Impact of the Surface Stress on the Volume and Freshwater Transport Through the Canadian Arctic Archipelago From a High‐Resolution Numerical Simulation
Bibliographic record
Abstract
Abstract We use a numerical model forced with high temporal and spatial resolution atmospheric forcing to evaluate the volume and freshwater transport through the Canadian Arctic Archipelago (CAA). On average, the simulated inflow through the Queen Elizabeth Islands represents 40% of the transport entering the CAA through M'Clure Strait. The transport through Admunsden Gulf represents less than 10% of the total inflow. The impact of sea ice and winds on the volume and freshwater transports into and through this region is also investigated. At Nares Strait and West Lancaster Sound, the transport is overestimated due to too‐mobile sea ice but different physical processes related to surface stress. The ice is driving larger ocean flow in the first case, while causing less flow reduction in the second case. While the transport through the Queen Elizabeth Islands responds to the changes in surface stress over the Beaufort Gyre and northern Baffin Bay, local surface stress opposed to the mean flow over the straits tends to reduce the throughflow transport. In Parry Channel and the southern CAA, the surface stress tends to enhance the transport and have a greater impact locally. Finally, the surface stress related to sea ice motion can significantly change the transport in the CAA during the winter months.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".