Mesospheric temperature and atomic oxygen response during the January 2009 major stratospheric warming
Bibliographic record
Abstract
The study examines the response of the mesosphere/lower thermosphere to the major stratospheric warming (SSW) event from January 2009, as seen in the OH and O2(0,1) atmospheric band airglow observations nominally at 87 and 94 km, respectively, by a SATI (Spectral Airglow Temperature Imager) instrument installed at the Polar Environment Atmospheric Research Laboratory (PEARL) at Eureka (80°N, 86°W) as part of the Canadian Network for the Detection of Atmospheric Change. At the time of the SSW, the airglow emissions and the derived rotational temperatures appear depleted and decreased, followed by an enhancement of the airglow emission rates during the SSW recovery phase, while the temperatures returned to their pre‐event state. An empirical relationship between OH airglow peak altitude determined by SABER (Sounding of the Atmosphere by Broadband Emission Radiometry) and SATI integrated emission rates allowed perturbed OH and O2(0,1) airglow altitudes to be assigned to the SATI observations. From these, the O volume mixing ratio (VMR), corresponding to the observed OH and O2(0,1) airglow emission rates were modeled. Atomic oxygen depletion by a factor of ∼5 was observed during the SSW and lasted for about 5 days. During the SSW recovery phase, the O VMR giving rise to the observed O2(0,1) airglow emission rates increased by a factor of 3.5 from its pre‐SSW level and 17 times from the peak of the SSW. Perturbations in the OH and O2(0,1) airglow layers with periods of 4, 6, 8, and 12 h indicate nonlinear interaction between zonally symmetric semidiurnal tides and planetary waves.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".