A Generic Flight Interferometer for Hyperspectral Atmospheric Sounding from GEO Orbit
Bibliographic record
Abstract
A new generation of sensors with hyperspectral capabilities is being considered for future Geostationary Earth Orbiting weather satellite. The World Meteorological Organization now officially considers hyperspectral sounding as a vital part of future geostationary platforms to be deployed beyond 2015. This choice is dictated by the scientific interest for more vertical resolution in the sounder data product which suggests that multi-bandpass filter approaches be replaced by those providing true spectral capabilities. Interferometer based sounders were recently selected in Europe and Japan to fulfill this requirement. They offer the possibility to efficiently combine large format 2D imaging and high spectral resolution into a single instrument. The Generic Flight Interferometer presented in this paper incorporates ABB's latest flight heritage from three recent missions using FTSs. It aims at showing the community that this key sounder module can meet science requirements with low development risk and offer the high reliability required on operational programs. Dedicated risk mitigation activities results conducted on a demonstration interferometer coupled with an imaging detector are 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".