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Record W2300359074

General Circulation and Transport in the Pan Arctic and North Atlantic Ocean

2001· article· en· W2300359074 on OpenAlexaboutno aff
Jia Wang, Meibing Jin, François J. Saucier, Moto Ikeda

Bibliographic record

VenueProceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsOcean gyreOceanographyArcticClimatologyArctic dipole anomalyNorth Atlantic Deep WaterGeologyThermohaline circulationOutflowAnticycloneNorth Atlantic oscillationStructural basinOcean currentArctic ice packSubtropicsAntarctic sea ice
DOInot available

Abstract

fetched live from OpenAlex

A coupled ice-ocean model was applied to compute the annual mean circulation of the pan Arctic and North Atlantic Ocean under daily wind and other atmospheric forcings of NCEP/NCAR data of 1990, restored to the surface monthly climatological temperature and salinity (NODC data). The simulated transport of Labrador Sea is about 53 Sv, consistent with historical estimates. The western North Atlantic is dominated by the cyclonic Labrador Current system, while the eastern North Atlantic by anticyclonic gyres. Greenland Basin has a cyclonic gyre of 30 Sv, while the Norweigian Basin has a cyclonic gyre of 24 Sv. In Fram Strait, the model simulated an outflow from the Greenland side (∼ 5.5 Sv) and inflow from the eastern side (∼ 4 Sv). The simulated temperature and salinity indicate the intrusion of the Atlantic Water and the outflow of the Arctic surface water. In the Arctic Basin, the simulated total transport is cyclonic in both the Eurasian Basin (∼ 20Sv) and the Canadian Basin (∼ 25Sv)

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.206
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Port and Ocean Engineering Under Arctic ConditionsSame topicArctic and Antarctic ice dynamicsFrench-language works237,207