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Record W2125432477 · doi:10.1002/joc.1015

Impact of Labrador sea‐ice extent on the North Atlantic oscillation

2004· article· en· W2125432477 on OpenAlexaboutno aff
Nils Gunnar Kvamstø, Paul Skeie, David B. Stephenson

Bibliographic record

VenueInternational Journal of Climatology · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
FundersCenter for Neuroscience and Regenerative MedicineNorges Forskningsråd
KeywordsNorth Atlantic oscillationClimatologySea iceArctic ice packBaroclinityArctic sea ice declineGeologySea ice concentrationArctic oscillationOceanographyEnvironmental scienceDrift iceSea ice thicknessNorthern Hemisphere

Abstract

fetched live from OpenAlex

Abstract The wintertime atmospheric response to imposed sea‐surface temperature and sea‐ice extent changes in the Labrador Sea has been investigated by means of ensemble simulations with an atmospheric general circulation model. Low temperatures and heavy ice conditions in the Labrador Sea produce a statistically significant (at 95% confidence) negative North Atlantic oscillation–Arctic oscillation (NAO–AO) response. Conversely, reduced sea‐ice extent in the Labrador Sea produces a positive NAO–AO response. The two simulations with opposite sea‐ice conditions in the Labrador Sea exhibit a maximum mean wintertime difference of 4–5 hPa in sea‐level pressure corresponding to a substantial and statistically significant change in the NAO–AO index of 0.7 standard deviations. The large‐scale response to a local perturbation of sea‐ice conditions is associated with marked changes in the transient eddies (synoptic storms). Changes in the sea‐ice cover cause changes in low‐level baroclinicity that perturb the travelling baroclinic disturbances, which then bring the signal downstream to manifest a non‐local Atlantic‐wide response. The atmospheric response suggests that the sea ice in the Labrador Sea is able to provide an important negative feedback on long‐term NAO–AO variations. Copyright © 2004 Royal Meteorological Society

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
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 science0.0000.000
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 head0.021
GPT teacher head0.294
Teacher spread0.273 · 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

Citations71
Published2004
Admission routes1
Has abstractyes

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