Connections Between Meteor Persistent Trains and Ozone Content in the Mesopause Region
Bibliographic record
Abstract
Abstract Ozone () is an important trace species in the mesopause region of Earth's atmosphere and is difficult to directly probe. We found that the percentage of sporadic meteors that produced persistent trains (PTs) exhibit semiannual variations which are strongly correlated with those of the average peak volume mixing ratio (vmr) of the secondary ozone maximum (near the mesopause, 90–95 km). PTs are long‐lasting, self‐emitting phenomena that occasionally form after a meteor, thought to arise from exothermic reactions between meteoric metals and atmospheric . The observed correlation between PT rates and essentially confirms ozone's necessity for the endurance of PTs in the continuum emission regime. Owing to this correlation, we were also able to develop a simple relationship between these two quantities providing an easy method of estimating in the mesopause region using the monthly sporadic PT occurrence rates. This represents a new, ground‐based technique for estimating content in the upper atmosphere. Meteor showers were much less correlated with due to their respective homogeneity, stressing the importance of intrinsic meteoroid properties for PT formation. Lastly, we examined the connection between content and the duration of PTs and found no clear correlation.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".