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Record W2085294174 · doi:10.1007/s11859-015-1062-4

Propagation characteristics of damped traveling wave in a one-dimensional marginal sea ice

2015· article· en· W2085294174 on OpenAlexaff
Tao Xie, He Fang, William Perrie, Yijun He

Bibliographic record

VenueWuhan University Journal of Natural Sciences · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsBedford Institute of Oceanography
Fundersnot available
KeywordsAttenuationSea iceSea ice growth processesAttenuation coefficientWavelengthGeologySalinityRange (aeronautics)MechanicsSea ice thicknessAtmospheric sciencesMaterials scienceArctic ice packClimatologyPhysicsOpticsOceanography

Abstract

fetched live from OpenAlex

Based on the wave velocity potential of sea water and marginal sea ice, a modified formula about damped traveling wave is proposed. From this formula, it is obvious that the propagation characteristics of ocean wave in marginal sea ice are affected by ice thickness, temperature, salinity and ice growth rate. Attenuation coefficient approaches a limit value of 0.99 when ice thickness increases in the range of 0.5–50 m. When ice temperature increases in the range from −18 °C to −3 °C, attenuation coefficient slowly decreases, while it rapidly decreases when ice temperatures is above a critical ice temperature of −3 °C. Both attenuation coefficient and wavelengths of damped traveling wave nearly increase linearly with the increase of ice salinity and ice growth rate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.218

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.206
Teacher spread0.177 · 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.

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
Published2015
Admission routes1
Has abstractyes

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