Interannual variability in summer Beaufort Sea ice conditions: Relationship to winter and summer surface and atmospheric variability
Bibliographic record
Abstract
Interannual variations in the Beaufort Sea summer ice cover influence climatic, ecological, and socioeconomic conditions. Utilizing an ice severity index based on the distance from Point Barrow, Alaska, to the ice edge and characteristics of the shipping season, variations in summer ice conditions are examined from 1953 through 2000 with respect to variations in winter and summer surface and meteorological conditions. Although there is no significant trend in the ice severity index, ice conditions during the 1990s were less severe than in previous decades. Interannual variations in summer ice conditions are related to dynamical mechanisms in the preceding winter and dynamical and thermodynamical processes during summer. In winters preceding light ice summers, high pressure develops over Siberia, leading to increased ice transport across the Transpolar Drift Stream, while the Beaufort Gyre is diminished, resulting in decreased multiyear ice transport into the Beaufort Sea. Air temperatures are also elevated near the Alaskan North Slope, but there is little difference in winter air temperature over the Beaufort Sea. During light ice summers the Beaufort High is strongly defined over the Canadian Arctic Archipelago, enhancing easterly and northerly winds and advecting sea ice out of the Beaufort Sea. Above‐normal air temperatures also occur over much of the southern Beaufort Sea. Variations in sea level pressure and winds that result in light and heavy ice summers are closely linked to positive and negative winter Arctic Oscillation/North Atlantic Oscillation phases, as well as negative and positive summer Arctic Oscillation/North Atlantic Oscillation phases.
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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 | 0.001 |
| 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 | 0.001 | 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".