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Record W2048837632 · doi:10.1071/mf05059

Tidal stirring and mixing on the Australian North West Shelf

2006· article· en· W2048837632 on OpenAlexaff
Katsuro Katsumata

Bibliographic record

VenueMarine and Freshwater Research · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsCarbon Engineering (Canada)
Fundersnot available
KeywordsInternal tideGeologyHeat fluxEnergy budgetShoalOceanographyFlux (metallurgy)Internal waveMixing (physics)Atmospheric sciencesHeat transferEnvironmental scienceMechanicsPhysics

Abstract

fetched live from OpenAlex

Strong tides on the Australian North West Shelf lead to vigorous vertical stirring and mixing. This activity near the shelf break is directly quantified with a numerical model. The model has a spatial and temporal resolution of about 800 m and 13 s respectively. The model result shows internal tides steepening as they shoal onto the slope, which is near critical for the semidiurnal tide. The main energy balance of the internal tides is between incoming internal tidal energy flux and the dissipation. The vertical and horizontal distribution of the heat flux carried by the internal tides is complex and difficult to parameterise. When area-averaged in the model region (38 km by 36 km), the vertical heat flux is in the order of –10-5 deg m s-1 (positive upward). This translates to a vertical diffusivity of 10-4 to 10-2 m2 s-1, which is an order of magnitude larger than the subgrid vertical diffusion. Both the warming and cooling rates caused by the convergence and divergence of the heat flux are in the order of 10-6 deg s-1. The neap-spring modulation of the semidiurnal tide did not significantly modify these estimates. These values can explain the vertical heat exchange inferred from large-scale analysis of the heat budget on the Shelf.

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 score0.054
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 studies0.0000.000
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 head0.035
GPT teacher head0.249
Teacher spread0.214 · 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

Citations20
Published2006
Admission routes1
Has abstractyes

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