The role of Irminger Rings for biogeochemical tracer advection in the Labrador Sea.
Bibliographic record
Abstract
The Labrador Sea is one of two major sites of the subpolar North Atlantic where deep convection occurs in wintertime as the ambient stratification is weakened through surface cooling and the water column homogenized to up to 2000 m depth. Deep convection has important biogeochemical implications, for example, the ventilation of the deep ocean through the formation of Labrador Sea Water, when convective mixing brings deep-water, undersaturated in oxygen, in contact with the atmosphere. Oceanic eddies in the Labrador Sea, in particular Irminger Rings, are known to transport heat and freshwater from the boundary current towards the central basin. This process regulates the strength of convection by influencing the preconditioning and restratification processes, hence modulating the production of Labrador Sea Water. However, the impact of these eddies on lateral biogeochemical fluxes between the coastal and open Labrador Sea, including the regions where deep convection is most pronounced, remains elusive. In this study, a high-resolution (1/12°) coupled biogeochemical-physical model of the northwest North Atlantic is employed to investigate the role of these eddies for lateral transport of biogeochemical constituents in the three distinct regions: eastern and western boundary and the central Labrador Sea. Oxygen, nutrient, and carbon budgets for these regions will be presented with an emphasis on horizontal and vertical transports, and mean and eddy-driven advection. The results of the biogeochemical budgets will be compared with those from the heat and freshwater budgets.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".