MOPITT sensitivity studies: Computation of instrument parameter dependencies
Bibliographic record
Abstract
A detailed radiative transfer model of the MOPITT instrument and the Earth's atmosphere was developed and validated. This model simulates the various radiometric sources for the instrument (atmosphere, space, onboard and laboratory calibration targets) as well as a number of detailed internal features not considered in the operational MOPITT retrieval algorithm (optical imbalance, chopper emission, etc.). It was employed to establish sensitivity levels of MOPITT to the uncertainty in various instrument parameters. It should also prove useful in the development of successor MOPITT instruments, and related correlation radiometers. The sensitivity studies highlighted several critical parameters including the filter positions, gas cell lengths and pressures, and optical imbalance. MOPITT calibration events are shown to reduce the impact of instrument parameter uncertainties on target gas retrievals, but in-flight validation is likely required for MOPITT to achieve its stated accuracy objectives.
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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 | 0.000 | 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) | 0.000 | 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".