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Record W2249278112

Nearshore Waves in the Southern Beaufort Sea during Severe Arctic Storms

2009· article· en· W2249278112 on OpenAlexaboutno aff
Azharul Hoque, S. Solomon, William Perrie

Bibliographic record

VenueProceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsBathymetryGeologyStormBeaufort scaleClimatologySea iceSignificant wave heightOceanographyArcticHindcastMeteorologyWind waveGeography
DOInot available

Abstract

fetched live from OpenAlex

Four major storms ( in 1985, 1993, 1999 and 2000) associated with significant coastal impacts and representing a range of ice conditions are simulated to study wave generation in the nearshore region around the Mackenzie Delta of the southern Beaufort Sea. Simulations are performed using SWAN40.51 under its non-stationary and two-dimensional mode of a fine resolution domain nested with a coarse resolution domain. Wind forcing in the form of a hourly hindcast over the southern Beaufort Sea is provided from the Meteorological Service of Canada Beaufort (MSCB) 21-year wind reanalysis. Bathymetry for the coarse domain is from ETOPO2. A fine resolution bathymetry for the nested domain was generated based primarily on data from Canada Hydrographic Service charts and NRCan field measurements. Moving boundaries of the ice edges are considered in the simulations. Wave attenuation along several transects are examined. Severe eaves are found to be predominantly from the northwest direction. Fully developed seas in the northwest quadrant of the nested region reached maximum wave heights of 4.5 m, 4.6 m and 5.9 m during the storm cases in 1985, 1993 and 1999 respectively. The fetch duirng the 2000 storm was limited by the existence of ice cover and the maximum wave height was 3.1 m.

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)0.000
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 score0.046
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.012
GPT teacher head0.206
Teacher spread0.195 · 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

Citations1
Published2009
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