Simulating Seasonal Variability of Circulation and Hydrography on the Scotian Shelf
Bibliographic record
Abstract
A three-dimensional shelf circulation model is used to simulate the seasonal variability of circulation and hydrography on the Scotian Shelf over the eastern Canadian seaboard. The model is a modified form of an operational forecast system known as DalCoast3. The model is forced by forecast winds and atmospheric pressure produced by GEM, a Canadian numerical weather prediction model. Climatological temperature and salinity are used to initialize the model, and as lateral open boundary inputs. The monthly mean currents from a baroclinic circulation model of the northwest Atlantic Ocean are used as inputs to represent remotely forced flows. A new data assimilation method developed by Thompson et al. (2006b) is used to constrain model temperature and salinity to their respective climatologies, while allowing short-term (O(days)) variations to evolve prognostically. The model produces southwestward flows along the Nova Scotian coast and along the shelf break, which have been observed in the past. The pattern of simulated volume transport over the Scotian Shelf is qualitatively similar to those from past model studies, and the transport across a section on the inner shelf is also comparable to values calculated from observations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".