The Effect of Stratification on the Tidal Circulation over the Scotian Shelf and the Gulf of St. Lawrence: A Numerical Study
Bibliographic record
Abstract
A three-dimensional numerical shelf circulation model is used to examine the effect of the seasonal variation in water column stratification on the tidal circulation over the Scotian Shelf and the Gulf of St. Lawrence. The model is driven at its lateral open boundaries by tidal forcing expressed in terms of sea surface elevations and depth-averaged currents for five tidal constituents (M2, N2, S2, K1, and O1). Three numerical experiments are conducted: the control run (including the full suite of forcings and dynamics), a barotropic run, and one that is similar to the control run but without the baroclinic pressure gradients. Each model run lasts one year and is preceded by a spin-up period of four months that is initialized with climatological hydrographic states. The focus of this study is on the semi-diurnal tide M2, which is one of the dominant tidal constituents in this region. Comparison of model results in the three experiments suggests that the seasonal variation in stratification affects the M2 tidal circulation along the shelf break and over the deep waters off the Scotian Shelf through its influence on the baroclinic pressure gradient, and affects the M2 tidal circulation in Northumberland Strait (in the Gulf of St. Lawrence) through its influence on vertical mixing and bottom stress.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".