Recent space sensor developments at ABB Analytical for weather forecasting applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The generation of daily weather forecasts relies to a large extent on the use of data from dedicated satellites. In recent years, several programs have been targeted at improving the sensors providing weather forecast data, both in polar and geostationary orbits. As part of the US National Polar-orbiting Operational Environmental Satellite System (NPOESS), the Cross-track Infrared Sounder (CrIS) is the new generation of sounding instruments providing vertical profiles from polar orbits of atmospheric temperature, pressure, and humidity. ABB Analytical has developed the interferometer module and the internal calibration target for the CrIS sensor. An overview of these contributions is presented. The Hyperspectral Environmental Suite (HES) is meant to be the next generation of US weather sounders from geostationary orbits. In Europe, the Meteosat Third Generation will also make use of an improved infrared sounder, the IRS. ABB Analytical has developed a generic interferometer module suitable for these two programs. Starting from the basic mission requirements, ABB Analytical has derived independently the requirements for the interferometer modules that would satisfy the needs of these two programs. A design was developed and two prototypes were built and tested. This paper also describes some of the results of this work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it