The Seasonal Evolution of Sea Ice Cover off eastern Canada as Simulated by a Coupled Ice-Ocean Model for 1991/92 and expected 2xCO2 atmospheric conditions.
Bibliographic record
Abstract
A full three-dimensional ocean model coupled to an ice model using realistic geometry and atmospheric forcing is used to simulate seasonal evolution of the pack ice along the Canadian east coast for present atmospheric conditions and those expected under (2xCO2) global climate warming. The ice-ocean model consists of a ten-category ice model developed by Hibler coupled to the ocean general circulation model developed by Bryan and Cox. The coupled ice-ocean model was presented in detail by Ikeda et al. (1996) and modified by Q. Yao and Prinsenberg (1999) to investigate the variability of the seasonal evolution of the pack ice along the Canadian east coast. The model is initialized with the temperature and salinity fields compiled by Tang and Wang (1996) and forced by observed atmospheric data from the European Centre for Medium-range Weather Forecasting (ECMWF). Simulations are carried out for individual ice seasons; i.e., 1991/92winter simulations cover 6 months, December 1, 1991 to May 29, 1992. Using atmospheric conditions of the 1991/92 winter as a starting point, the model is then used to simulate the deviations from the 1991/92 pack ice conditions due to expected changes in winds and air
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".