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Record W4411384296 · doi:10.1038/s41612-025-01102-z

Link of the Warm Arctic Cold Eurasian pattern to the Southern Annular Mode variability

2025· article· en· W4411384296 on OpenAlexaff
Hai Lin, Bin Yu, Nicholas M. J. Hall

Bibliographic record

Venuenpj Climate and Atmospheric Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsMode (computer interface)ArcticThe arcticGeologyClimatologyGeographyOceanographyComputer science

Abstract

fetched live from OpenAlex

Abstract The Warm Arctic–Cold Eurasian pattern (WACE) is a pair of opposing surface air temperature anomalies over the polar region and the midlatitude Eurasian continent, which is usually associated with Arctic Sea ice melt and midlatitude extreme weather. The Southern Annular Mode (SAM) is the leading mode of atmospheric variability in the Southern Hemisphere. Here we show evidence of an inter-hemispheric connection between SAM and WACE during boreal winter. A positive SAM leads to a negative WACE (and vice versa) 30–40 days later. This lagged remote influence of SAM is transmitted via a Rossby wave that crosses the equator in the eastern Pacific and tropical Atlantic. The ensuing WACE temperature pattern is then amplified by the greenhouse effect associated with the local humidity response. SAM also leads to a convection anomaly in the equatorial Atlantic which generates a Northern Hemisphere Rossby wave that reinforces WACE. The link between SAM and WACE revealed here indicates a dynamical origin for WACE. This long-distance teleconnection, and the lagged association between SAM and WACE may be relevant for subseasonal-to-seasonal predictions.

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)0.002
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 score0.280
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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