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Record W4413131670 · doi:10.5194/ecss2025-129

Ingredient-Based Analysis and Simulation of Violent European F4/F5 Tornadoes between 1965 and 197

2025· preprint· en· W4413131670 on OpenAlexaff
Jerome Schyns, Lisa Schielicke, Christoph Gatzen

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicMeteorological Phenomena and Simulations
Canadian institutionsWestern University
Fundersnot available
KeywordsTornadoMesoscale meteorologyWind shearClimatologyTropopauseStormMeteorologyGeologyVorticityConvectionAnticycloneCold frontCyclogenesisAtmospheric sciencesSynoptic scale meteorologySevere weatherEnvironmental scienceWind speedCyclone (programming language)VortexGeographyTroposphere

Abstract

fetched live from OpenAlex

Between 1965 and 1971, Europe experienced an unusually high number of violent tornadoes, including six confirmed F4 events in Switzerland, France (2), Italy (2), and Germany, as well as one F5 tornado in France. This exceptional cluster of events provides a unique opportunity to investigate the synoptic and environmental conditions associated with high-end tornadoes in Europe.Using data from the European Severe Weather Database (ESWD), ERA5 reanalysis, and historical surface and upper-air weather maps, we analyze the synoptic and mesoscale patterns associated with these tornadoes. Particular attention is given to large-scale synoptic processes such as the jet stream positioning, the presence of synoptic and mesoscale boundaries (such as cold fronts, drylines, and prefrontal convergence zones), and the strength of large-scale forcing.Our analysis follows an ingredients-based approach focusing on thermodynamic and kinematic conditions, including the spatial alignment of low-level moisture, lapse-rates, lifting mechanism, and vertical wind shear. We find that many of these tornado events occurred under a favorable combination of strong low-level wind shear and enhanced CAPE, often within confined regions (”sweet spots”) of overlapping ingredients. A recurring pattern emerges, characterized by the presence of strong low-level streamwise vorticity and low lifted condensation levels (LCLs), which likely contributed to efficient storm organization and tornadogenesis by limiting evaporative cooling and thus cold pool strength.ERA5 vertical profiles near the convective developments reveal consistent signatures of storm-favorable environments, including strong streamwise vorticity in the lowest kilometers, as well as low LCL heights indicative of surface-based convection with limited downdraft cooling. These findings are further supported by proximity soundings used to initialize idealized supercell simulations in Cloud Model 1 (CM1). Simulated storms develop robust mesocyclones, exhibit realistic storm motion vectors, and confirm the sensitivity of storm structure to variations in cold pool intensity and vertical shear.Overall, the study suggests that the violent tornadoes of this period were not purely coincidental, but rather the result of rare yet repeatedly favorable synoptic and mesoscale configurations. These insights contribute to a better understanding of the environmental conditions supporting violent tornadoes in Europe and may aid in refining future risk assessments and forecasting strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.259
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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