Was the Cold European Winter of 2009/10 Modified by Anthropogenic Climate Change? An Attribution Study

Author:

Christiansen Bo1ORCID,Alvarez-Castro Carmen2,Christidis Nikolaos3,Ciavarella Andrew3,Colfescu Ioana4,Cowan Tim5,Eden Jonathan6,Hauser Mathias7,Hempelmann Nils2,Klehmet Katharina8,Lott Fraser3,Nangini Cathy2,Jan van Oldenborgh Geert6,Orth René7,Stott Peter3,Tett Simon5,Vautard Robert2,Wilcox Laura9,Yiou Pascal2

Affiliation:

1. Danish Meteorological Institute, Copenhagen, Denmark

2. Laboratoire des Sciences du Climat et de l’Environnement, L’Institut Pierre-Simon Laplace, Université Paris-Saclay, Gif sur Yvette, France

3. Met Office Hadley Centre, Exeter, United Kingdom

4. National Centre for Atmospheric Science, University of Leeds, Leeds, United Kingdom

5. School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom

6. Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands

7. Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland

8. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany

9. Department of Meteorology, University of Reading, Reading, United Kingdom

Abstract

An attribution study has been performed to investigate the degree to which the unusually cold European winter of 2009/10 was modified by anthropogenic climate change. Two different methods have been included for the attribution: one based on large HadGEM3-A ensembles and one based on a statistical surrogate method. Both methods are evaluated by comparing simulated winter temperature means, trends, standard deviations, skewness, return periods, and 5% quantiles with observations. While the surrogate method performs well, HadGEM3-A in general underestimates the trend in winter by a factor of ⅔. It has a mean cold bias dominated by the mountainous regions and also underestimates the cold 5% quantile in many regions of Europe. Both methods show that the probability of experiencing a winter as cold as 2009/10 has been reduced by approximately a factor of 2 because of anthropogenic changes. The method based on HadGEM3-A ensembles gives somewhat larger changes than the surrogate method because of differences in the definition of the unperturbed climate. The results are based on two diagnostics: the coldest day in winter and the largest continuous area with temperatures colder than twice the local standard deviation. The results are not sensitive to the choice of bias correction except in the mountainous regions. Previous results regarding the behavior of the measures of the changed probability have been extended. The counterintuitive behavior for heavy-tailed distributions is found to hold for a range of measures and for events that become more rare in a changed climate.

Funder

FP7 Space

European Research Council

Publisher

American Meteorological Society

Subject

Atmospheric Science

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