OH Meinel band nightglow profiles from OSIRIS observations
Bibliographic record
Abstract
Abstract The mesospheric nightglow spectrum is replete with OH Meinel band emissions, from the midvisible to the midinfrared. These emissions provide a wealth of aeronomic information, giving a physical view of the chemistry and dynamics of the upper atmosphere. The Optical Spectrograph and Infrared Imaging System (OSIRIS) instrument, on the Odin satellite, is currently one of the few satellite instruments that simultaneously observes emissions from multiple and separate Meinel bands. This has allowed the derivation of near‐global data sets of nighttime OH volume emission rate profiles for the Meinel (5‐1), (8‐3), and (9‐4) bands. The 2002–2013 climatologies consistently show that emission from bands in higher upper vibrational levels peaks at higher altitudes. The global average (5‐1), (8‐3), and (9‐4) band emission peak heights are at altitudes of 86.0 km, 86.7 km, and 87.1 km, respectively. The 1σ variation in the (5‐1), (8‐3), and (9‐4) band, peak heights are 1.8 km, 1.9 km, and 1.9 km, respectively. The climatological (30 day, 10° latitude) peak heights can vary significantly with both time and latitude; however, the (5‐1) band climatological peak height is nearly always below that of the (8‐3) band, which is nearly always below that of the (9‐4) band. The temporal variation in the emission peak height can have a significant impact on measurements of OH rotational temperatures from ground‐based observations of the OH layer. It was found that omitting the profile climatology can bias a ground‐based temperature measurement by as much as ±4 K and can also make ground‐based measurements susceptible to nonrealistic temperature variations.
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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".