Open-ocean convection in the Labrardor and Greenland seas : plume scales and interannual variability
Bibliographic record
Abstract
Observations at moored stations from the Labrador and Greenland Seas are analyzed under two major aspects: the interannual variability of convection and its relation to variability of the hydrographic, meteorological, and ice conditions, and the spatial and velocity scales of individual convective plumes compared to existing scaling arguments derived from numerical and laboratory experiments. The observations were carried out in the Labrador Sea between 1994 and 1999 and in the Greenland Sea between 1988 and 1995. The convection activity observed showed considerable interannual variability throughout the observational period, but no seesaw behavior correlated with the North Atlantic Oscillation index. In the Labrador Sea, the maximum depth of convection decreased from about 1800~m in 1995 to only 600~m in 1999. The water mass properties of the winter mixed layer shifted towards warmer and less saline conditions. A general warming of the upper 2000~m was observed. Evidence for convection activity in the Labrador Sea boundary current region could not be found. The measurements were analyzed for individual events of convective plumes. During periods of intense convection activity in the Labrador Sea, it was possible to directly measure the vertical heat flux. The observed velocity scales were found to be a function of the surface buoyancy flux and the mixed layer depth and not controlled by the Earth's rotation.
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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) | 0.000 | 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".