Arctic nearshore current dynamics and wave climate under declining sea ice conditions \nPotential impacts on sediment pathways \nA case study from Herschel Island – Qikiqtaruk, Yukon Coast, Canada
Bibliographic record
Abstract
The coast of the Western Canadian Arctic is facing rapid changes under ongoing Arctic warming. As coastal erosion rates are accelerating, detailed insights into the interplay of erosional forcing parameter like wind, waves, the influence of river discharge and currents are needed. The first ever measurements of currents in the nearshore zone of the Western Canadian Beaufort Sea, reveal a substantial effect on winds on the generation of currents. In coupling the data of two current measurements in the summer season, we found that time-lag and potential direction dependence complicate the response. Sea ice played a large role in the reduction of wave activity and largely supressed water movement in the surface layer. In general, a decreased in current speed from surface to bottom was visible at both mooring locations. While at the first location current geometries throughout the water column equal and are directed offshore, at the other site current direction were opposed. The recorded current speed at both sites agree with previous values in the Canadian Beaufort Sea. Yet, with ongoing changes in the environmental forcing of the Arctic Ocean the currents in the study area are likely to change as well. These new insights can help to comprehend the annual cycle of water movement, with insights for the transport of eroded sediment in summer, the redistribution of sediment in fall storms and the spread of Mackenzie plume water in the breakup season. This knowledge may help to improve the protection of threatened historic coastal settlements and understand the further shoreline change development along the Yukon Coast.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".