A Model Study of the Relationship between Sea-Ice Variability and Surface and Intermediate Water Mass Properties in the Labrador Sea
Bibliographic record
Abstract
Sea ice plays an important role in the variability of the Labrador Sea especially in its most western part adjacent to an important region of deep convection.Winter-to-winter re-emergence and propagation of both sea-ice concentration (SIC) and sea surface temperature anomalies have been observed following years of high SIC in this region.They have potentially important links to water mass properties and freshwater and heat transports in the subpolar North Atlantic.This article builds on the results of two precursor papers and presents results from a coupled sea-ice-ocean model study of the interannual variability of sea ice in the Labrador Sea.The relationships between SIC and water column properties in the subpolar North Atlantic are assessed.Winters with high SIC and strong surface cooling are found to be conducive to intensified convection.Surface and mid-depth temperature and salinity anomalies are observed in the Labrador Sea and the northwestern North Atlantic during winters with anomalous Labrador Sea SIC.These anomalies are found to propagate along the major circulation patterns in the subpolar North Atlantic and to persist for up to three years.RSUM [Traduit par la rdaction] La glace de mer joue un rle important dans la variabilit de la mer du Labrador, surtout dans sa partie la plus l'ouest adjacente une grande rgion de convection profonde.On a observ que la rapparition et la propagation, d'un hiver l'autre, d'anomalies de concentration de glace de mer (CGM) et de temprature de la surface de la mer suivent des annes de forte CGM dans cette rgion.Ces anomalies pourraient tre troitement lies aux proprits des masses d'eau et au transport d'eau douce et de chaleur dans l'Atlantique Nord subpolaire.Cet article fait suite aux rsultats de deux articles prcdents et prsente les rsultats d'une tude de la variabilit interannuelle de la glace de mer dans la mer du Labrador faite l'aide d'un modle coupl glace de merocan.Nous examinons la relations entre la CGM et les proprits de la colonne d'eau dans l'Atlantique Nord subpolaire.Nous constatons que les hivers de CGM leve et de fort refroidissement en surface favorisent une convection intensifie.Nous observons des anomalies de temprature et de salinit la surface et mi-profondeur dans la mer du Labrador et dans le nord-ouest de l'Atlantique Nord durant les hivers o se produisent des anomalies de CGM dans la mer du Labrador.Nous trouvons que ces anomalies se propagent le long des principales configurations de circulation dans l'Atlantique Nord subpolaire et perdurent jusqu' trois ans.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 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 teacher head, 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".