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Record W2145584670 · doi:10.1109/ccece.2003.1226286

Estimation of ocean surface currents beyond the region of overlap of dual-site HF radar

2004· article· en· W2145584670 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadar Systems and Signal Processing
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRadarOcean currentCurrent (fluid)GeologyRemote sensingRange (aeronautics)GeodesyRadar horizonVector flowRadar engineering detailsRadar imagingComputer scienceTelecommunicationsEngineeringAerospace engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

High-frequency ground wave radar (HFGWR) has emerged as a valid tool for the sensing of ocean parameters. If there are at least two radars covering the same patch of ocean then geometric considerations can be used to construct a complete vector current. Unfortunately, the region of overlap for two radar sites is smaller than the total single site coverage and other techniques are needed to estimate vector currents outside the common coverage area. The continuity of flow equation uses knowledge of vector currents within the overlap and radial current information outside the overlap to extrapolate tangential current data outside the overlap thereby increasing the region where vector current information is known. This approach has not been previously applied to a narrow-beam, long-range radar. Tests of the radar facilities conducted in the summer and fall of 2002 show that this technique achieved good comparisons between the radar-derived vector currents and continuity-derived vector currents for ranges up to 350 km for one azimuthally adjacent range cell.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.221

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)0.0000.000

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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