Upper stratospheric O 3 recovery as observed by IASI over 10 years of measurements
Bibliographic record
Abstract
In this study, we assess how daily ozone (O3) measurements from the first ten years of the Infrared Atmospheric Sounding Interferometer (IASI/MetOp-A) operation can contribute to the determination of the processes driving O3 variability and to the monitoring of long-term trends in the stratosphere. To that end, we rely on the IASI ozone profiles retrieved with the Fast Optimal Retrievals on Layers for IASI (FORLI) software set up at ULB for near real time and large scale processing of IASI data. We present the global fingerprints of recent changes in the stratospheric O3 measured over January 2008 - December 2017. Using a dedicated regression model applied on gridded daily mean O3 time series, we discriminate anthropogenic trends from various modes of natural variability which are accounted for in the regression model by a series of geophysical parameters. The results show that the effectiveness of the Montreal Protocole is measureable by IASI in the upper stratosphere at a global scale and, more particularly, at mid-high latitudes of both hemispheres where the trend reaches +1.5 DU/decade. Nevertheless, we calculate that 5 years of additional measurements are required to detect an unequivocal upper stratospheric O3 recovery of |1.5| DU/decade at a global scale.
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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) | 0.000 | 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) | 0.000 | 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".