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Record W2018693596 · doi:10.1029/2003gl018542

Nonstationary impact of ENSO on Euro‐Atlantic winter climate

2004· article· en· W2018693596 on OpenAlexaff
Richard J. Greatbatch, Jian Lu, K. Andrew Peterson

Bibliographic record

VenueGeophysical Research Letters · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsDalhousie University
Fundersnot available
KeywordsClimatologyExtratropical cycloneTeleconnectionTropicsForcing (mathematics)El Niño Southern OscillationEnvironmental scienceSouthern oscillationTropical AtlanticClimate changeAtmospheric sciencesGeologyOceanographySea surface temperature

Abstract

fetched live from OpenAlex

Previous studies have suggested a lack of robustness over the Euro‐Atlantic sector in the extratropical teleconnection response to ENSO. We use a simple AGCM to show that during the 20 years before and after the late 1970's, the ENSO signal leaving the tropics has the character of a wave train that is similar to the PNA, but is much stronger and penetrates further poleward in the post 1970s period. We also find that the synchronous extratropically‐forced model response is almost the reverse in the post‐ compared to the pre‐late 1970s period. We argue that the change in the signal leaving the tropics is due to the sensitivity of the tropically‐forced signal to changes in the spatial pattern of the tropical forcing. The extent to which the extratropically‐forced response is itself dependent on the tropical forcing, or simply the result of chance, is not clear.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.344
Teacher spread0.303 · 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 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

Citations94
Published2004
Admission routes1
Has abstractyes

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