Mechanisms behind the Bifurcation of Irminger Water into Davis Strait and the Northern Labrador Sea
Bibliographic record
Abstract
Irminger Water (IW), originating in the Irminger Current, is an important water mass supplying heat and salinity to the western subpolar North Atlantic. As the warmest (4-6°C) and most saline (34.9 PSU) water mass entering the region at intermediate depths, it plays varied roles in stratification and sea ice and glacier melt. IW brings heat to the interior of the Labrador Sea and helps maintain its weak stratification, essential for deep convection. IW also reaches the marine-terminating glaciers at Greenland through fjords where heat from this water mass melts the glaciers at depth and destabilizes them. This study investigates the variability and mechanisms of the flow of IW in the western subpolar North Atlantic and specifically the bifurcation near Fylla Bank that allows this water mass to enter Baffin Bay or the northern/western parts of the Labrador Sea. We use a 1/60° horizontal resolution simulation (LAB60) run with the NEMO (Nucleus for European Modelling of the Ocean) model to conduct the study. The method of Lagrangian particle tracking is used to estimate the pathways of IW and to find the drivers of this flow. We find that significant differences exist in the dynamical control of the two split pathways of IW as indicated by their potential vorticity structures. A composite analysis of the variable northward transport leads us to conclude that anti-cyclonic winds and downwelling events over the water mass pathways are the main drivers of the northward pathway. The results from this study allow us to improve our understanding of ocean heat forcing to the subpolar gyre.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.002 | 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".