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Record W1515187809 · doi:10.1002/2015ja021208

Double‐layer structure of OH dayglow in the mesosphere

2015· article· en· W1515187809 on OpenAlexaff
Hong Gao, Jiyao Xu, W. E. Ward, Anne K. Smith, Guangming Chen

Bibliographic record

VenueJournal of Geophysical Research Space Physics · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of New Brunswick
FundersNational Natural Science Foundation of ChinaChinese Academy of SciencesNational Center for Atmospheric ResearchNational Science Foundation
KeywordsMesopauseAirglowThermosphereMesosphereAtmospheric sciencesDaytimeDepth soundingAtmosphere (unit)IonosphereLatitudeSounding rocketLocal timeEquatorNight skyPhysicsGeologyMeteorologyGeophysicsAstronomyStratosphere

Abstract

fetched live from OpenAlex

Abstract Observations by the Sounding of the Atmosphere using Broadband Emission Radiometry instrument on the Thermosphere‐Ionosphere‐Mesosphere Energetics and Dynamics satellite from January 2002 to June 2014 are used to study the vertical structure of OH dayglow. The results indicate for the first time that there is a double‐layer structure in the distributions of 12 year averaged OH airglow emission, [O 3 ], and [H] during the daytime. The upper layer of OH dayglow is located in the mesopause region (~88 km) at a similar altitude to that of the OH nightglow. The lower layer is situated in the range of 70–85 km. Both the peak emission and height of the lower layer increase with local time. The distance between the two layers decreases with local time. At the equator, the lower layer forms at ~09:00 LT and lasts for about 8 h; during this time the interlayer distance decreases from 13 km to 5 km. The double‐layer structure is more obvious and longer‐lived during the equinoxes and at lower latitudes. The double‐layer structure of OH dayglow emission is a long‐term stable structure and is mainly caused by photochemical processes involving [O 3 ]. It is also modulated by background atmospheric temperature and [H].

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.607

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 head0.050
GPT teacher head0.347
Teacher spread0.298 · 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 designTheoretical or conceptual
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

Citations21
Published2015
Admission routes1
Has abstractyes

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