Experiments of simulation with different sea ice rheology
Bibliographic record
Abstract
Experiments of regional sea ice-ocean coupled simulation are designed to study effects of sea ice rheology by using of the numerical model MITgcm developed by the Massachusetts Institute of Technology. Basing on simulation results, comparative analyses of effects of two rheology schemes, one is viscous-plastic rheology and another is elastic-viscous-plastic rheology, are carried out. It’s shown that, the major distribution patterns of components of internal stress σ11 and σ22 are similar in results of both schemes. In winter, the major areas with comparatively large values emerge mostly in ocean near lands north of the Canadian Arctic Archipelago and Greenland and east of Greenland. In summer, the major areas with comparatively large values emerge mostly north of the Canadian Arctic Archipelago and Greenland. There are big differences inσ12, which giving contribution to apparent differences in the force of sea ice interaction. The difference vector in sea ice interaction force shows anti-clockwise and clockwise features in the Beaufort Sea and the inner part of the Arctic Ocean respectively, which leading to similar features in difference of sea ice currents in the two places.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".