Initial comparison of ozone and NO<sub>2</sub> profiles from ACE‐MAESTRO with balloon and satellite data
Bibliographic record
Abstract
Atmospheric retrievals of ozone and NO2 by the Measurements of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation (MAESTRO) instrument which is part of the Atmospheric Chemistry Experiment (ACE) satellite aboard SCISAT are compared statistically with coincident measurements by ozonesondes, the Fourier Transform Spectrometer (ACE‐FTS) also aboard SCISAT, the SAGE III and the POAM III instruments. The ozone mixing ratio profiles from MAESTRO and ozonesondes agree within about 5–10% from 16–30 km in the northern middle and high latitudes. Further, ACE‐FTS and MAESTRO ozone profiles agree within ∼5–15% from 16–50 km. MAESTRO ozone profiles show a systematic bias which is opposite for sunrise (SR) and sunset (SS) events and was also seen in comparisons with SAGE III and POAM III ozone. MAESTRO SS ozone profiles mostly agree within 5–10% from 16–40 km with either SAGE III or POAM III SR or SS retrievals, but show a significant high bias from 40–55 km, reaching a maximum of ∼20–30%. MAESTRO SR ozone profiles show a low bias of ∼5–15% from 20–50 km, as compared to SAGE III and POAM III SR or SS measurements. The NO2 profiles agree within about 10–15% between ACE‐FTS and MAESTRO from 15–40 km for the SR and 22–35 km for the SS measurements. Further, MAESTRO NO2 profiles agree with SAGE III NO2 mostly within 10% from 25–40 km. MAESTRO NO2 profiles agree with POAM III SR profiles within 5–10% from 25–42 km. However, compared to POAM III SS profiles, MAESTRO NO2 profiles show a low bias between 20 and 25 km (∼30–50%), a high MAESTRO bias between 25 and 32 km (10–30%), and again a low bias above 33 km that increases with altitude to 50–60%.
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 | 0.001 |
| 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".