Windstorm Extremes in a Warmer World: Raising the Bar for Destruction
Bibliographic record
Abstract
Abstract Extratropical cyclones occasionally escalate into devastating windstorms in Western Europe, causing damages worth billions of euros. However, their response to anthropogenic climate change remains uncertain, primarily due to limitations of coarse‐resolution models. This study adopts a high‐resolution, event‐based approach to examine how climate change may enhance Cyclone Anatol (December 1999), using the 2 km HARMONIE‐AROME model within a Pseudo Global Warming (PGW) framework. Results reveal that elevated temperatures amplify wind extremes, both in magnitude and spatial extent, over Denmark and the North Sea, which are linked to increased latent heat release which drives mesoscale instabilities. The findings highlight the potential for even more destructive windstorms in future climates, emphasizing the importance of high‐resolution modeling for understanding these dynamics. While this study does not address changes in cyclone frequency, it underscores the heightened risk of extreme windstorms in a warming world and their implications for disaster preparedness and mitigation strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".