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Record W2729319959

CLOUD AND AEROSOL PROPERTIES MEASURED WITH A LIDAR IN THE HIGH ARCTIC AT EUREKA

2010· article· en· W2729319959 on OpenAlexvenueaboutno aff
C. W. Perro

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsAerosolLidarArcticEnvironmental scienceThe arcticMeteorologyCloud computingRemote sensingClimatologyAtmospheric sciencesGeographyGeologyOceanographyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The recently commissioned CANDAC Rayleigh?Mie?Raman Lidar (CRL) in Eureka, Nunavut, finished its first winter measurement campaign in 2010, during which over 900 hours of data was collected. A comparison of several inversion techniques are shown to de- termine which one is most appropriate for the CRL aerosol and cloud analyses. Results of a newly implemented automatic beam steering program are shown and discussed. Measure- ments of water vapour and aerosols showed a distinct layering effect in the troposphere. Back trajectories of these layers are compared to the CRL measurements to determine origins of these layers. Measurements of significant aerosol concentrations in the lower stratosphere were seen during the campaign, which were from the Sarychev eruption in June of 2009. The aerosol evolution over Eureka is shown by using different ground-based and satellite-based instruments. Calculations using multi-wavelength aerosol and cloud measurements are used to give insight on aerosol and cloud particle properties.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.991

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 head0.003
GPT teacher head0.118
Teacher spread0.115 · 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
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicMaritime Transport Emissions and EfficiencyFrench-language works237,207