Observations of the directional spectrum relaxation of wavefields in slowly and rapidly turning winds
Bibliographic record
Abstract
A so called Exact Form of the Maximum Likelihood Method is used to obtain directional spectrum estimates from a 3-meter NDBC discus buoy, part of the Surface Wave Dynamics Experiment (SWADE) field array. The method was used to look at the response of wavefields to turning winds with various wind shift gradients. For slowly turning winds, the spectrum was found to smoothly adjust to the wind changes. As the wind shift gradient increased, a portion of the spectral energy was found to be decoupled from the wind while the bulk of the spectrum smoothly adjusted to the new wind direction. Finally, for even larger wind shift gradients, the preexisting spectrum was completely decoupled from the wind and decayed separately, as a new spectrum consistent with the wind direction was generated. These observations confirm theoretical results previously obtained from a third generation wave model. The relaxation of waves in turning winds was investigated using a simple relaxation model. Correlation coefficients obtained in this study are higher than previously published studies, especially for lower values of the wave age, and a relationship between the relaxation parameter and the wave age is observed.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".