Decadal variability of eddy temperature fluxes in the Labrador Sea
Bibliographic record
Abstract
Oceanic mesoscale eddies play an important role in preconditioning and restratifying the water column before and after mixing events, thereby affecting deep water formation variability. In the Labrador Sea, where deep convection occurs regularly, observations and models indicate a complex interplay of turbulence and associated tracer fluxes. Results from a realistic eddy-resolving (~5 km local horizontal resolution) ocean model in quasi-equilibrium (~300 years integration) suggest that small-scale temperature fluxes due to turbulent potential to kinetic energy conversion are the main driver of mixed layer restratification during deep convection triggered through atmospheric forcing. In addition to these baroclinic instabilities, buoyant water masses must be provided by the boundary current, where barotropic turbulence is equally important. Only acting together, the destabilizing forcing can be balanced. In a low-resolution control simulation (~20 km) the modeled turbulence is strongly reduced and the associated modeled and parameterized heat fluxes too weak to increase stratification.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".