Time Dependent Flow of Atlantic Water on the Continental Slope of the Beaufort Sea Based on Moorings
Bibliographic record
Abstract
Abstract The flow and transformation of warm, salty Atlantic‐origin water (AW) in the Arctic Ocean plays an important role in the global overturning circulation that helps regulate Earth's climate. The heat that it transports also impacts ice melt in different parts of the Arctic. This study uses data from a mooring array deployed across the shelf/slope of the Alaskan Beaufort Sea from 2002–2004 to investigate the flow of AW. A short‐lived “rebound jet” of AW on the upper continental slope regularly follows wind‐driven upwelling events. A total of 57 such events, lasting on average 3 days each, occurred over the 2 year period. As the easterly wind subsides, the rebound jet quickly spins up while the isopycnals continue to slump from their upwelled state. The strength of the jet is related to the cross‐slope isopycnal displacement, which in turn is dependent on the magnitude of the wind, in line with previous modeling. Seaward of the rebound jet, the offshore‐most mooring of the array measured the onshore branch of the AW boundary flowing eastward in the Canada Basin. However, the signature of the boundary current was only evident in the second year of the mooring timeseries. We suspect that this is due to the varying influence of the Beaufort Gyre in the two years, associated with a change in pattern of the wind stress curl that helps drive the gyre.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".