An observing system simulation experiment to evaluate the scientific merit of wind and ozone measurements from the future SWIFT instrument
Bibliographic record
Abstract
Abstract An observing system simulation experiment was performed to assess the impact and scientific merit of SWIFT stratospheric wind and ozone observations. The SWIFT instrument is being considered for launch later this decade, and is expected to provide unprecedented global information on key aspects of the stratosphere, including tropical winds, ozone fluxes and wintertime variability. It was found that SWIFT wind observations will have a significant impact on analyses in the tropical stratosphere (except the lowermost levels), and could have a significant impact in the extratropics when the SWIFT observations are available and the flow regime is changing relatively fast. Results indicate that SWIFT ozone observations will have a significant impact when the vertical gradient of ozone is relatively high. The experiments indicate that SWIFT wind observations would improve the analysis of both tropical wind and wintertime variability. The results of this study strongly indicate a beneficial impact from the proposed SWIFT instrument. © Royal Meteorological Society, 2005. D. R. Jacksons's and R. Swinbank's contributions are Crown copyright.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".