Regional air quality model simulations for the Swiss-Canadian research on aerosol modelling (SCRAM) project
Bibliographic record
Abstract
We compare the Community Multiscale Air Quality modelling system, including the Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (CMAQ-MADRID) with the Comprehensive Air Quality Model with Extensions (CAMx) in two very different applications: the relatively flat Great Lakes region of Southern Ontario and the Alpine terrain of Switzerland. Both models were driven by the same meteorology (generated by MM5) in each location. Three nested domains were used in each case. The Swiss study used resolutions of 27, 9 and 3 km to cover Europe, central Europe and Switzerland respectively. The resolutions in the Canadian study were 36, 12 and 4 km, covering eastern North America, the Great Lakes and Southern Ontario, respectively. The major differences between the models are in their gas/particle partitioning algorithms and in their treatment of organic particulate matter (PM) as well as anthropogenic and biogenic secondary organic aerosol (SOA). The major focus of the study is the ability of the models to simulate PM in the major urban areas and transportation routes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".