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Record W1971514998 · doi:10.1029/2005jd005764

North Atlantic Oscillation–related climate variability in a regional atmospheric model

2005· article· en· W1971514998 on OpenAlexaboutno aff
Michael Previdi, Dana E. Veron

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
Fundersnot available
KeywordsNorth Atlantic oscillationClimatologyPrecipitationClimate modelForcing (mathematics)GroenlandiaRange (aeronautics)Greenland ice sheetEnvironmental scienceGeologyIce sheetClimate changeOceanographyGeographyMeteorology

Abstract

fetched live from OpenAlex

Climate variability over the Greenland ice sheet associated with the North Atlantic Oscillation (NAO) is simulated with the Polar MM5 (PMM5) regional climate model (RCM). Two five‐member monthly ensembles, each representative of high or low NAO extremes, are made, with data from the European Centre for Medium‐Range Weather Forecasts 40‐year reanalysis (ERA‐40) used to provide the forcing for the RCM runs. Ensemble differences between the high and low NAO cases are discussed, and model output is compared to ERA‐40 and to observations from automatic weather stations over Greenland. PMM5 is shown to reproduce several well‐known features of NAO‐related climate variability in the Greenland region, including colder near‐surface air temperatures, lower sea level pressure, stronger westerly winds south of Greenland, and reduced precipitation over western Greenland and the Labrador Sea during high NAO months.

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 score0.144
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.308
Teacher spread0.271 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

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