horizon 2020 Framework Programme
H2020 Marie Skłodowska-Curie Actions101064940
H2020 Marie Skłodowska-Curie Actions
HORIZON EUROPE Framework Programme
Marine InstitutePBA/CC/18/01
Marine Institute
Deutsche Forschungsgemeinschaft445572993
Deutsche Forschungsgemeinschaft
AXA Research Fund
Bundesministerium für Bildung und Forschung01LP1901F, 01LP1903J, 01LP1902N, 01LP1904A, 01LP191D, 01LP1901A, 01LP1902B, 01LP1903C, 01LP1901C, 01LP1902D, 01LP1901E, 01LP1902F
Bundesministerium für Bildung und Forschung

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