Rapid changes in the Subpolar Gyre based on an Ocean General Circulation Model
Bibliographic record
Abstract
Data from the ocean component of the Norwegian Earth System Model has been analyzed for the period 1960-2008. Most attention is given to the Subpolar Gyre, which strength and spatial extensiveness is understood to have major consequences for the marine climate in the North Atlantic. Variations in the ocean temperature and salinity are mainly found in the upper few hundred meters, to a large degree dictated by the atmospheric forcing. The Labrador Sea is the region which shows largest response to the atmospheric forcing, and is a major source for variations in the Atlantic Meridional Ocean Circulation at 41\\(^{\\circ}\\)N. In the Labrador Sea, the convective mixing during strong cooling events reaches down to 2000-2500 m and increases the thickness of the isopycnic layer of potential density 1036.843 kg m\\)^{-3}\\) (relative to 2000 m depth) by approximately 500 m relative to the climatological mean value. This water mass more than double in volume between a minimum in 1970 and a maximum in 1995. Using an idealised model and Margules relation, we have shown that a 5 Sverdrup (1 Sv \\(= 10^6\\) m\\(^3\\) s\\(^{-1}\\)) intensification of the barotropic streamfunction for strong versus normal years expressed in terms of the North Atlantic Oscillation (NAO) index is consistent with roughly an increase in the geostrophic flow of 15\\%. Using composites from a NAO index derived from two-station and spatial pattern-based sea level pressure differences show negligible to large differences in the upper ocean response to the atmospheric forcing, depending on the actual analyzes examined.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".