Atomic oxygen density profiles from ground-based nightglow measurements at 23 degrees S
Bibliographic record
Abstract
In this paper we demonstrate how ground-based measurements of selected airglow emission features may be used to determine the vertical distribution of atomic oxygen in the upper mesosphere and lower thermosphere. The technique used is based on a method first suggested by Sharp and McDade [ 1996] and exploits differences between the kinetics of specific oxygen airglow features to determine key parameters related to the atomic oxygen vertical distribution. The technique is applied to ground-based measurements of the OI557.7 mri green line, the O-2 Atmospheric (0-1) band, and the OH Meinel (9-4) band emissions made at Cachoeira Paulista, Brazil (23 degreesS, 45 degreesW) from January 1987 to June 1994. In order to compare the results obtained here with observations, the derived atomic oxygen density profiles are used to forward calculate hydroxyl nightglow profiles which are then compared with profiles measured by the Wind Imaging Interferometer (WINDII) experiment on board the Upper Atmosphere Research Satellite (UARS). This comparison shows good agreement for the seasonally averaged nocturnal behavior of both the peak altitude and the peak volume emission rate.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".