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Record W2054891785 · doi:10.1080/07055900.2001.9649669

Comparisons of CLOVAR windprofiler horizontal winds with radiosondes and CMC regional analyses

2001· article· en· W2054891785 on OpenAlexafffundvenueabout
Radian Belu, W. K. Hocking, Norman Donaldson, T. Thayaparan

Bibliographic record

VenueATMOSPHERE-OCEAN · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRadiosondeMeteorologyRadarClimatologyEnvironmental scienceWind profilerPrevailing windsAtmospheric sciencesWind directionWind speedGeologyGeographyEngineering

Abstract

fetched live from OpenAlex

Abstract The Canadian (London, Ontario) VHF Atmospheric Radar (CLOVAR) windprofiler radar near London, Ontario is a relatively new tool for atmospheric wind measurements (Hocking, 1994, 1997a). In order to verify its proper performance, vertical profiles of horizontal winds were compared with other wind estimates available during the period January 1996 to November 1997. Comparisons with co‐located radiosonde flights (a series of 29 flights in May–June 1996, and another of 8 flights in May–July 1997) showed excellent agreement between the two techniques. In addition, comparisons with horizontal winds measured by routine radiosonde balloons launched some 180 km south‐west of London, at White Lake (Detroit), and some 210 km east of London at Buffalo Airport, showed good agreement, considering the meteorological differences which would be expected at these ranges. A further comparison between winds measured with the radar, and winds extracted for London from Canadian Meteorological Centre (CMC) regional analyses, showed very good agreement. These favourable intercomparisons have verified that the CLOVAR is a reliable tool for observing horizontal winds, and have provided interesting insight into the CMC model.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score1.000

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 head0.017
GPT teacher head0.256
Teacher spread0.240 · 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.

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

Citations9
Published2001
Admission routes4
Has abstractyes

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Same venueATMOSPHERE-OCEANSame topicIonosphere and magnetosphere dynamicsFrench-language works237,207