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Record W2189180073

Joint distributions of Wind/Waves/Current in West Africa and derivation of multivariate extreme I-FORM contours

2007· article· en· W2189180073 on OpenAlexaff
R. Nerzic, C. Frelin, Marc Prevosto, Valérie Quiniou-Ramus

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnergy Load and Power Forecasting
Canadian institutionsCanadian Association for Laboratory Animal Science
Fundersnot available
KeywordsSwellExtreme value theoryWind waveCoherence (philosophical gambling strategy)Generalized extreme value distributionJoint probability distributionSignificant wave heightWave heightMathematicsWind speedPrincipal component analysisCurrent (fluid)MeteorologyStatisticsGeodesyGeologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

In-situ measurements over a three year period have been extensively analysed from a statistical point of view. Distributions of wind and current (intensity and direction), together with waves systems- main swell, secondary swell and wind sea- (peak period, significant wave height, spectral width, direction) are analysed jointly, looking for possible correlation between the variables (principal component analysis, statistical tests,...). When correlation was proven, joint distributions have been estimated and modelled by analytical distribution laws. As distribution of extreme values may differ from distribution for intermediate values, matching of the two solutions is performed. Finally, I-FORM contours are derived based on the analytical laws. For coherence with extreme value prediction, some constraints are imposed so that 100 year extreme value estimation for the significant wave height, current velocity and wind velocity is consistent

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.285

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 studies0.0000.000
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 head0.036
GPT teacher head0.236
Teacher spread0.200 · 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

Citations14
Published2007
Admission routes1
Has abstractyes

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