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Record W7105679600 · doi:10.24400/527896/a03-2025.4129

Revealing the submesoscale structure of subthermocline eddies in the North East Pacific

2025· article· W7105679600 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2025
Typearticle
Language
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsFisheries and Oceans CanadaUniversity of Victoria
Fundersnot available
KeywordsEddySubmarine pipelineGliderSatelliteGeostrophic windTransectDrifterBoundary currentSea-surface heightDownwelling

Abstract

fetched live from OpenAlex

The california undercurrent in the Northeast Pacific interacts with the shelf break creating instabilities associated with the generation of sub surface eddies called Cuddies. These subthermocline eddies are key agents in offshore transport of heat, salt, oxygen and nutrients, yet their limited surface expression has historically hindered their detection via traditional satellite altimetry. In this study, we investigate the vertical and horizontal structure of a Cuddy, using underwater glider observations and satellite data, including the high-resolution Surface Water and Ocean Topography (SWOT) mission. Glider transects reveal a subsurface-intensified lens at ~250 m depth, characterized by warm and salty Pacific Equatorial Waters. SWOT captures the eddy with greater intensity and finer-scale structure than conventional altimetry (DUACS), resolving submesoscale features and spiral-shaped internal jets not seen in DUACS. In addition, SWOT-derived geostrophic velocities were compared with surface velocities inferred from satellite chlorophyll imagery showing high correlation (R2 = 0.78). These results highlight SWOT’s unique capability to detect the submesoscale surface imprint of subsurface eddies, enhancing our understanding of eastern boundary current dynamics and cross-shelf exchange

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

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)0.0000.000

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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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