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Record W2038079100 · doi:10.1504/ijspacese.2013.058846

Satellite observations of thermospheric wave 4 at high latitudes

2013· article· en· W2038079100 on OpenAlexafffund
G. G. Shepherd, Young Min Cho

Bibliographic record

VenueInternational Journal of Space Science and Engineering · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyNational Aeronautics and Space Administration
KeywordsSatelliteLatitudeRemote sensingThermosphereMeteorologyEnvironmental scienceHigh latitudeIonosphereAtmospheric sciencesClimatologyGeologyGeodesyGeophysicsGeographyAstronomyPhysics

Abstract

fetched live from OpenAlex

Satellite observations of the ionosphere and thermosphere routinely reveal a zonal wavenumber 4 pattern in longitude. In the equatorial region, this is attributed primarily to the eastward propagating non-migrating diurnal tide of zonal wavenumber 3 known as DE3. In this report, the wave 4 is identified using daytime thermospheric airglow emission of atomic oxygen at 557.7 nm emitted from the O(1S) level, using the WIND imaging interferometer (WINDII), launched on NASA’s upper atmosphere research satellite (UARS) in 1991. Waves in the airglow emission rate are attributed to variations in the number density of atomic oxygen, but the WINDII interferometer also sees wave 4 in thermospheric winds from the phase shifts of the emission. What is new in this report is the observation of the wave 4 at high latitudes, where it has not been detected before. The characteristics are described and the possible influences 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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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.

Opus teacher head0.007
GPT teacher head0.196
Teacher spread0.189 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

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