Bibliographic record
Abstract
Using the reflectivity and Doppler data of the Carvel radar, located near Edmonton, Alberta, for the summer of 2000 to 2004, we produced a mesocyclone climatology for a region within 120 km from the radar using the mesocyclone detection algorithm of the McGill Radar data Analysis, Processing and Interactive Display (RAPID) software system. The Upper level Vertically Integrated Liquid water content (UVIL) algorithm of the same software package has been used to detect strong convection. Two datasets were built. The first one consists of dates when mesocyclones occurred while the other includes dates characterized by strong convection but without mesocyclonic activity. A synoptic-scale analysis is conducted to identify the main differences between the atmospheric circulations of the two datasets. The upper-tropospheric flow associated with the mesocyclonic events shows a highly amplified meridional circulation. A strong trough-ridge couplet is evident 48 hours prior to the event. This atmospheric feature is responsible for the development of a vorticity maximum that is advected into Alberta. Lee cyclogenesis in noticeable on the sea-level pressure field associated with mesocyclone activity along with a significant low-level warm temperature input in the region of study. The corresponding atmospheric patterns associated with non-mesocyclonic events do not present such large-scale precursors. The different atmospheric fields act to favour large-scale forcing for ascent when mesocyclones are going to occur.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.023 | 0.004 |
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; both teacher heads agree on what is shown here.
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".