Boundary and initial flow induced variability over Pacific North America in CCC-AGCM simulations
Bibliographic record
Abstract
Specified time-varying sea-surface temperatures (SST) of the extreme phases of El Niño-Southern Oscillation (ENSO), sea ice extent and different initial atmospheric flow configurations over the midlatitudesare used in a series of general circulation model (GCM) experiments to analyze variabilityover the Pacific North American (PNA) sector. These experiments are performed with the secondgenerationCanadian Climate Centre atmospheric general circulation model, CCC-GCM2 (hereafterreferred to as AGCM2). Two-way analysis of variance (ANOVA) and Empirical Orthogonal Function(EOF) techniques are applied to the model results to assess and quantify the effects of the prescribedsea-surface temperatures and different initial flow regimes (zonal and meridional) on the modes of midlatitude variability over the PNA sector. Results show that the prescribed ENSO sea surface temperaturessignificantly influence the midlatitude simulated variability at 500 hPa in a form of the PNAteleconnection pattern. In addition, the initial flow configuration is seen to have a small but significanteffect on midlatitude variability. The interaction between the ENSO effect and the initial flow configurationdoes not significantly influence the midlatitude atmospheric variability. This indicates the effectsof the perturbation of the ENSO SST and the internal atmospheric dynamics on the total variability areadditive. The contribution to the total variability over the PNA sector by the specification of the initialatmospheric flow regime also manifests itself in a PNA-like pattern.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| 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 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".