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Record W6891621132 · doi:10.4224/20178996

Thickness and material properties of multi-year ice sampled during the CAT study, August 2007

2008· report· en· W6891621132 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2008
Typereport
Languageen
Field
Topic
Canadian institutionsCanadian Wood CouncilNational Research Council Canada
Fundersnot available
KeywordsSea iceArctic ice packAntarctic sea iceBaySea ice thicknessDrift ice

Abstract

fetched live from OpenAlex

A field program was carried out to measure the properties of multi-year ice in the high Arctic. Thicknesses are reported for multi-year ice floes in Nares Strait (9 floes), Norwegian Bay (1 floe) and Lady Anne Strait (1 floe). The diameter of the 11 floes ranged from 175 m to 7.5 km. Multi-year ice in mainstream Nares Strait drifted south at 1.38 to 2.04 km/hr in a near-straight trajectory. The trajectories of two floes were mapped using satellite tracking beacons. Floe N06, which had an average thickness of more than 9.5 m but was only about 500 m in diameter, drifted south from Nares Strait until it disintegrated along the eastern coast of Baffin Island almost two months later. Floe N08 was a 2.8 km diameter floe that had an average thickness of more than 8.7 m. The beacon on Floe N08 continues to transmit at the time of writing this report, six months later, off the eastern coast of Baffin Island. More than 1500 m of ice was drilled during the program. Five of the floes had an average thickness of more than 7.7 m, whereas the average thickness of the other six floes ranged from 3.6 to 5.9 m. Standard deviations in thickness on the 11 floes ranged from 0.7 to 3.7 m. The temperature and salinity of the multi-year ice was measured on 4.80 to 5.50 m long cores. The top ice surface was the warmest (-0.9°C) and the interior of the ice was the coldest (-6.9°C). The average temperature of the ice cores ranged from -2.6°C to -4.7°C. Salinities in the uppermost 60 to 100 cm of ice were negligible (0 to 0.2 ‰) and increased to a maximum of 3.6 ‰ towards the interior of the ice. Most of the floes had an average salinity that was quite uniform (1.0 to 1.7 ‰). Borehole strengths were conducted on five floes. The strength was lowest in the uppermost 60 cm of ice (4.0 to 11.5 MPa) and generally increased with increasing depth to 21.5 to 30.6 MPa. The average borehole strength was remarkably consistent on four of the floes (15.9 to 17.5 MP). One floe had an average borehole strength of 23.1 MPa. Comparison of the strength and temperature profiles for the different floes illustrate the inverse relation between temperature and strength. ScanSAR and Standard imagery from RADARSAT-1 were examined to determine whether individual floes were recognizable. Standard imagery was preferred over ScanSAR imagery because of its higher resolution (25 m vs. 150 m). ScanSAR images adequately captured multiyear ice floes upwards of 4.0 km in diameter, but they were not useful for identifying floes less than several kilometers across. In comparison, floes from 400 to 500 m across were detectable in the Standard images, except for when they were masked by the high concentrations of pack ice.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.065
GPT teacher head0.286
Teacher spread0.222 · 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

Citations1
Published2008
Admission routes2
Has abstractyes

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