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Record W7006228146

Temperature trends at 90 km over Svalbard, Norway (78°N l6°E),
\nseen in one decade of meteor radar observations

2012· article· en· W7006228146 on OpenAlexaboutno aff

Bibliographic record

VenueMaynooth University ePrints and eTheses Archive (Maynooth University) · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsMeteor (satellite)StratopauseRadarAltitude (triangle)ResidualSatelliteFlux (metallurgy)Universal TimeMeteoroidTime lag
DOInot available

Abstract

fetched live from OpenAlex

Temperatures at 90 km altitude above Svalbard (78°N, l6°E) have been determined
\nusing a meteor wind radar and subsequently calibrated by satellite measurements for
\nthe period autumn 2001 to present. The dependence of the temperatures on solar driving
\nhas been investigated using the Ottawa 10.7 em flux as a proxy. Removing the response of
\nthe temperatures to the seasonal and solar cycle variations yields a residual time series
\nwhich exhibits the negative trend of -4 ± 2 K decade -I. We indicate that, given the
\nmonth-to-month variability and memory in the time series, for a 90% confidence in this
\ntrend, we require only 55 months of data- considerably less than the amount available.
\nCooling of the middle atmosphere, which would be strongly supported by these results,
\nwould result in contraction and subsequent lowering of pressure surfaces; we explain that
\nincluding a negative trend in the pressure model used to obtain temperatures from meteor
\ntrain echo fading times would also merely serve to augment the observed 90 km cooling.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 science0.0000.001
Research integrity0.0000.000
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 head0.018
GPT teacher head0.210
Teacher spread0.192 · 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.

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
Published2012
Admission routes1
Has abstractyes

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