Attribution of Extreme Heatwave Events to Anthropogenic Climate Forcing

Authors

  • Claire Havlicek Department of Environmental Science and Sustainability, Alpine Institute of Environmental Sciences, Austria Author
  • Alessandro Jonsdottir Department of Environmental Science and Sustainability, Northmoor School of Meteorology and Climate Science, United Kingdom Author
  • Laura Larsen Department of Environmental Science and Sustainability, Iberian University Center for Environmental Sustainability, Spain Author

DOI:

https://doi.org/10.5281/zenodo.22794292

Keywords:

extreme event attribution, heatwave, anthropogenic climate forcing, probability ratio, climate model large ensembles, counterfactual climate, fraction of attributable risk, July 2022 heatwave

Abstract

On 19 July 2022 the United Kingdom recorded a national maximum temperature of 40.3 degrees C for the first time,
part of a wider heatwave that affected England, northern France and the Low Countries over 18-19 July. We applied
probabilistic extreme event attribution to this episode, comparing the observed likelihood of an area-averaged daily
maximum temperature exceeding the 2022 threshold over England against its likelihood in a physically consistent
counterfactual world without anthropogenic forcing. Five CMIP6-generation single-model initial-condition large
ensembles (HadGEM3-GC31-LL, CESM2, EC-Earth3, CNRM-CM6-1 and CanESM5), each run under both
all-forcing historical-to-present and natural-only forcing, were combined with a generalised extreme value
distribution fitted to 1961-2022 HadUK-Grid station-gridded observations using smoothed global mean surface
temperature as a covariate. Across the five model ensembles, the probability ratio for equalling or exceeding the
observed threshold ranged from 19 to 71, with a multi-model synthesis estimate of 39 (95% confidence interval
10-190) and an independent observation-based estimate of 28 (7-140), indicating that anthropogenic forcing has
made an event of this magnitude at least an order of magnitude more likely than in the pre-industrial climate, with
the true factor plausibly exceeding one hundred. The associated shift in peak-day temperature attributable to
anthropogenic forcing averaged 3.0 degrees C across models. Regional decomposition showed the attributable
probability ratio was largest over England (39) and smallest over the Iberian Peninsula (14), where a strong
pre-existing hot climatology compresses the statistical rarity of any given absolute threshold. All model ensembles
agreed on the sign and approximate magnitude of the anthropogenic influence despite disagreement in absolute
event rarity, a pattern consistent with previous rapid-attribution studies of comparable events. We discuss the
sensitivity of these estimates to model selection, the choice of counterfactual construction, and the compounding
role of dynamical circulation anomalies that current large ensembles do not attribute separately from
thermodynamic warming, and conclude that the July 2022 heatwave was overwhelmingly attributable to
human-caused climate change even after accounting for this structural uncertainty.

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Published

2023-12-27