Monthly-Mean Circulation in the Flemish Cap Region: A Modeling Study
Bibliographic record
Abstract
A three-dimensional nonlinear finite element model is used to simulate climatological monthly-mean circulation in the Flemish Cap region. The model is forced with monthly-mean wind stresses from the NCEP-NCAR reanalysis data prescribed at the sea surface, and large-scale remote forcing specified at the open boundary from the steric height and determined from a North Atlantic wind-driven circulation model. The model results are consistent generally with previous study results and in approximate agreement with observations for major patterns. They indicate that shelf-edge and upper-slope Labrador Current water is the important source for the Flemish Cap for all seasons. The deep Labrador Current and the North Atlantic Current may modify the water properties and circulation of the Flemish Cap. The Labrador Current bifurcates north of the Flemish Pass, with one branch flowing southward through the Flemish Pass and the other flowing eastward around the Flemish Cap. The southward Flemish Pass flow has a seasonal evolution (peak in December) that is consistent with the upstream shelf-edge Labrador Current off central Labrador that peaks in October. The monthly-mean model solutions indicate that the Flemish Cap features a weak year-round anticyclonic eddy with a mean transport of 0.2 Sv within the 700-m isobath, intensified in August and winter. The eddy seems to be generated by the baroclinicity of the Labrador Current and the sloping bottom topography of the Cap. There is also an anticyclonic partial gyre around the Cap's northern, eastern and southern deep flanks. The associated transport within the 3000-m isobath decreases significantly downstream, and is strongest in summer on the seasonal scale.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".