Atomic oxygen profiles (80–94 km) derived from Wind Imaging Interferometer/Upper Atmospheric Research Satellite measurements of the hydroxyl airglow: 1. Validation of technique
Bibliographic record
Abstract
The use of satellite measurements of the hydroxyl airglow volume emission rate profile to infer the atomic oxygen profile of the mesopause region is complicated by uncertainties as to the collision de‐excitation mechanism and the vibration transition probabilities that are needed for the analysis. In this paper, we demonstrate that the shape of the derived atomic oxygen profiles is, to a large extent, independent of the choice of these factors. We use data from two nights of observation from the Wind Imaging Interferometer (WINDII) instrument onboard Upper Atmospheric Research Satellite (UARS) where the instrument observed the hydroxyl emission and the oxygen greenline emission on alternate orbits. The comparison between the derived atomic oxygen profiles from the two emissions is difficult because the region of overlap of good quality data lies in between the peaks and is small (about 4 km). Also, the altitude of the good overlap is not fixed but is a function of both latitude and local time and may lie anywhere in the altitude range from 88 to 94 km because the heights of the emission layers also change. We have adopted a technique of doing the comparison only at certain altitude/local time combinations depending on where the best data exists. The hydroxyl parameter set that used Goldman transition probabilities and a sudden death quenching model best fit the greenline derived atomic oxygen and will be used to complete a full atomic oxygen climatology from 80 to 110 km.
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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 | 0.001 | 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".