Preprints
https://doi.org/10.5194/egusphere-2026-5426
https://doi.org/10.5194/egusphere-2026-5426
07 Oct 2026
 | 07 Oct 2026
Status: this preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).

Dynamical adjustment and observational constraints to estimate recent forced European warming

Enora Cariou, Julien Cattiuaux, Saïd Qasmi, and Aurélien Ribes

Abstract. Europe has experienced rapid warming in recent decades. Previous studies have shown that changes in atmospheric circulation can explain part of this warming, but whether these dynamical changes are driven by internal variability or by external forcings remains unclear. In this study, we provide an estimate of the forced dynamical response over the 1979–2024 period, combining dynamical adjustment and observational constraint methods. While non-dynamical processes account for most of the observed warming, we show that the dynamical component also contains a non-negligible positive forced contribution. Overall, by incorporating dynamical information into observational constraints, we provide a new estimate of the future European warming, but find that this addition does not substantially reduce the uncertainty in climate projections.

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Enora Cariou, Julien Cattiuaux, Saïd Qasmi, and Aurélien Ribes

Status: open (until 18 Nov 2026)

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Enora Cariou, Julien Cattiuaux, Saïd Qasmi, and Aurélien Ribes
Enora Cariou, Julien Cattiuaux, Saïd Qasmi, and Aurélien Ribes
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Short summary
Europe has warmed rapidly in recent decades, partly due to changes in atmospheric circulation, but whether these circulation changes arise from natural variability or anthropogenic forcing remains unclear. Here, using neural network and statistical approaches, we quantify the forced and internal contributions to observed and projected dynamical changes. We further use this dynamical information to derive a new estimate of recent and future warming in Europe.
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