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Record W1626780570

Comparison of Satellite and Ground-Based Data on Polar Mesospheric Clouds

2006· article· en· W1626780570 on OpenAlexaboutno aff
Jodie Tvedtnes, M. J. Taylor, M. T. DeLand, Mark Zalcik

Bibliographic record

VenueDigital Commons - USU (Utah State University) · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPolarSatelliteRemote sensingEnvironmental scienceMeteorologyGeologyPhysicsAstronomy
DOInot available

Abstract

fetched live from OpenAlex

Data from the Solar Backscatter Ultraviolet (SBUV) instruments on the NOAA polar orbit satellites have been analyzed to determine the presence of Polar Mesospheric Clouds (PMCs) over the North American continent for five consecutive years from 2001 through 2005. PMCs are ice clouds that form near the mesopause (80-85 km) during summer months at high latitudes. From the ground, these clouds can be seen during twilight hours as Noctilucent or "night shinning" Clouds (NLC) and their occurrence has been growing over the last several decades prompting speculation concerning their role in climate change. For this poster we compare reports of displays seen from the ground over the North American continent primarily by observers participating in the Canadian noctilucent cloud observing network CAN AM with the SBUV satellite data. Our primary goal is to investigate the occurrence and spatial extent of the clouds, as well as to search for unusual low latitude events (<50 deg) that have occasionally been seen as far south as Logan, Utah.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.948

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 science0.0000.000
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 head0.015
GPT teacher head0.226
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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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