Sensitivity studies and first validation of stratospheric ozone profile retrievals from Odin/OSIRIS observations of limb-scattered solar radiation
Bibliographic record
Abstract
An error analysis and first validation results are presented for a method of retrieving stratospheric ozone density profiles from spectra of limb-scattered solar radiation, as measured with the OSIRIS instrument on the Odin satellite. The sensitivity study includes geophysical parameters such as ground albedo, stratospheric aerosols, cloud cover, and conditions in the background atmosphere, as well as instrumental parameters such as instrument noise, polarization sensitivity of the spectrograph, and levels of internal and external straylight. The dominating sources of error within the 1540 km altitude range are found to be stratospheric aerosols, ground albedo, and clouds, with each individual error being generally well below 5%. The total error in this altitude range is estimated to be on the order of 10% for an individual retrieved profile. A comparison of colocated measurements from OSIRIS and the POAM III occultation instrument during August of 2001 at northern-hemisphere mid-latitudes shows agreement to within about 5% between 15 and 35 km. The ozone densities from OSIRIS are found to be systematically lower than those from POAM III.PACS Nos.: 42.68.Ca, 82.33.Tb
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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 | 0.011 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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 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".