Early results and validation of SAGE III-ISS ozone profile measurements from onboard the International Space Station
Bibliographic record
Abstract
Abstract. The Stratospheric Aerosol and Gas Experiment III (SAGE III, 2018) instrument was launched on 19 February 2017 from the NASA Kennedy Space Center and was integrated aboard the International Space Station (ISS). SAGE III-ISS has been providing ozone profile measurements since June 2017. This paper presents an early validation of the Level 2 solar and lunar occultation ozone data products using ground-based lidar and ozonesondes from Hohenpeißenberg and Lauder as well as satellite ozone vertical products from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) instrument. Average differences in the ozone concentration between SAGE III-ISS and Hohenpeißenberg lidar observations for 1 year are less than 10 % between 16 and 42 km and less than 5 % between 20 and 40 km. Hohenpeißenberg ozonesonde comparisons are mostly within 10 % between 18 and 30 km. The Lauder lidar comparison results are less than 10 % between 17 and 37 km, and the Lauder ozonesonde comparison results are less than 10 % between 19 and 31 km. The seasonal average differences in the ozone concentration between SAGE III-ISS and ACE-FTS are mostly less than 5 % between 20 and 45 km for both the Northern Hemisphere and Southern Hemisphere. All results from these comparisons show that the SAGE III-ISS ozone solar data compare well with correlative measurements throughout the stratosphere. With few comparisons available, the percentage difference between the SAGE III-ISS lunar ozone data and the ozonesonde data is less than 10 % between 19 and 27 km. The percentage difference between the SAGE III-ISS lunar ozone data and the ACE-FTS ozone data is less than 10 % between 20 and 40 km.
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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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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 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".