Aurora and diurnal tides in the daytime O(<sup>1</sup>S) emission rates from WINDII/UARS measurements
Bibliographic record
Abstract
In a previous study by Zhang and Shepherd, an empirical model for the daytime (sunlit) O(1S) green line emission layer was deduced using more than 520,000 emission rate profiles observed by he Wind Imaging Interferometer (WINDII) on the Upper Atmospheric Research Satellite (UARS) during 1991-1997. In the model, the peak emission rates and their altitudes, and the widths of both the F-layer and the E-layer of the emission are given as functions of the solar zenith angle χ and solar irradiance using F10.7 as a proxy. With this model, the daytime emission rate directly related to χ and solar irradiance can be calculated and removed, resulting in the residual emission rates. In this paper, the residual emission rates are presented in both geographic and geomagnetic latitude and local time coordinates grouped by seasons and Kp values. The main results are as follows. (1) The residual emission rates show a midday enhancement at the equator and midday depletions at mid-latitudes in the E-layer. Those variations may be attributed to the diurnal tide. The midday equatorial enhancement also occurs in the F-layer. (2) There is a deep gap in the E-layer at 35°S-65°S at the June solstice, which is wider in the morning than in the afternoon when Kp is low, and vice versa when Kp is high. (3) At latitudes poleward of 50° the daytime O(1S) aurora is conspicuously displayed in geomagnetic coordinates in both layers even for days with low Kp values, peaking at 60-70° geomagnetic latitudes and in the morning sector or in the afternoon sector or both depending on seasons. The aurora is significantly enhanced when Kp is increased. (4) There is a midday (geomagnetic noon) gap at high latitudes in both layers with a width of 3-4 hours. The gap is deepened when Kp is increased. (5) The integrated volume emission rates have similar features at high latitudes to those seen in the peak volume emission rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".