Circulation and transformation of Atlantic and Arctic water masses in climate models
Bibliographic record
Abstract
Ocean heat transport and associated heat loss to the atmosphere contributes significantly to the anomalously mild climate of northwestern Europe and its variability. In this thesis, the circulation and transformation of water masses in the northern North Atlantic and the Nordic Seas have been assessed and explored in state-of-the-art climate models. A most important aspect of model evaluation is to identify the degree of realism in model climatology and variability, e.g., for model improvement or in order to assess the potential for decadal-scale climate prediction. A main approach for assessing simulated ocean circulations herein is water mass analysis as routinely applied in observational oceanography. Air-sea exchange and water mass transformation at northern high latitudes are accordingly related to the Atlantic Meridional Overturning Circulation (AMOC). The variable overturning of the Bergen Climate Model (BCM) – the core model system in this thesis – is found to reflect decadal variability in dense water formation in the Labrador Sea and in the oceanic heat transport into the Nordic Seas, the overall constraint on the northernmost water mass transformation. The simulated AMOC is strongly interconnected with the horizontal Subpolar Gyre circulation. Decadal variability of BCM’s Subpolar Gyre, as its AMOC, can partly be explained as a response to distinct patterns of atmospheric variability. The intercomparison of BCM with two other climate models finds the model pathways for the North Atlantic Current and the model sea-ice covers to differ substantially, and hence their oceanic poleward transport of heat, their air-sea exchange, and consequent northern water mass transformation to be very different.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".