Contribution of surface flux and ocean heat transport convergence to the interannual variability of the Labrador Sea
Bibliographic record
Abstract
The heat content and convergence of the heat flux transport (CHFT) in the ocean region 65ᴼW-40ᴼW, 45ᴼN-65ᴼN is studied based on in-situ observations of ocean temperature and the reanalaysis of surface flux for the period from 1993 to 2018. This region includes the Labrador Sea, the area of North Atlantic Current and Newfoundland Basin. The CHFT is computed from the equations of the tendency of heat contents for the surface (0-150 m depth), intermediate (150-2000 m depth), and deep (below 2000 m) layers and the whole ocean column. The highest interannual variability of CHFT is observed in the regions of the Newfoundland Basin and North Atlantic Current. The CHFT in the first region is influenced by the influx of sea-ice from the Northern Labrador Sea. The interannual variability of the CHFT in the second region represents the year-to-year change in the contribution of the ocean transport to the heat budget by the extension of Gulf Stream in the Subpolar North Atlantic. The CHFT in the central, eastern, northwestern, and northeastern sub-regions of the Labrador Sea were found to be highly correlated (r>0.7). There is a very weak correlation between the CHFT in these regions and the CHFT in the Newfoundland Basin and North Atlantic Current.
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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 | 0.001 | 0.001 |
| 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".