HF Radar Observations of Wintertime Surface Currents Over Hecate Strait, British Columbia
Bibliographic record
Abstract
An oceanographic high-frequency radar system was deployed by Fisheries and Ocean Canada along Hecate Strait, British Columbia to strengthen regional marine safety, including search-and-rescue operations. The Hecate Strait CODAR system provides hourly surface currents on a grid that spans central-northern Hecate Strait at a horizontal resolution of 5 km. These observations are used to characterize regional tidal currents and the subtidal wintertime surface circulation. The HF radar currents are also used to assess results from the Coastal Ice Ocean Prediction System for the West Coast of Canada (CIOPS-W), a component of the pan-Canadian operational ocean modelling system. Comparisons of rotary spectra and tidal current ellipses with historical current metre observations show that vector currents from the Hecate Strait CODAR system are reasonably accurate and can be used to describe the circulation and variability of ocean currents over the strait on tidal and subtidal time scales. Variability of the subtidal flow, in particular the along-strait surface-layer transport, is closely related to local wind forcing and sea level variability. A vector regression to buoy winds demonstrates that the ocean response is highly anisotropic, with the magnitude and veering of the surface current strongly dependent on the direction of the wind. Comparisons with the CIOPS-W model currents show reasonable agreement with the HF radar currents, particularly with respect to the along-strait transport.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".