Laboratory intercomparison of ozone and nitrogen dioxide spectral intensities in the visible and infrared using SCISAT-1
Bibliographic record
Abstract
Laboratory absorption spectra of ozone (O3) and nitrogen dioxide (NO2) were measured using SCISAT-1's MAESTRO (Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation) and ACE-FTS (Atmospheric Chemistry Experiment-Fourier Transform Spectrometer) spectrometers. A novel solar simulator source was designed and constructed for these measurements. This apparatus allowed for simultaneous measurements of visible and infrared absorption spectra from a common gas cell to be taken. The analysis of these spectra allowed for a direct intercomparison between the visible cross-section data reported in the literature and the infrared line intensities compiled in the HITRAN database. For ozone, results reported here show that Chappuis band cross-section strengths are more consistent with the HITRAN 2004 4.8 mum band line strengths than with the ones reported in the HITRAN 2000 compilation. For nitrogen dioxide, results obtained using three different sets of visible cross-section data show that the Vandaele et al. temperature-dependent cross-sections from 2002 are the most consistent with the HITRAN 2004 line strengths. As well, the pressure-broadened half-width of NO2 by NO is reported, and the thermodynamic equilibrium balance of NO2 with N2O4 has been measured. The results from this work have implications for a number of satellite missions that measure ozone and nitrogen dioxide. An increased certainty in the spectral parameters implies that discrepancies in amounts retrieved by different instruments must be due to other inaccuracies.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".