Summertime atmospheric circulation response to Arctic sea ice loss in uncoupled and coupled simulations
Bibliographic record
Abstract
In this work the summertime mid-latitude circulation response to the loss of Arctic sea ice is investigated as it has received relatively less attention than the wintertime response. Since summer has an inherently lower range of natural variability a signal of circulation change may possibly be seen in summertime first. This presentation will discuss the observed summertime circulation anomalies and present results from atmosphere only and fully coupled ice-ocean-atmosphere experiments that simulate the recent loss of Arctic sea ice in an idealised manner. The fully coupled experiments account for the thinning of the Arctic sea ice and allow for more complex interactions between the ice, ocean and atmosphere in contrast with atmosphere-only experiments in which the sea ice concentration and sea surface temperatures are prescribed. Results from both the uncoupled and coupled experiments suggest that there is a significant circulation response in the Northern Hemisphere mid-latitudes in summertime. Positive surface heat flux anomalies in the Labrador sea and Hudson Bay region result in positive tropospheric temperature anomalies which influences the strength of the jet stream over the North Atlantic. The physical mechanism which links the loss of Arctic sea ice to the summertime mid-latitude circulation, including the contribution of ice-ocean-atmosphere fluxes, will be discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".