Detection and characterization of mesoscale cyclones in RADARSAT Synthetic Aperture Radar images of the Labrador Sea
Bibliographic record
Abstract
Nous étudions les images radar à synthèse d'ouverture (RSO) de RADARSAT en mode faisceau ScanSAR large de plusieurs cyclones à méso-échelle qui se sont développés au-dessus de la mer du Labrador durant l'hiver 1997/98. Les trois études de cas démontrent la capacité des images ScanSAR de RADARSAT à fournir une information détaillée sur la structure des champs de vent à la surface associés à ces tempêtes intenses. Les images RSO utilisées conjointement avec les données sur les conditions météorologiques et les images infrarouge thermique des patrons de nuages associés montrent les zones de cisaillement du vent en spirale des cyclones de même qu'une zone de convection bien organisée à proximité au cours des divers stades de développement des cyclones. Dans le futur, des champs de vent océanique dérivés des images ScanSAR de RADARSAT pourraient améliorer les modèles de simulation dans le cas des cyclones polaires et autres cyclones à méso-échelle et ainsi jouer un rôle en météorologie marine opérationnelle.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".