A comparison study of two regional atmospheric models over the Mackenzie Basin /
Bibliographic record
Abstract
We compare the results of two regional atmospheric models, Canadian Regional Climate Model (CRCM) and Mesoscale Compressible Community Model (MC2) at a mesoscale resolution of 51 km, using 5 cases with different synoptic characteristics over the Mackenzie River Basin. CRCM has physics appropriate for coarse resolution typical of climate models, while MC2 is a mesoscale model with fine resolution physics. The results of both models are largely similar, indicating CRCM physics is able to reproduce mesoscale features. There are however differences. CRCM has stronger and expanded warm and cold bias at low levels compared to MC2. We identified surface initialization and coastal topographic precipitation as two processes responsible for these differences. The underprediction of precipitation over the western slopes of the Rockies is related to the cold bias found at the lee of the mountain barrier in CRCM. Furthermore, our results suggest that the use of different cloud schemes is another factor causing differences between the models.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".