Comparison of composite Bragg theory and quad‐polarization radar backscatter from RADARSAT‐2: With applications to wave breaking and high wind retrieval
Bibliographic record
Abstract
Depolarized (de‐pol) radar backscatter is now produced by many spaceborne satellites. Analysis of RADARSAT‐2 (R2) quad‐polarization (quad‐pol) data with collocated in situ ocean wind measurements reveals that the de‐pol radar backscatter does not saturate in high winds. This is a significant development for radar wind sensing, because wind retrieval with copolarized (co‐pol) backscatter suffers from problems of incidence‐and‐azimuth‐angle‐dependent signal saturation and dampening in high winds. We present a study comparing satellite quad‐pol measurements with the composite surface Bragg (CB) theory of radar backscattering from the ocean surface. The co‐pol data are in good agreement with the CB theory. De‐pol data are more sensitive to wind speed compared to theoretical prediction, thus retrieval of high winds is more accurate using the de‐pol return. The cubic wind speed dependence of de‐pol returns in high winds reflects the significant breaking wave contributions. The relationship can be used to obtain wave‐breaking properties from space.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".