Deep variability in the Atlantic Western Boundary Current based on altimetric and expendable bathythermograph data
Bibliographic record
Abstract
The deep variability in two areas of the Atlantic Western Boundary is studied. One site is located at 38°N, inshore of the Gulf Stream. The other is at 8°S, off the Brazilian coast. Analyses are centered on current time series estimated by a method that uses expendable bathythermograph derived dynamic heights to remove the near‐surface signal from altimetric sea surface height. Both series are approximately 6 years long. Currents are compared to scatterometer derived alongshore wind stress and basin‐wide wind stress curl. In both areas, current variability is correlated to basin‐averaged wind stress curl and also to alongshore wind stress. The relationship between currents and wind curl is coherent with the western boundary currents response to interior Sverdrup flow. We propose that alongshore wind stress exerts control over the flow by divergence of the Ekman flow at the coast. In the north, the variability is dominated by interannual oscillations of the wind curl. The effects of the alongshore stress are secondary and have annual frequency. In the southern site, the alongshore effect appears to be the dominant forcing. The main observed results are confirmed by data from a numerical model with 1/6° horizontal resolution.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".