Tropospheric Emission Spectrometer (TES) Satellite Validations of Ammonia, Methanol, Formic Acid, and Carbon Monoxide over the Canadian Oil Sands
Bibliographic record
Abstract
the urls link to the data archive of the troposphere emission spectrometer tes retrievals these include the transects included in the canadian tar sands study a brief description of tes is listed below tes is a spectrometer that measures the infrared light energy radiance emitted by earth s surface and by gases and particles in earth s atmosphere every substance warmer than absolute zero emits infrared radiation at certain signature wavelengths spectrometers measure this radiation as a means of identifying the substances tes has very high spectral resolution which gives it the ability to pinpoint the wavelengths at which the substances are emitting this enables precise identification of the substances and also provides information about their location in the atmosphere emission wavelengths can vary with temperature and pressure so seeing the emissions with great precision enables scientists to infer the temperature and pressure of the chemicals from which they came this in turn implies that the chemicals being observed are at a certain altitude where those temperatures and pressures apply the ability to determine the altitude of the observed chemicals enables tes to distinguish radiation from the upper and lower atmosphere and focus on the lower layer the troposphere since it observes light in the infrared range of the electromagnetic spectrum similar to night vision goggles tes can observe both day and night its spectral range overlaps that of hirdls another of the instruments aboard the aura satellite so in addition to its work in the troposphere tes can supplement hirdls measurements of chemicals in the stratosphere that are common to both instruments as well as help scientists measure additional constituents of the stratosphere this dataset is associated with the following publication shephard m w c mclinden k e cady pereira m luo s g moussa a leithead j liggio r m staebler a akingunola p makar p lehr j zhang d k henze d b millet j bash l zhu k c wells s l capps s chaliyakunnel m gordon k hayden j r brook m wolde and s li tropospheric emission spectrometer tes satellite observations of ammonia methanol formic acid and carbon monoxide over the canadian oil sands validation and model evaluation atmospheric measurement techniques copernicus publications katlenburg lindau germany 8 5189 5211 2015
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".