Carbon dioxide retrievals from Atmospheric Chemistry Experiment solar occultation measurements
Bibliographic record
Abstract
The Atmospheric Chemistry Experiment (ACE) satellite (SCISAT‐1) was launched into an inclined orbit on 12 August 2003 and is now recording high signal‐to‐noise 0.02 cm−1 resolution solar absorption spectra covering 750–4400 cm−1 (2.3–13 μm). A procedure has been developed for retrieving average dry air CO2 mole fractions in the altitude range 7–10 km from the SCISAT‐1 spectra. Using the N2 continuum absorption in a window region near 2500 cm−1, altitude shifts are applied to the tangent heights retrieved in version 2.2 SCISAT‐1 processing, while cloudy or aerosol‐impacted measurements are eliminated. Monthly mean covering 60°S to 60°N latitude for February 2004 to March 2008 has been analyzed with consistent trends inferred in both hemispheres. The ACE time series have been compared with previously reported surface network measurements, predictions based on upper tropospheric aircraft measurements, and space‐based measurements. The retrieved from the ACE‐FTS spectra are higher on average by a factor of 1.07 ± 0.025 in the Northern Hemisphere and by a factor of 1.09 ± 0.019 on average in the Southern Hemisphere compared to surface station measurements covering the same time span. The ACE‐derived trend is ∼0.2% per year higher than measured at surface stations during the same observation period.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".