Asymmetric European summer heat predictability from wet and dry southern winters and springs

Benjamin Quesada, Robert Vautard, Pascal Yiou, Martin Hirschi, Sonia I. Seneviratne

Research output: Contribution to journalArticlepeer-review

191 Scopus citations


The mega heatwaves that struck western Europe in 2003 (ref.) and Russia in 2010 (ref. ) are thought to provide a foretaste of future European summer climate. Our ability to anticipate such events remains poor, limiting adequate society adaptation. A deficit of precipitation in the preceding months favours summer heatwaves, but the potential predictability from spring surface-moisture deficits, addressed in only a few case studies, largely remains to be investigated. By analysing 64 years of observed temperature and precipitation we show that rainy winter/spring seasons over southern Europe inhibit hot summer days whereas dry seasons are followed by either a high or a low frequency of hot days, generalizing findings obtained over southeastern Europe. Observations indicate that summer heat is more sensitive to the occurrence of specific weather regimes in initially dry cases than wet cases, inducing this asymmetry in summer heat predictability. Then, simulations from the Coupled Model Intercomparison Project (ref. and J-L., Dufresne, manuscript in preparation) indicate that projected drier conditions over southern Europe are likely to induce a widening in the frequency distribution of hot summer days, as the wet winter/spring seasons are likely to become rare. These mechanisms are found to play an increasingly important role in coming decades, with more hot extremes and a modified hot-day predictability.

Original languageEnglish (US)
Pages (from-to)736-741
Number of pages6
JournalNature Climate Change
Issue number10
StatePublished - Oct 1 2012
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Environmental Science (miscellaneous)
  • Social Sciences (miscellaneous)


Dive into the research topics of 'Asymmetric European summer heat predictability from wet and dry southern winters and springs'. Together they form a unique fingerprint.

Cite this