Preprints
https://doi.org/10.5194/egusphere-2026-2465
https://doi.org/10.5194/egusphere-2026-2465
13 May 2026
 | 13 May 2026
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Subseasonal prediction of compound heat and drought events

Rachel Wai-Ying Wu, Dominik Büeler, Maria Pyrina, Jonathan Day, Adel Imamovic, Vincent Humphrey, and Daniela I.V. Domeisen

Abstract. Compound heat and drought events have severe socio-economic impacts on human health, agriculture and electricity supply. While these compound extremes are projected to intensify under climate change, our understanding of their subseasonal predictability remains limited compared to that of individual heat or drought events. In this study, we evaluate the predictability of compound heat and drought events over Europe using the subseasonal prediction system of the European Centre for Medium-Range Weather Forecasts (ECMWF). We find that the physical coupling between heat and drought contributes up to 10 % towards an increase in forecast skill when heat and drought co-occur, relative to a baseline that assumes independence between extremes. However, in regions where the physical coupling between heat and drought via land-surface interaction is misrepresented, compound skill can be lower than when drought are predicted in isolation. These findings highlight the critical role of accurately simulating land-surface feedbacks to improve the reliability of the subseasonal prediction for compound extremes.

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Rachel Wai-Ying Wu, Dominik Büeler, Maria Pyrina, Jonathan Day, Adel Imamovic, Vincent Humphrey, and Daniela I.V. Domeisen

Status: open (until 24 Jun 2026)

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Rachel Wai-Ying Wu, Dominik Büeler, Maria Pyrina, Jonathan Day, Adel Imamovic, Vincent Humphrey, and Daniela I.V. Domeisen
Rachel Wai-Ying Wu, Dominik Büeler, Maria Pyrina, Jonathan Day, Adel Imamovic, Vincent Humphrey, and Daniela I.V. Domeisen
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Short summary
Compound heat-drought events threaten health, agriculture, and energy. Using ECMWF sub-seasonal hindcasts, we find that physical coupling increases forecast skill by ~10 % relative to assuming event independence. However, skill drops significantly where land-atmosphere interactions – namely soil moisture feedbacks – are misrepresented. We identify European regions where these forecasts are most reliable and highlight physical biases as the primary barrier to accuracy elsewhere.
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