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Record W2276480750 · doi:10.1002/qj.2744

The <scp>M</scp>arch 1972 northwest <scp>G</scp>reenland windstorm: evidence of downslope winds associated with a trapped lee wave

2016· article· en· W2276480750 on OpenAlexafffund
G. W. K. Moore

Bibliographic record

VenueQuarterly Journal of the Royal Meteorological Society · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsKatabatic windExtratropical cycloneGeologyRadiosondeClimatologyAtmospheric sciencesMeteorologyCyclogenesisRidgeFlow (mathematics)Wind profilerCyclone (programming language)GeographyPhysicsMechanics

Abstract

fetched live from OpenAlex

Abstract In March 1972, a severe windstorm buffeted Thule Air Force Base in northwest Greenland with sustained surface winds in excess of 30 m s−1 and gusts exceeding 90 m s−1 – one of the highest surface wind speeds ever directly observed. The high winds were associated with an extratropical cyclone that propagated into the region from the Labrador Sea. It has been argued that katabatic flow off the nearby ice cap contributed to the high winds during the event. Here we use surface and radiosonde data from the region along with an operational analysis as well as both conventional and ‘surface data’ reanalyses to examine the conditions in the region during the windstorm. We find that during the event there was southeasterly flow in the region suggesting that katabatic flow, which would have resulted in easterly or northeasterly flow, was not a significant contributor to the high winds observed at Thule. Rather, we find that the environmental conditions immediately prior to the event were conducive to the excitation of a trapped lee wave forced by the flow over the topographic ridge upwind of Thule. Radiosonde data during the event is consistent with this interpretation and suggests that downslope winds associated with this trapped lee wave were responsible for the observed high winds. Evidence is also presented that corner jets excited by the coastal topography also occur in the region and one such jet contributed to the high wind speeds during this event.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.026
GPT teacher head0.233
Teacher spread0.207 · 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 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

Citations7
Published2016
Admission routes2
Has abstractyes

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