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Record W1513732037 · doi:10.1109/ccece.1995.526572

Attenuation by rain at 30 GHz: relationship between weather radar echoes and microwave attenuation

2002· article· en· W1513732037 on OpenAlexaff
Pierre Lahaie, M. Lecours

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPrecipitation Measurement and Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAttenuationRadarWeather radarMicrowaveRange (aeronautics)Remote sensingMeteorologyRain rateMicrowave transmissionEnvironmental scienceConstraint (computer-aided design)GeologyComputer scienceGeographyPhysicsTelecommunicationsOpticsEngineeringAerospace engineeringMathematicsGeometry

Abstract

fetched live from OpenAlex

The installation of radiocommunication links requires knowledge of the phenomena of propagation. In the range of frequencies between 20 and 40 GHz, rain constitutes the greatest constraint. The authors suggest a method of construction of models for prediction of attenuation by rain, based on the use of weather radar images. The relationship is worked out from measurements of raindrop size distribution in parallel with attenuation measurements over a distance of 110 m. Preliminary prediction model curves are plotted for links 2, 4, 8, 10 and 12 km in length, with east-west orientation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
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)0.0070.001

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 head0.051
GPT teacher head0.227
Teacher spread0.176 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2002
Admission routes1
Has abstractyes

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