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Record W4412571151 · doi:10.1080/07055900.2025.2530439

Statistical Modes and Physical Drivers of Multidecadal Sea Surface Temperature Variability in the Northwest Atlantic

2025· article· en· W4412571151 on OpenAlexafffundvenue
Jonathan Coyne, Eric C. J. Oliver

Bibliographic record

VenueATMOSPHERE-OCEAN · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAtlantic multidecadal oscillationSea surface temperatureEnvironmental scienceClimatologyAtlantic hurricaneOceanographyGeology

Abstract

fetched live from OpenAlex

Variations in ocean temperature and the presence of large multidecadal sea surface temperature (SST) oscillation can have a severe impact on Northwest Atlantic climate, ecosystems and fisheries. Differences between historical SST datasets in the regions have also been consistently noted. When determining patterns of variability in Northwest Atlantic SST, steps should be taken to consider cross-dataset variability. Here, a novel combined-dataset approach from 1901 to 2010 was used along with an extended empirical orthogonal function (EEOF) analysis to determine the leading modes of variability over the Northwest Atlantic shelf and slope. Second, a mixed-layer heat budget from 1850 to 2015 was used to determine the dominant physical processes driving yearly-to-multidecadal variability across the Northwest Atlantic shelf and slope. Results from the EEOF suggest that positive Atlantic Multidecadal Oscillation (AMO) years are driven by positive North Atlantic Oscillation years (NAO).

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)0.001
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 score0.144
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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 routes3
Has abstractyes

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