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Record W2332498305 · doi:10.1061/40990(324)18

Primitive Equation Alternatives to the Wave Equation Formulation

2008· article· en· W2332498305 on OpenAlexaff
Roy A. Walters, Daniel R. Le Roux

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Numerical Methods in Computational Mathematics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSpurious relationshipFinite element methodWave equationAmplitudeMathematical analysisMathematicsApplied mathematicsPhysics

Abstract

fetched live from OpenAlex

In the late 1970's, the wave equation formulation of the shallow water equations appeared to be one of the few options for finite-element model development. Spurious pressure modes occurred in most primitive equation formulations because of the coupling between the gravity wave terms in the continuity and momentum equations. However, several new and rediscovered elements make a primitive equation approach viable and offer advantages over the wave equation methods. Some of the strengths of the wave equation formulation are the amplitude and phase accuracy for the explicit version, good efficiency, and absence of spurious pressure modes. Some major shortcomings are poor accuracy for the implicit version and poor stability when advection becomes important. A finite element that provides a close replacement for the wave equation formulation is the P1NC-P1 element which has linear non-conforming bases for velocity and linear conforming bases for sea level. The latter are the same as the linear bases used with the wave equation approach; hence, there is a close correspondence in data structure between the two approaches. Used in conjunction with the primitive equations, the approach with this element provides all the same strengths as the wave equation formulation but not the weaknesses. This approach has better amplitude and phase accuracy for both explicit and implicit methods, has good efficiency, has no spurious modes, and can be used with a wide variety of advection operators including ELM and semi-Lagrangian methods. In addition, investments in software infrastructure can be retained because of the similar data structure in the two approaches.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.266

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 head0.145
GPT teacher head0.327
Teacher spread0.182 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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