Sea level variability across the Northwest Atlantic shelf
Bibliographic record
Abstract
Ocean dynamics plays a prominent role in the change of sea level variability on approach to the coast. While some studies have focused on decadal changes at tide gauges, a gap remains in understanding higher frequency variability, which provides a significant proportion of total variability in the coastal region. The Northwest Atlantic, an area including the U.S. East coast and Atlantic Canada, is a known hotspot of sea level rise and shows spatial differences in lower frequency variability along the shelf. However, the higher frequency variability is rarely explored, despite being at least partly captured by the observation systems.In this study, we evaluated the sea level variability across the sub-annual timescales on the shelf of the Northwest Atlantic and linked it to the local and far-field ocean dynamics. The drivers of sea level variability include both wind-driven and buoyancy-driven circulation. We used high-frequency tide gauge records, eddy-resolving high-resolution (1/12°) ocean reanalysis, and high-precision synthetic aperture radar (SAR) altimeter along-track data to obtain sea level anomalies for the analysis. We evaluated the coherence of sea level signal for all sources and with the drivers of ocean circulation.
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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 | 0.000 | 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".