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Record W2113384490 · doi:10.1109/igarss.1995.521105

Radar backscatter from a wind roughened water surface in the Bragg regime

2002· article· en· W2113384490 on OpenAlexaboutno aff
David G. Long, R.S. Collyer, R. Reed, D.V. Arnold

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsWind speedAnemometerFetchScatterometerBackscatter (email)PhysicsRadarWavelengthWind directionBragg's lawOpticsWind waveScatteringComputational physicsMeteorologyGeologyTelecommunications

Abstract

fetched live from OpenAlex

Measurements of the normalized radar cross section (/spl sigma//sup o/) made by the YSCAT ultra-wideband scatterometer during an extended deployment at Lake Ontario are analyzed and compared with anemometer wind measurements to study the sensitivity of /spl sigma//sup o/ to the wind speed as a function of the Bragg wavelength. Wind speeds from 4.5 m/s to 12 m/s are studied at frequencies of 2 to 14 GHz and incidence angles within the Bragg regime, 30/spl deg/ to 50/spl deg/. Adopting a power law model to describe the relationship between /spl sigma//sup o/ and wind speed, the wind speed exponents and upwind/downwind (u/d) ratios of /spl sigma//sup o/ are presented as a function of the ocean Bragg wavelength. Analysis of the wind speed dependence of the normalized measurement variance suggests that Bragg scattering does not explain the observed scattering characteristics.

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 score0.193
Threshold uncertainty score0.999

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)0.0110.002

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 head0.178
Teacher spread0.161 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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