The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project

Vautard, Robert; Gobiet, Andreas; Jacob, Daniela; Belda, Michal; Colette, Augustin; Déqué, Michel; Fernández, Jesús Fernández; García-Díez, Markel; Goergen, Klaus; Güttler, Ivan; Halenka, Tomáš; Karacostas, T.; Katragkou, Eleni; Keuler, Klaus; Kotlarski, Sven; Mayer, Stephanie; Meijgaard, E. van; Nikulin, Grigory; Patarčić, Mirta; Scinocca, John; Sobolowski, Stefan; Suklitsch, Martin; Teichmann, Claas; Warrach‐Sagi, Kirsten; Wulfmeyer, Volker; Yiou, Pascal

doi:10.1007/s00382-013-1714-z

Cited by 320 publications

(290 citation statements)

References 80 publications

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“…Such is, for instance, the case of heat waves in Europe (Vautard et al 2013). These biases add to those already present in boundary conditions provided by the GCMs.…”

Section: Regional Climate Projectionsmentioning

confidence: 99%

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Regional Climate Projections

Vautard

2018

Weather &Amp; Climate Services for the Energy Industry

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When designing adaptation and mitigation measures of climate change for the coming decades and up to the middle of the century, policymakers and industries must rely upon climate information that is at an appropriate scale to evaluate impacts, vulnerabilities and risks due to changes in climate. It is, therefore, essential that the quantitative information on the climate and its impacts is reliable. Reliable quantitative information about climate change impacts must also be available. This includes estimations of uncertainty bounds. In the current state of knowledge, technology and structure of scientific communities, climate change impact studies are achieved from a suite of models: global earth system models, with a generally low-resolution (100-300 km), regional limited-area climate models with a higher resolution (10-50 km), which take their boundary conditions from global models and impact models calculating how changes in weather, ocean and biogeochemical cycles affect the system to be adapted.

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“…Such is, for instance, the case of heat waves in Europe (Vautard et al 2013). These biases add to those already present in boundary conditions provided by the GCMs.…”

Section: Regional Climate Projectionsmentioning

confidence: 99%

“…This has a clear benefit for use in climate projections for studying applications such as winter tourism or mountain ecosystem impacts. By contrast, no added value of higher resolution was found for larger-scale phenomena such as heat waves (Vautard et al 2013). …”

Section: Regional Climate Projectionsmentioning

confidence: 99%

Regional Climate Projections

Vautard

2018

Weather &Amp; Climate Services for the Energy Industry

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“…Während aber bei der Wettervorhersage Wechselwirkungen mit langsam veränderlichen Komponenten des Klimasystems -wie Boden, Vegetation, Gletscher, Ozeanen, Städten oder Aerosolen -nicht oder stark vereinfacht behandelt werden können, erfordern Simulationen auf der Klimazeitskala eine detailliertere Berücksichtigung. Ein Beispiel sind die Wechselwirkungen zwischen Boden und Atmosphäre in Europa während des Sommers, die das Klima in dieser Jahreszeit entscheidend beeinflussen (Seneviratne et al 2006;Vautard et al 2013 (Giorgi und Mearns 1999).…”

Section: Anforderungen An Modelleunclassified

“…Eine sogenannte Zweiwegekopplung hebt den Unterschied zwischen dem angetriebenen Regionalmodell und dem antreibenden Modell teilweise auf, indem das Regionalmodell auch das Globalmodell beeinflusst (Giorgi und Mearns 1999;Rummukainen 2010 (Giorgi und Mearns 1999;Vautard et al 2013). …”

Section: Anforderungen An Modelleunclassified

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Grenzen und Herausforderungen der regionalen Klimamodellierung

Dobler

Feldmann

Ulbrich

et al. 2016

Klimawandel in Deutschland

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Uncertainties in future ozone and PM10 projections over Europe from a regional climate multiphysics ensemble

Jiménez‐Guerrero

Jerez

Montávez

et al. 2013

Geophysical Research Letters

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[1] Due to the computational time required for modeling air quality climatologies, the characterization of processes introducing the largest uncertainty in air quality-climate projections is a sound field of research. Here an air quality ensemble is assessed over Europe for present and future (2071-2100, SRES A2) periods to characterize the sensitivity of regional air quality projections to the physics of the regional climate model driving the simulations. The ensemble comprises eight members resulting from combining two options of parameterization schemes for the planetary boundary layer, cumulus, and microphysics. The differences in the ensemble members (spread) for the concentration of tropospheric ozone and particulate matter (PM10) are strongly affected by the physics selected and could be considered as a matter of uncertainty in the change signals. Also, the leading processes causing the largest uncertainties in air quality projections have been identified and are mainly related to the election of the cumulus schemes. Citation: Jiménez-Guerrero, P., S. Jerez, J. P. Montávez, and, R. M. Trigo (2013), Uncertainties in future ozone and PM10 projections over Europe from a regional climate multiphysics ensemble, Geophys. Res. Lett., 40,[5764][5765][5766][5767][5768][5769]

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The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project

Cited by 320 publications

References 80 publications

Regional Climate Projections

Regional Climate Projections

Grenzen und Herausforderungen der regionalen Klimamodellierung

Uncertainties in future ozone and PM10 projections over Europe from a regional climate multiphysics ensemble

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