Dominant patterns of atmospheric variability and \ntheir impact on sea ice concentration \nin the Labrador Sea
Bibliographic record
Abstract
The thesis presents results from an Empirical Orthogonal Functions (EOF) analysis \nof the dominant patterns of atmospheric circulation and their impact on the \nvariability of sea ice in the Labrador Sea. The study uses ERA5 reanalysis of sea \nlevel pressure and sea ice from the European Center for Medium-Range Weather \nForecasting (ECMWF). The analysis focuses on the relationship between the EOFS \nof sea ice concentration and three dominant patterns of the North Atlantic atmospheric \nvariability: the North Atlantic Oscillation (NAO), the Greenland Ridge (GR) \nand the Scandinavia–Greenland pattern (SG). The first EOF of the sea ice concentration \ndetermines the interannual variability of the offshore horizontal sea ice extension. \nThe second EOF is related to the variations in the magnitude of ice concentration in \nthe areas covered by ice every year. A significant correlation was found between the \nNAO and the first sea ice EOF pattern. In particular, the results suggest that the \nquasi-decadal transition in sea ice concentration observed in the mid-1990s was related \nto a quasi-decadal transition from a positive to a negative phase of NAO. The results \nprovide a reference for identifying the drivers of ocean variability in the Labrador Sea \nand their potential impact on the regional marine ecosystem and climate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 teacher head, 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".