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Record W99823522

Analysis of Weak Layer Avalanche Activity in the Columbia Mountains, British Columbia, Canada

2002· article· en· W99823522 on OpenAlexaffabout
Pascal Hägeli, D. M. McClung

Bibliographic record

Venue2002 International Snow Science Workshop, Penticton, British Columbia · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSnowClimatologyClimate changeSnow coverPhysical geographyGeologyRange (aeronautics)MeteorologyGeographyEngineering
DOInot available

Abstract

fetched live from OpenAlex

This study uses avalanche observations to characterize the spatial characteristics and temporal avalanche activity patterns on persistent weak layers. The study is situated in the Columbia Mountains in Western Canada, a mountain range with a transitional snow climate. The data was provided by Canadian Mountain Holidays, which operates 11 individual helicopter-skiing operations in this area, covering a total area of 20,000 km. The analysis shows that early season faceted snow layers and surface hoar weak layers are the main concern in this area. About 16% of the natural avalanche activity is on these persistent weak layers, and 28% when skier/helicopter triggered avalanches are included. It is shown that persistent weak layers with significant avalanche activity are generally widespread. While surface hoar layers seem to have fairly well defined avalanche cycles for about 2 to 3 weeks after their burial, faceted snow layers are active more sporadically throughout the entire season. The results of the analysis are promising for the development of a new statistical model for forecasting avalanche activity specifically on persistent weak layers. This has been a weak point of the currently used statistical models, which are mainly based on meteorological variables and, as a consequence, work best for new snow instabilities. An additional aspect of this work is that, for the first time, it allows the characterization of the avalanche climate of an area on the basis of actual avalanche observations. All previous studies have only used weather observations for their climate type definition.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient 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 score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0730.000

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 head0.211
Teacher spread0.203 · 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

Citations6
Published2002
Admission routes2
Has abstractyes

Explore more

Same venue2002 International Snow Science Workshop, Penticton, British ColumbiaSame topicLandslides and related hazardsFrench-language works237,207