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Record W2796282208 · doi:10.1002/2016ja023761

A simulation study of seasonal variations in the thermospheric upward propagation of migrating terdiurnal tide

2017· article· en· W2796282208 on OpenAlexaboutno aff
Haibing Ruan, Wenbin Wang, Xiankang Dou, Jia Yue, Jian Du, Jiuhou Lei

Bibliographic record

VenueJournal of Geophysical Research Space Physics · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
FundersChinese Academy of Sciences Key ProjectUniversity of Science and Technology of ChinaNational Natural Science Foundation of ChinaChinese Academy of SciencesNational Center for Atmospheric ResearchThousand Young Talents Program of ChinaNational Science Foundation
KeywordsThermosphereAtmospheric tideAtmospheric sciencesAdvectionMesosphereIonosphereClimatologyEnvironmental scienceGeologyPhysicsGeophysics

Abstract

fetched live from OpenAlex

Abstract In this study, the Thermosphere Ionosphere Electrodynamics Global Circulation Model and the extended Canadian Middle Atmosphere Model are utilized to investigate the seasonal variations of the upward propagation of the migrating terdiurnal tide from the mesosphere and lower thermosphere (MLT). Three main conclusions are drawn from a series of controlled simulations: (1) The background thermospheric zonal and meridional winds and neutral temperature can affect the upward propagation of the terdiurnal tide. (2) The background zonal winds can play an important role in the variation of the vertical advection and adiabatic cooling/heating, especially in the low thermosphere, and as a consequence, the upward propagation of the terdiurnal tide is modulated. (3) The terdiurnal tide in the MLT has influences not only on the latitudinal distributions and magnitudes of the terdiurnal tide in the upper thermosphere but also on the effect of the background winds on the upward propagation of the terdiurnal tide.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.037
GPT teacher head0.361
Teacher spread0.325 · 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 designSimulation or modeling
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

Citations2
Published2017
Admission routes1
Has abstractyes

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