Sea Ice Dynamics in Hudson Strait and Its Impact on Winter Shipping Operations
Bibliographic record
Abstract
Abstract Hudson Strait is seasonally ice covered and is the only part of the Canadian Arctic where winter shipping takes place. Yet, very little is known about the thickness and dynamics of this ice pack. During winter operations, icebreakers often face besetting events, which can slow or immobilize vessels for up to a few days. Using in situ observations of ice draft and drift collected by moored sonars at two sites in Hudson Strait from 2005 to 2009, we provide the first detailed analysis of sea ice dynamics within Hudson Strait and provide insights into the processes that dictate ice thickness and internal pressure along this unique winter shipping corridor. Prevailing northwesterly winds drive south‐southeastward ice motion within the Strait, maintaining polynyas along Baffin Island on the north side of the Strait, and compressing the ice pack against Nunavik on the southern side. As a result, ice on the northern side remains young and thin throughout winter ( = 1.25 m), whereas ice on the southern side is older, heavily deformed and ∼60% thicker by March ( = 2.01 m). Intermittent reversals to southeasterly winds decompress the ice pack on the southern side, increasing the presence of leads and easing navigation through the ice pack to the port in Deception Bay. The spatial variability in sea ice thickness elucidated by the moorings is corroborated at the regional scale using satellite observations from ICESat‐2 during winter 2019, 2020, and 2021, and complimented by high‐resolution fields of sea ice motion during winter 2021.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".