Bibliographic record
Abstract
An atmospheric general circulation model is used in a series of three experiments to simulate the intraseasonal oscillation in the tropical atmosphere.Analyses of the model daily data show that various physical variables,from sever- al different regions,exhibit fluctuations with a spectral peak between 30 and 60 days.This represents a 30—60 day oscillation in the tropical atmosphere and possesses several features which are consistent with observations.These in- clude a horizontal structure dominated by zonal wavenumber 1 and a vertical structure which is predominantly baroclinic. The effect of warm SST (sea surface temperature) anomalies on the 30—60 day oscillation in the tropical atmos- phere is also simulated by prescribing global SST as observed in 1983.This has the effect of weakening the oscillation while at the same time the vertical structure becomes less baroclinic. The importance of cumulus convection to the propagational characteristics of this oscillation is demonstrated by a comparison of results based on different parameterizations for convection.In one case,where the maximum convection over the Pacific is simulated to be too far east,the simulated 30—60 day oscillation shows evidence of westward propa- gation.In the second case,where the convection maximum is located near the observed position in the western Pacific, there is more clearly evidence of eastward propagation. Both results suggest that the location of maximum convection in the Pacific can have an important influence on the strength,structure and propagation of the 30—60 day oscillation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.974 | 0.976 |
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; the direct Gemma label and the distilled Codex classifier 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".