Solar variability of the daytime atomic oxygen O(<sup>1</sup>S) emission in the middle and lower thermosphere
Bibliographic record
Abstract
The Wind Imaging Interferometer (WINDII) on board the Upper Atmosphere Research Satellite (UARS) measures winds from the Doppler shifts of airglow emissions, and as a by‐product the volume emission rates (photon cm−3 s−1) of those emissions. This includes the atomic oxygen O(1S) emission at 557.7 nm, which during the daytime is emitted over a large altitude range from about 85 km to over 250 km. Two distinct peaks in altitude are formed, one near 100 km (herein denoted the E region) and one near 150 km (herein the F region). The daytime E region emission was virtually unknown prior to WINDII – it resembles its nighttime counterpart, but the emission rate is much higher and it is broader in vertical extent. Both regions are produced by direct and indirect processes, but the WINDII data show that both behave as Chapman layers, corresponding to production of emission by absorption of solar radiation. The F region processes are fairly well understood, but the direct E region process has not previously been identified. The data are consistent with excitation by photodissociation of O2 dominantly by Lyman‐β. The solar influence is investigated through correlations of daily values of emission rate with six solar indices; the E region yields higher coefficients than the F region, with the highest value for solar Ly‐α at 0.82, which is consistent with the Ly‐β process. For one of the six indices, the GOES xl x‐rays (0.1–0.8 nm), no correlation is evident, in part because the radiances are too low to produce the observed emission, but also because the radiances are seemingly random, not following the solar cycle variation. Variations of atmospheric origin with latitude and longitude are briefly reported upon, and an F region emission rate scale height correlation with temperature is also found.
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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) | 0.001 | 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".