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Record W3016545602

Resonant ocean current responses driven by coastal winds near the critical latitude

2016· article· en· W3016545602 on OpenAlexaff
Sung Yong Kim, G. B. Crawford

Bibliographic record

VenueAGUOS · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsOntario Tech UniversityVancouver Island University
Fundersnot available
KeywordsLatitudeWind stressClimatologySea breezeEkman transportCurrent (fluid)Atmospheric sciencesAmplitudeGeologyMiddle latitudesEnvironmental scienceOceanographyPhysicsGeodesyUpwelling
DOInot available

Abstract

fetched live from OpenAlex

The currents forced by wind stress near the critical latitude (30°N or 30°S) appear enhanced as a result of the combination of natural modes of ocean currents (e.g., near-inertial motions) and diurnal land/sea breeze-driven currents. Here we assess the wind-current transfer function, derived from observations of coastal surface currents and surface winds off the U.S. West Coast (32°N to 47°N), as a function of the latitude (alongshore direction) and frequency. We compare the transfer functions at the diurnal frequency derived from observations and two analytical models (e.g., the Ekman model and a near-surface averaged Ekman model). The amplitude of the data-derived transfer function decreases with increasing distance from the critical latitude, and its argument varies nearly within the range estimated from two analytical models. Our results confirm that the resonant wind-current responses near the critical latitude are 8 to 12 times stronger than the purely diurnal land/sea breeze-forced currents in other latitudes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.239
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.

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
Published2016
Admission routes1
Has abstractyes

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