Thermal conditions for PMC existence derived from Odin/OSIRIS and TIMED/SABER data
Bibliographic record
Abstract
We study a relationship between Polar Mesospheric Cloud (PMC) brightness and coincident mesospheric Kinetic Temperatures (KT) measured by two satellite instruments, the Optical Spectrograph and Infrared Imager System and Sounding of the Atmosphere using Broadband Emission Radiometry respectively. Two fifteen‐day periods in July 2002 and 2003 have been analyzed. For coincidences ≤3 hours and ≤200 km PMCs with a peak at 82–84 km were observed for the mean KT in this height range ≤142 K. Bright PMCs, at least twice brighter than the seasonal mean, were detected only for KT ≤ 134 K. The average KT for PMCs at 80°–82.2°N was lower than that at 60°–75°N by 5–8 K. The average KT coincident with PMCs was 1.4 to 7.9 K lower than that for non‐PMC cases. There was up to 7% of non‐PMC detections for the very low KT, ≤130 K. The total random and systematic uncertainty of this analysis was 9 K.
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 | 0.001 | 0.001 |
| 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".