A new method for ocean spectrum extraction from high-frequency second-order Doppler radar data
Bibliographic record
Abstract
Since the observation of Crombie in [1], of Bragg peaks in high-frequency radar Doppler data, the extraction of ocean wave parameters from such data has become a topic of extensive research. In this paper, we propose a new method for the extraction of the ocean wave spectrum from high-frequency second-order Doppler radar data. The basis of the proposed method is to perform a change-of-coordinates to the more natural coordinate system (y, y'), where y is the square-root of K, the normalized first ocean wavenumber, and y' is similarly defined for the second scattering event. This simplifies the double-integral to the sum of a single spatially-dependent convolution and correlation, from which the ocean spectrum can be extracted using a simple optimization scheme. Good results are shown on synthetic HF-radar Doppler data.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 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 teacher head, 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".