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Record W2771297005

Radiation of internal waves by symmetrically unstable fronts

2016· article· en· W2771297005 on OpenAlexfundno aff
Nicolas Grisouard, Morgan B. Fox, Japinder Nijjer

Bibliographic record

VenueeScholarship (California Digital Library) · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyUniversity of TorontoGovernment of OntarioCompute Canada
KeywordsGeostrophic windDissipationInternal waveKinetic energyPhysicsGeophysicsMesoscale meteorologyGeologyHydrostatic equilibriumMeteorologyMechanicsClassical mechanicsAstronomy
DOInot available

Abstract

fetched live from OpenAlex

Most of the ocean's kinetic energy exists in the form of mesoscale eddies in geostrophic and hydrostatic balance.Because of their relatively large horizontal size, they tend to be dynamically robust, and it is unclear how they dissipate their energy.Submesoscale oceanic density fronts are believed to be hotspots for such dissipation processes, but their dynamics are poorly known.We present preliminary results about a mechanism through which a front loses energy by releasing it in the form of internal inertia-gravity waves.A mid-latitude, submesoscale ocean density front is set up to be symmetrically unstable over a confined region of space.If the growth rate is large enough, the growth phase is accompanied by significant near-inertial wave radiation, which we illustrate numerically.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.173
Teacher spread0.167 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2016
Admission routes1
Has abstractyes

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