Mesoscale Temperature Patterns in the Rocky Mountains and Foothills Region of Southern Alberta
Why this work is in the frame
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Bibliographic record
Abstract
Near-surface air temperatures have been monitored from 2005 to the present in a mesoscale network of 280 sites in the foothills of the Rocky Mountains in southwestern Alberta, Canada. The monitoring network covers a range of elevations, topographic conditions and surface environments. In this paper, we report on the seasonal structure of temperature patterns and near-surface lapse rates in the region for the period 2005–09. Multivariate regression is used to model the influence of elevation, aspect, slope and surface cover on monthly mean temperatures. Regression models identify the influence of synoptic weather systems on regional temperature patterns and prevailing lapse rates. To explore this further, we examine daily temperature patterns under the influence of two common weather systems in the region: cold (continental polar) air masses and chinooks.
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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) | 0.001 | 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 it