Dynamics of Bottom Boundary Layer Thickness in Monterey Bay Canyon
Bibliographic record
Abstract
Submarine canyons serve an important role as conduits for exchange, funneling sediment and nutrients between shallow shelf waters and the open ocean. The steep and sloping topography intensifies internal waves that dissipate energy directly by friction at the boundary and indirectly when they are reflected and break distant from the boundary. Although bottom boundary layers (BBL) on continental slopes and abyssal regions have been described, deep continental boundary layers are poorly understood. This study examined along-canyon variability in BBL thicknesses and whether BBL heights were related to previously identified regions of high energy dissipation. Temporal variations in BBL thickness were also studied to see if significant variability was associated with an internal tide phase. In August and September 2008, we collected profiles at multiple stations along the Monterey Bay Canyon axis. Measurements included conductivity, temperature and depth (CTD), expendable current profiler (XCP), lowered acoustic Doppler current profiler (LADCP), and vertical microstructure profiler (VMP) profiles of turbulent mixing. BBL heights varied spatially and temporally. BBLs were typically thicker in deeper waters near the Monterey Bend and the canyon mouth; however, heights were not closely in phase with the internal tide. Although turbulence extended 200-300 m above the seafloor, bottom mixed layers were thin or absent. This suggests that stratification and internal tidal oscillations limit the growth of BBLs in the canyon.
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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 | 0.000 | 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".