Synoptic environments and characteristics of cold air outbreaks in the Irminger Sea
Bibliographic record
Abstract
ABSTRACT Cold air outbreaks (CAOs) are the dominant cause of intense wintertime upward heat fluxes in the Irminger Sea. In this study, the climatological pathways of Irminger Sea CAO airmasses and the evolution of airmass properties, as well as the large‐scale synoptic environments leading to CAO formation are examined for winter. To that end, a comprehensive, multi‐decadal climatology of Irminger Sea CAO airmasses using kinematic trajectories is presented, complemented by a composite analysis of the large‐scale synoptic environment for intense CAO events. The following three synoptic environments conducive for CAO formation are identified: (1) The westerly environment is characterized by an upper‐level trough crossing Greenland and inducing strong westerly winds at crest level, accompanied by either cyclogenesis or the intensification of an existing cyclone in the lee of Greenland. The associated CAO airmasses originate in the Canadian Arctic, overflow southern Greenland, and descend into the Irminger Sea with an according imprint in their thermodynamic evolution. (2) In the easterly cyclonic environment, one or multiple cyclones in the Nordic Seas induce northerly winds along Greenland's eastern coast that transport Arctic airmasses from Fram Strait to Denmark Strait. (3) The easterly anti‐cyclonic environment, finally, is dominated by an anti‐cyclone over Greenland with similar airmass origins and pathways as in the easterly cyclonic environment. The two easterly environments represent the limiting cases of an intermediate spectrum, whereas in contrast the westerly environment is clearly distinct. Katabatic drainage from northern Greenland contributes to the CAO airmasses in both easterly environments, whereas in the easterly cyclonic environment also marine airmasses from the Nordic Seas are involved. An important conclusion of this study is that the amount of heat extracted from the ocean by a CAO airmass depends critically on its pathway, and thus on the synoptic environment.
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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".