Steric Level Fluctuations and Deep Convection in the Labrador and Irminger Seas
Bibliographic record
Abstract
Abstract The paper considers steric level fluctuations in the northern Atlantic Ocean. We use a method that combines AVISO altimetry and GRACE gravity measurements to evaluate steric level fluctuations and obtain estimates of steric variations in the Labrador and Irminger seas for 2003–2015. The range of steric fluctuations in the Labrador Sea is from –11 to 10 cm, and in the Irminger Sea is from –11 to 12 cm. We estimate trends of steric fluctuations, which indicate a significant increase in the steric component of variability in the level of the North Atlantic. We propose a method for determining regions of deep convection in the Labrador and Irminger seas based on the minimum values of the steric level anomalies (the seasonal component has been excluded) from combined satellite measurement data. Possible spots of deep convection are determined in the Labrador and Irminger seas and shown on steric level fluctuation maps for different years. We demonstrate that deep convection was not manifested in the Labrador Sea in 2006, and there was a general weakening in deep convection processes in the North Atlantic after 2008.
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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".