Examining the circulation on the Northwest Atlantic Shelf: along-shelf connectivity and hot spots of shelf-basin exchange
Bibliographic record
Abstract
In this project we are studying the connectivity of the circulation on the Northwest Atlantic shelf. The motivation for this project is two-fold: (1) to understand the fate of fresh water entering the shelf region from the Arctic and Greenland Ice Sheet through Davis Strait and its effect on the AMOC, and (2) to improve predictability of ocean properties in the Gulf of Maine/Mid-Atlantic Bight region that is home to one of the most productive ecosystems globally and has recently experienced dramatic swings in temperature and salinity. The project is divided into three work packages, and in this talk, we will present an update on the first work package focused on validation of the SWOT-derived surface geostrophic velocities. Comparisons between the SWOT velocities and two sets of moored data on the Newfoundland and Labrador Shelf, as well as moorings and a regular ship transect in the Mid-Atlantic Bight will be presented. Furthermore, we will present first results from comparisons of SWOT sea surface height data with data from Pressure Inverted Echo Sounders (PIES) deployed at the northern edge of the Gulf Stream for additional validation of SWOT in an eddy-rich region. For this analysis, we will also assess the impact of different spatial filters when deriving geostrophic velocities. In addition, the SWOT velocities and SSH fields are compared to high-resolution SST and chlorophyll products of the region. The goal of this validation work is to determine the processes resolved by SWOT, including the representation of narrow currents such as coastal currents and the shelf break jet, so that we can move forward in the project with confidence that the shelf-basin exchange is accurately resolved by the SWOT data. The goal of this project is to eventually build on these validation results to quantify the shelf-basin exchange along the Northwest Atlantic Shelf and test the hypothesis that this shelf basin exchange has been increasing through time.
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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 | 0.001 |
| Open science | 0.000 | 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".