Influence of the Advection of Labrador Sea Water on the Decadal Variability of the Eastern Subpolar North Atlantic
Bibliographic record
Abstract
Abstract The upper ocean heat content of the eastern subpolar North Atlantic (ESPNA) displays large decadal variations, in particular, a warming starting in the mid‐1990s followed by a cooling trend from the mid‐2000s to the mid‐2010s. Using an eddy permitting ice‐ocean model, we find a relationship between the eastward propagation of dense water formed in the Labrador and Irminger Seas, the barotropic horizontal circulation and the advective heat convergence in the ESPNA. The time evolution of the 3‐year average anomalies of the barotropic streamfunction (BSF) shows a strong resemblance to that of the depth of the deep isopycnals. In particular, the propagation of dense water drives a response of the BSF in the intergyre gyre region. During the warming period, the advection of dense water is associated with a southeastward expansion of the subpolar gyre and a reduction of the supply of cold water from the western subpolar North Atlantic to the upper layers of the ESPNA. Sensitivity experiments suggest that atmospheric forcing can also enhance the trends in the heat content, but the latter cannot be related to trends of the local wind curl. However, circulation changes induced by the wind curl on some specific years can amplify the heat content changes.
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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".