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Record W3048672288 · doi:10.1080/07055900.2020.1792405

A Severe Thunderstorm Outbreak North of 70°N Over the Canadian Arctic Islands with Unusual Lightning Characteristics

2020· article· en· W3048672288 on OpenAlexaffvenueabout
Daniel M. Brown, Bohdan Kochtubajda, R. Said

Bibliographic record

VenueATMOSPHERE-OCEAN · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsThunderstormLightning detectionLightning (connector)StormMeteorologyArcticWind shearClimatologyGeographyThe arcticGeologyOceanographyWind speed

Abstract

fetched live from OpenAlex

This study explores the causes of a severe thunderstorm outbreak north of 70°N on 24–25 July 2014 and provides the first characterization of lightning over the Canadian Arctic Islands. Lightning data were obtained from the Global Lightning Dataset (GLD360) network. Convective available potential energy calculated using representative soundings and surface conditions indicated high instability that, combined with large vertical wind shear and storm-relative helicity, likely caused severe thunderstorms to form over Victoria Island. These storms subsequently drifted northeastward over Parry Channel, where they transitioned into elevated storms and travelled as far north as and passed close to Grise Fiord (76.4°N). Satellite imagery suggested that overshooting tops reached 11.6 km. The GLD360 network detected more than 15,000 strokes north of the Arctic Circle and an unusually high ratio of positive strokes during this outbreak.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.179
Teacher spread0.173 · 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 designObservational
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

Citations8
Published2020
Admission routes3
Has abstractyes

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