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Record W7062157143

Understanding Wintertime Pan-Atlantic Compound Weather Extremes : Statistical and Dynamical Insights

2025· article· en· W7062157143 on OpenAlexaboutno aff

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2025
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsExtratropical cycloneNorth Atlantic oscillationAtmospheric circulationExtreme ColdJet streamPrecipitationCold waveCold front
DOInot available

Abstract

fetched live from OpenAlex

This thesis investigates the connections between extreme winter weather in North America and Europe through large-scale atmospheric patterns. The focus is on the co-occurrence of North American cold spells and European wet or windy extremes. The European extremes occur more frequently than normal during North American cold spells, yet the specific timing and location is dependent on the location of the cold spells. Three North American regions are identified where cold spells coincide with specific footprints of European extremes: 1. Eastern Canada: Cold spells predominantly precede wind extremes over the British Isles and Northern Europe. 2. Central Canada: Cold spells are predominantly preceded by wind and precipitation extremesin Iberia. 3. Eastern United States: Cold spells are both preceded and followed by wind and precipitationextremes in Iberia. These cold spells are associated with an intensified and more zonal North Atlantic jet stream, increasingthe frequency, and in some cases, intensity of extratropical cyclones affecting Europe. This in turn leads to an increased occurrence of wet and windy extremes. However, cold spells in a single North American region can arise due to different large-scale atmospheric circulations. Stratifying the cold spells by wave activity flux intensity indeed reveals differing atmospheric dynamics, referred to as "dynamical pathways". Further analysis using weather regimes and Fourier decomposition identifies five dynamical pathways, which produce with varying frequencies, cold spells across all three North American regions. Three pathways, associated with the North Atlantic Oscillation (NAO), result in specific footprints of wind extremes in western Europe. The remaining two pathways, associated with Scandinavian blocking, do not produce such extremes. The regional preferences of these pathways provide a mechanistic explanation for the observed spatial and temporal relationships between cold spells and European extremes. Climate models are found to effectively replicate these pathways, though they underestimate the frequency of NAO+ pathways. Under a high-emission future climate scenario, the frequency and dynamics of the pathways are not projected to change significantly. However, the model simulations point to both North American cold spells and western European wind extremes diminishing in severity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.249
Teacher spread0.225 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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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