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Record W2043535092 · doi:10.1029/2009gl039737

First Satellite Observations of Meteoric Smoke in the Middle Atmosphere

2009· article· en· W2043535092 on OpenAlexaff
Mark E. Hervig, L. L. Gordley, Lance E. Deaver, D. E. Siskind, M. H. Stevens, James M. Russell, S. M. Bailey, Linda Megner, Charles Bardeen

Bibliographic record

VenueGeophysical Research Letters · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsCanadian Space Agency
Fundersnot available
KeywordsAeronomyAtmosphere (unit)Atmospheric sciencesAltitude (triangle)SatelliteMesosphereOccultationGeologyMeteor (satellite)Environmental scienceClimatologyMeteorologyStratosphereGeographyAstronomyPhysics

Abstract

fetched live from OpenAlex

This work describes the first remote observations of meteoric smoke particles (MSPs) from satellite, by the Solar Occultation For Ice Experiment (SOFIE) onboard the Aeronomy of Ice in the Mesosphere (AIM) platform. The measurements show a layer of MSPs from roughly 35 to 85 km altitude, and indicate a seasonal cycle with reduced MSP abundance during polar summer. The measurements agree favorably with model results, and confirm that MSP transport by the global meridional circulation causes the dramatic reduction in MSPs during polar summer. These new observations represent a major advance in our ability to understand a hitherto poorly characterized class of particles that are thought to be important in numerous atmospheric and terrestrial processes.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.087
GPT teacher head0.298
Teacher spread0.211 · 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

Citations99
Published2009
Admission routes1
Has abstractyes

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