Integration of UHF profiler information with bistatic measurements
Bibliographic record
Abstract
The McGill/Oklahoma University Bistatic Radar Network provides Doppler velocity measurements from three different points of view. This, in principle, allows a three-dimensional wind field retrieval. Because the receivers are looking at low elevations, the vertical component of the wind is poorly sampled and is mainly obtained by integration of the continuity equation with great associated uncertainty. The retrieval can be improved with measurements taken by a vertically pointing Doppler radar. In this work, we study the impact on the reconstruction of the wind field when UHF wind profiler information is used as an additional constraint along with bistatic measurements. Experiments were done with a synthetic wind field to study how the information from the profiler can be integrated and how it is propagated. These experiments show significant improvement of the retrieved vertical motion. Consequently, the algorithm for the retrieval of the 3-D wind has been modified to combine the UHF information with the bistatic network and its impact is studied for the case of a shallow supercell.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".