Carbonyl fluoride (COF2) vertical information above Jungfraujoch by FTIR and multi-spectra fitting: error budget and comparisons with KASIMA 3-D CTM model calculations
Bibliographic record
Abstract
The major sources of fluorine in the stratosphere are CFC-11 and CFC-12. During the decomposition process, fluorine is first present in the form of carbonyl compounds (e.g. carbonyl fluoride (COF2)). Given its long life time, COF2 is the second most abundant stratospheric fluorine reservoir. Earliest, COF2 vertical distributions were derived from occultation measurements performed by the ATMOS instrument during the SPACELAB-3 Space Shuttle mission in 1985. The Canadian FTIR spectrometer ACE-FTS, onboard the SCISAT-1 satellite, is the first instrument since the last ATMOS flight in 1994, to record COF2 vertical profiles from space. Four years of ACE-FTS occultation measurements are presently available. Several COF2 IR absorption lines located either in the so-called InSb (1-5 µm) and MCT (2-16 µm) spectral ranges can be used to determine its total column from ground-based high-resolution FTIR observations. In addition, we have proposed, during the EGU General Assembly 2007, an original retrieval procedure that allows us to derive information on the COF2 vertical distribution, between 17 and 30 km, from ground-based FTIR spectra recorded at Jungfraujoch. This “multi-microwindows multi-spectra” approach, using the SFIT-2 v3.91 algorithm, has been completely characterized in terms of fitting strategy and information content. Some examples of COF2 vertical profiles inversions were also presented. This year, we will complete the characterization of the multi-microwindows multi-spectra fitting procedure by exposing the full error budget affecting our COF2 partial and total columns products. Also, comparisons with COF2 model runs generated by the 3D CTM KASIMA (KArlsruhe SImulation model of the Middle Atmosphere) will be presented and critically discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".