MétaCan
Menu
Back to cohort
Record W2046741211 · doi:10.1029/2007ja012854

Seasonal variations of the nighttime O(<sup>1</sup>S) and OH airglow emission rates at mid‐to‐high latitudes in the context of the large‐scale circulation

2008· article· en· W2046741211 on OpenAlexaff
Guiping Liu, G. G. Shepherd, R. G. Roble

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsYork UniversityEnvironment and Climate Change Canada
Fundersnot available
KeywordsAirglowThermosphereAtmospheric sciencesContext (archaeology)MesosphereEnvironmental scienceLatitudeAdvectionSolsticeAtmospheric circulationClimatologyIonospherePhysicsGeologyGeophysicsStratosphereAstronomy

Abstract

fetched live from OpenAlex

The seasonal climatology of the O( 1 S) and OH nighttime airglow in the mesosphere and lower thermosphere (MLT) for the mid‐to‐high latitude region is explored in the context of the large‐scale general circulation. Multiple years of the Wind Imaging Interferometer (WINDII) satellite data from November 1991 to August 1997 are monthly averaged to depict the global patterns of the seasonal variations of the airglow volume emission rates for various altitudes and local times. These observations are compared with the simulations of the Thermosphere‐Ionosphere‐Mesosphere Electrodynamics General Circulation Model (TIME‐GCM). Both the WINDII and the TIME‐GCM results display the semi‐annual and annual variations of the O( 1 S) and OH airglow emission rates for specific altitudes and local times. The TIME‐GCM reproduces most of the emission variation signatures observed by WINDII, but provides additional information on vertical advection and downward mixing of atomic oxygen. The study indicates that vertical advection associated with the tides and the large‐scale circulation plays a major role in the airglow seasonal variations. The annual influence of the large‐scale circulation appears more clearly in the mesosphere than in the lower thermosphere, while the semi‐annual variation occurs only in the lower thermosphere.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.042
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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 teacher head, 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

Citations58
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Geophysical Research AtmospheresSame topicIonosphere and magnetosphere dynamicsFrench-language works237,207