Landfast ice in the Kara Sea stabilizes the Arctic halocline and may slow down Atlantification of the Eurasian Basin
Bibliographic record
Abstract
Abstract Observations show an Atlantification of the Eurasian Basin of the Arctic Ocean, with deeper penetration, shoaling, and ventilation of Atlantic waters in the eastern Arctic and an associated weakening of the cold halocline layer. These processes have a profound impact on the sea ice cover above and potentially on the transition of the Arctic to a seasonal ice cover. Here we show, using a coupled ice-ocean model, that a proper simulation of the landfast ice cover in the relatively small but deeper peripheral Kara Sea has a disproportionately large influence on the halocline stability in the Eurasian Basin and beyond. Specifically, landfast ice in the Kara Sea reduces ice growth and therefore salt rejection into the surface ocean. This negative salinity anomaly is advected eastward with a coastal current along the continental shelf in the Makarov Basin and then out of the Arctic through Fram Strait by the Transpolar Drift Stream on timescales of less than ten years. Global Climate Models, however, do not yet include landfast ice parameterizations. Therefore, they are missing this key process affecting the halocline stability, Atlantification of the Makarov Basin, and potentially the timing of a seasonally ice-free Arctic.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".