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Record W1986574786 · doi:10.1080/07055900.2012.686900

A Circulation Model for the Discovery Islands, British Columbia

2012· article· en· W1986574786 on OpenAlexaffvenueabout
M. G. G. Foreman, Dario Stucchi, Kyle A. Garver, Darren Tuele, Jessica Isaac, T. Grime, Ming Guo, J. Morrison

Bibliographic record

VenueATMOSPHERE-OCEAN · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsUniversity of VictoriaFisheries and Oceans Canada
Fundersnot available
KeywordsCurrent meterCurrent (fluid)ClimatologyEddyTide gaugeCirculation (fluid dynamics)GeologyFlow (mathematics)Ocean currentForcing (mathematics)MeteorologyEnvironmental scienceOceanographyGeographyPhysicsSea levelMechanicsTurbulence

Abstract

fetched live from OpenAlex

A finite volume, ocean circulation model was applied to the Discovery Islands region of British Columbia and used to simulate the three-dimensional velocity, temperature and salinity fields required by a companion biological transport model. The circulation model was initialized with a combination of climatological data and recent temperature and salinity observations, and forced with i) winds measured at seventeen weather stations, ii) the discharges from twelve rivers, and iii) five tidal constituents. A simulation for the period 1 April to 28 April 2010 was evaluated using simultaneous observations from three current meter moorings and the harmonics computed from historical measurements at twenty-four tide gauges. Though the model tidal elevations were shown to be in excellent agreement with the observations, profiles of model tidal speed versus depth generally did not capture observed vertical variations as well. Mean and low-pass filtered flow fields, though reasonably accurate near the surface, were also found to deteriorate farther down the water column. However, near-surface, model current harmonics were shown to be in reasonable agreement with those used to produce annual predictions at five sites in the Canadian Tide and Current Tables. Though the winds were not found to be a significant contributor to mean flow fields over the simulation period, tidal rectification was. Numerous residual and transient eddies that may lead to retentive regions in subsequent Lagrangian studies were predicted by the model. Future work and improvements to overcome model deficiencies are briefly outlined. RÉSUMÉ [Traduit par la rédaction] Nous avons appliqué un modèle de volume fini des courants océaniques à la région des îles Discovery en Colombie-Britannique et nous nous en sommes servis pour simuler les champs de la vélocité, de la température et de la salinité en trois dimensions, exigés par un modèle de transport biologique d'accompagnement. Le modèle de circulation a été initialisé au moyen d'une combinaison de données climatologiques et d'observations récentes liées à la température et à la salinité et il a été forcé avec les vents mesurés à 17 stations météorologiques, le débit de 12 cours d'eau et cinq composantes de marées. Nous avons évalué une simulation pour la période allant du 1er avril au 28 avril 2010 à l'aide d'observations effectuées simultanément par trois courantomètres, et les harmoniques ont été calculées à partir des mesures effectuées dans le passé à 24 marégraphes. Bien que les hauteurs de la marée établies par le modèle concordent parfaitement avec les observations, les profils de la vitesse de la marée dans le modèle en fonction de la profondeur ne réflétaient généralement pas aussi bien les variations verticales observées. De plus, nous avons constaté que les champs de courant moyens et auxquels on avait appliqué un filtre passe-bas perdaient en précision plus bas dans la colonne d'eau bien que leur valeur près de la surface soit raisonnablement exacte. Cependant, les harmoniques des courants près de la surface, prédites par le modèle concordaient relativement bien avec celles qui avaient été utilisées dans le but d’établir des prévisions annuelles aux cinq emplacements figurant dans les Tables des marées et courants du Canada. Nous avons constaté que les vents ne représentaient pas un apport important par rapport aux champs de courant moyens au cours de la période de simulation, à la différence de la rectification maréale. Le modèle a prédit de nombreuses perturbations transitoires et résiduelles, qui pourraient permettre d’établir les régions de rétention dans les études ultérieures de type Lagrangien. Nous décrivons brièvement les travaux et les améliorations à faire pour corriger les lacunes du modèle.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.199
Teacher spread0.187 · 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 designSimulation or modeling
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

Citations61
Published2012
Admission routes3
Has abstractyes

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