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Record W4387103330 · doi:10.3724/sp.j.1084.2011.00090

Experiments of simulation with different sea ice rheology

2011· article· en· W4387103330 on OpenAlexaboutno aff

Bibliographic record

VenueCHINESE JOURNAL OF POLAR RESEARCH · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyRheologySea iceClimatologyOceanographyMaterials science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.063
GPT teacher head0.334
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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