An efficient and accurate solution for the extraction of non-directional ocean wave spectra from second-order high-frequency radar Doppler spectra
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.
Bibliographic record
Abstract
Based on the change-of-coordinates that was previously proposed in [1], in this paper, the wave spectrum inversion problem is solved with very high accuracy for the case when there is little or no noise in the second-order Doppler spectrum. The new solution is based on the form of the forward problem, which is a sum of spatially-dependent linear convolution and cross-correlations. This sum can be solved precisely by solving for the wave spectrum power spectral densities iteratively from larger to smaller frequencies, and it is shown here on synthetic data that the solution is exact up to numerical error in the absence of noise. This exact solution is found to be sensitive to noise in the Doppler spectrum, and thus a second algorithm is derived which reduces this sensitivity and still arrives at a sensible solution for the nondirectional ocean wave spectrum.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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 it