The role of anticylones in replenishing surface cold air and modulating freezing rain duration
Bibliographic record
Abstract
Introduction: Freezing rain (FZRA), a hazardous meteorological phenomenon, is associated with airflows from both cyclones and anticyclones. Though researchers have placed primary emphasis on the cyclone’s role in FZRA, we intend to examine the anticyclone's role in transporting near-surface cold air. more specifically, we study its impact on the duration of FZRA in a region of orographically enhanced vulnerability, namely at Quebec city (YQB), located in the st-lawrence river Valley (SLRV). This region is an active zone of freezing rain due to orographic influences that promote pressure-driven channeling. Methods: within the SLRV region, we define a severe event using a minimum duration threshold of six hours and found 47 severe freezing rain cases during a 30-year period (1979-2008). we then partitioned these cases into categories based on precipitation phase change and 850hpa geostrophic relative vorticity. results: we found that the duration of freezing rain is determined in large part by the intensity and location of the anticyclone. discussion: The anticyclone enhances pressure-driven channeling, and this channeling provides the replenishment of cold air at the surface required to maintain FZRA. identifying these anticyclonic features provides a novel approach to determine the potential duration of FZRA events.
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.
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 | 0.001 | 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".