STATISTICAL RELATIONSHIP BETWEEN THE NORTHERN HEMISPHERE SEA ICE AND ATMOSPHERIC CIRCULATION DURING WINTERTIME
Bibliographic record
Abstract
The wintertime relationship between the Northern Hemisphere sea-ice concentration, 500-hPa height, sea level pressure and 1000-500-hPa thickness is examined. The Northern Hemispheric sea ice extent exhibits a strong sensitivity to the climatic variation of atmospheric circulation anomalies. The sea-ice extent has reduced in the Barents Sea, Greenland Sea and Labrador Sea since 1990. Particularly, the reduction of sea ice extent in the Barents Sea and Greenland Sea became evident as early as 1968. The Northern Hemispheric sea ice extent also exhibits a strong signal of decadal variability except the Greenland Sea where the downward trend is more pronounced. The sea ice variability is characterized by a dipole pattern in both the Atlantic and Pacific sectors. Its temporal variability is strongly coupled to the North Atlantic Oscillation (North Pacific Oscillation) in the Atlantic (Pacific) sector. The relationship is strongest when the atmosphere leads the sea ice by 1-2 weeks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.004 | 0.001 |
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".