Modeling the coupled stratosphere-troposphere stationary wave response to climate change
Bibliographic record
Abstract
Lei Wang, Paul J. Kushner Department of Physics, University of Toronto lei@atmosp.physics.utoronto.ca Introduction Stationary wave, the zonally asymmetric component of the atmospheric climatology, will be significantly altered by climate change, as revealed by a variety of coupled global climate models. The boreal winter time stationary wave responses to climate change simulated by Chemistry-Climate Models (CCMs) are diagnosed with a nonlinear baroclinic stationary wave model. Changes in the zonal mean basic state and zonally asymmetric forcings both account for the stationary wave response to climate change, while the former dominates. Data Stationary wave fields are investigated from CMAM (Canadian Middle Atmosphere Model) and GFDL AMTRAC3 (Geophysical Fluid Dynamics Laboratory Atmospheric Model 3 with TRansport And Chemistry). CMAM CCMVal-1 REF2 simulation (Eyring, et al. 2007, JGR); AMTRAC3 CCMVal-2 REF-B2 simulation (Austin, J., GFDL). The Januarys of the first and last twenty years, 1961-1980 and 2081-2100, are chosen from the CMAM REF2 run to represent past and future winter climatology individually, while the counterparts in AMTRAC3 are 1960-1979 and 2080-2099. CMAM zonal-mean basic state
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".