Investigating the exchange between Labrador Sea and Irminger Sea using hydrographic data
Bibliographic record
Abstract
The cyclonic spreading of surface waters in the subpolar North Atlantic coupled with strong air-sea heat fluxes create deep mixed layers which are the formation sites of Subpolar Mode Water (SPMW). The densest SPMW is found in the Labrador Sea, while other dense types also have been reported for the Irminger Sea. Circulation patterns suggest a pathway of SPMW from the Labrador Sea into the Irminger Sea that may help preconditioning dense water formation there. The Subpolar Mode Waters are subject to interannual and decadal variability. They vary due to mixing as well as due to variability in the formation. In this study the characteristics of SPMW in the western Subpolar North Atlantic are investigated from ship based hydrographic and oxygen data surveyed in late spring/summer between 2016 and 2022. SPMW is tracked via its low stratification along sections in the Labrador and Irminger Sea in the attempt to link the modes to the formation year as well as describing mixing processes involved to realize the evolution of the mode. It is found that the years following the strong convection event of winter 2014/2015 sustain generally strong wintertime convection. In 2016 deep convection is suspected to have taken place in the Irminger Sea and south of Cape Farewell. After 2018 the deep mixed layer formation lessens.
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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 | 0.001 | 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) | 0.001 | 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".