MétaCan
Menu
← Back to cohort
Record W2047861090 · doi:10.5194/acpd-8-13355-2008

Nadir measurements of the Earth's atmosphere with the ACE FTS: first results

2008· article· en· W2047861090 on OpenAlexafffundabout
W. F. J. Evans, Eldon Puckrin, Kaley A. Walker, Debra Wunch, J. R. Drummond, Sean D. McLeod, C. D. Boone, P. F. Bernath

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of WaterlooUniversity of TorontoDefence Research and Development Canada
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space Agency
KeywordsNadirTrace gasAtmosphere (unit)OzoneOccultationSatelliteEnvironmental scienceOzone layerSpectrographAtmospheric sciencesStratosphereAtmospheric chemistryRemote sensingSpectral lineMeteorologyPhysicsGeologyAstronomy

Abstract

fetched live from OpenAlex

Abstract. The primary objective of the Canadian SCISAT mission is to investigate the processes that control the distribution of ozone in the stratosphere. The SCISAT satellite consists of two major science instruments: an Atmospheric Chemistry Experiment (ACE) high-resolution Fourier-transform spectrometer (FTS) and an ultraviolet/visible/near-infrared spectrograph. These instruments primarily function in occultation mode; however, during the dark portion of the orbit the Earth passes between the sun and the satellite. This configuration provides the opportunity to acquire some nadir-view FTIR spectra of the Earth. Nadir spectra obtained with the ACE FTS are presented and analyzed for methane, ozone and nitrous oxide. The measurements show that the instrument should have sufficient signal-to-noise ratio to determine column gas amounts of the major trace constituents in the atmosphere. Possible applications of these measurements to the study of global warming and air pollution monitoring are discussed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.026
GPT teacher head0.187
Teacher spread0.161 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2008
Admission routes3
Has abstractyes

Explore more

Same topicAtmospheric Ozone and Climate→French-language works237,207→