Sensitivity of stratospheric dynamics to uncertainty in O<inf>3</inf> production
Bibliographic record
Abstract
Some key photochemical uncertainties that cannot be readily eliminated by current observations translate into a range of stratospheric O < inf > 3 < /inf > abundances in the tens of percent. The uncertainty in O < inf > 3 < /inf > production due to that in the cross sections for O < inf > 2 < /inf > in the Hertzberg continuum is studied here with the NCAR Community Atmosphere Model, which allows for interactive climate and ozone chemistry. A min-max range in the O < inf > 2 < /inf > cross sections of 30%, consistent with current uncertainties, changes O < inf > 3 < /inf > abundances in the lower tropical stratosphere by up to 30%, with a relatively smaller and opposite change above 30 hPa. Here we have systematically examined the changes in the time-mean state, the seasonal cycle, and the interannual variability of the temperature and circulation associated with the 30% change in O < inf > 2 < /inf > cross sections. This study points to the important role of O < inf > 3 < /inf > in the lower tropical stratosphere in determining the physical characteristics of the tropical tropopause layer. Reducing O < inf > 2 < /inf > cross sections by 30% increases ozone abundances which warms the lower stratosphere (60iS -60iN; 2 K maximum at equator) and lowers the tropopause height by 100-200 m (30iS -30iN). The large-scale warming leads to enhanced stratification near the tropopause which reduces upward wave propagation everywhere except for high latitudes. The lowermost tropical stratosphere is better ventilated during austral winter. The annual cycle of ozone is amplified. The interannual variability of the winter stratospheric polar vortices also increases, but the mechanism involves wave-mean flow interaction, and the exact role of ozone in it needs further investigation. © 2013. Her Majesty the Queen in Right of Canada. American Geophysical Union.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".