Satellite based retrieval of aerosol optical thickness: The effect of sun and satellite geometry
Bibliographic record
Abstract
The DOE research satellite instrument, the Multispectral Thermal Imager (MTI), has several spectral bands in the visible and near infrared part of the spectrum that can be used for AOD (Aerosol Optical Depth) retrieval. Small pixel size (5 m × 5 m in the visible and 20 m × 20 m in the infrared) eliminates most sub‐pixel size cloud problems. We analyze 18 pairs of images, taken close to nadir and back along the track at a viewing angle around 60°, and compare results of a single view AOD retrieval algorithm with the AERONET measurements. We find that the single view AOD retrieval algorithm is more accurate at smaller scattering angles (at off‐nadir view). The root mean square (RMS) error of the MTI AOD single view retrieval in this region is around 0.03 compared to 0.11 for larger scattering angles at near‐nadir view.
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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 | 0.001 |
| 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 | 0.001 |
| 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 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".