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Record W2018966035 · doi:10.1002/joc.2329

Eastward shift of the Pacific/North American pattern on an interdecadal time scale and an associated synoptic eddy feedback

2011· article· en· W2018966035 on OpenAlexaboutno aff
Yun‐Young Lee, Jong‐Seong Kug, Gyu‐Ho Lim, Masahiro Watanabe

Bibliographic record

VenueInternational Journal of Climatology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
Fundersnot available
KeywordsEmpirical orthogonal functionsClimatologyStorm trackStormGeologyPacific decadal oscillationOceanographySea surface temperature

Abstract

fetched live from OpenAlex

Abstract In this study, we investigate the interdecadal changes in the Pacific/North American (PNA) pattern during the winter season (November–February) that accompanies the global‐scale climate shift in the late 1970s. In the Empirical Orthogonal Function (EOF) analysis, the PNA pattern shows three distinctive features during the period of 1983–2002 in contrast with that of the previous decades (1959–1977): the extension of the central North Pacific cell into the Gulf of Alaska, the eastward shift of the action centre of the Canadian cell, and weakening of the North America cell. Pacific/North American structural changes are closely related to the southeastward shift of the storm track that causes the vigorous synoptic eddy feedback region to move farther east. Eddy activity feeds the cyclonic flow at the eastern part of conventional central North Pacific cell, following the pattern change of storm track. Copyright © 2011 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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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

Citations19
Published2011
Admission routes1
Has abstractyes

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