Heat Transport toward Sea Ice by Transient Processes and Coherent Mesoscale Eddies in an Idealized Southern Ocean
Bibliographic record
Abstract
Abstract The oceanic mesoscale variability contributes significantly to meridional heat transport (HT), especially in regions with high eddy kinetic energy such as the Southern Ocean (SO). However, there are gaps in our understanding of mesoscale contributions toward and within sea ice–covered regions due to the lack of observations and resolution in ocean and climate models. Using output from an idealized configuration of a coupled ocean–sea ice model simulating the SO at 10-km horizontal resolution, the contribution of the full spectrum of resolved transient mesoscale variability to the total meridional HT toward and under sea ice is investigated. The total HT is poleward, dominated by the transient HT which is primarily along isopycnals and closely follows the residual overturning circulation. The HT induced by coherent mesoscale eddies is extracted using an eddy detection and tracking algorithm. Coherent eddies contribute up to 20%–30% to the meridional transient HT, depending on latitude, with equal contributions from cyclones and anticyclones. The meridional HT by coherent eddies is predominantly accomplished by stirring with only 30% contributed by heat trapped inside these eddies. The majority of the transient HT across the ice edge occurs below the mixed layer, and this heat is then upwelled toward the surface with coherent eddies contributing between 20% and 30%. Within the mixed layer, 15%–25% of the upwelled heat is transferred to the pack ice. Albeit significant, coherent mesoscale eddies play a secondary role in the SO’s poleward HT that is primarily achieved by other transient mesoscale processes.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".