MétaCan
Menu
Back to cohort
Record W2188065862

Long period swells break up the Canadian Beaufort Sea pack ice in September 2009

2010· article· en· W2188065862 on OpenAlexaffabout
S.J. Prinsenberg, Ingrid Peterson, David G. Barber, M. G. Asplin

Bibliographic record

VenueThe Twentieth International Offshore and Polar Engineering Conference · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of ManitobaBedford Institute of OceanographyFisheries and Oceans Canada
Fundersnot available
KeywordsArctic ice packSea iceGeologyFast icePancake iceDrift iceArcticIce shelfAntarctic sea iceSea ice thicknessOceanographySwellIce divideClimatologyMeteorologyCryosphereGeography
DOInot available

Abstract

fetched live from OpenAlex

During the summer of 2009, ice observations were made using Electromagnetic, Video and Laser sensors mounted on an helicopter that was stationed on the CCGS Amundsen while she traversed the Canadian Beaufort Sea pack ice from August 28 to September 12. The Arctic pack ice encountered was made up of thin “rotten” first year ice, 50-75cm thick and thicker second year ice 2-3m thick containing melt ponds. The pack ice did not represent an obstacle to the icebreaker which moved at full speed to well above 75 o N latitude (Fig. 1). Upon arriving on September 6 at the “Multi-Year Ice” station within the thicker, consolidated pack ice, long period swells with a period of 13.5sec at the start and reducing in time appeared coming from the NW. They were present for 2 days and broke up the large 2-3km ice floes into smaller floes of less than 100m. The video camera and laser mounted on the helicopter documented the break-up of the floes. Data collected along long West-East flight paths showed that the long period swells, generated by a distant storm, penetrated 350km into the pack ice, breaking up and diverging the pack ice without any ridging. This process will enhance the thermodynamic and dynamic processes of pack ice decay (Toyota et al., 2006 and Squire et al., 2009) that should be included in ice-ocean climate models.

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 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 score0.389
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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

Citations2
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueThe Twentieth International Offshore and Polar Engineering ConferenceSame topicArctic and Antarctic ice dynamicsFrench-language works237,207