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Chris Stethem

Publications -  10
Citations -  444

Chris Stethem is an academic researcher. The author has contributed to research in topics: Snowpack & Poison control. The author has an hindex of 8, co-authored 10 publications receiving 368 citations.

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Snow Avalanche Hazard in Canada - a Review

TL;DR: Avalanche risk may be voluntary, for example skiing and snowmobiling, or involuntary, for instance public transportation corridors as discussed by the authors, and a worst-case avalanche scenario is most likely to occur in the Western Cordillera, resulting from a single large-scale weather pattern, where a cold period resulting in the development of a weak layer in the snowpack is followed by a series of major mid-winter storms.

A Conceptual Model of Avalanche Hazard

TL;DR: This work used judgmental decomposition to elicit the avalanche forecasting process from forecasters and then described it within a risk-based framework that is consistent with other natural hazards disciplines.
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A conceptual model of avalanche hazard

TL;DR: In this article, a conceptual model of avalanche hazard identifies the key components of avalanche hazards and structures them into a systematic, consistent workflow for hazard and risk assessments, which is applicable to all types of avalanche forecasting operations, and can be applied at any scale in space or time.
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Snow Avalanche Hazards and Management in Canada: Challenges and Progress

TL;DR: Avalanche impacts in Canada, including fatalities, are summarized for residential and public areas, as well as roads, ski areas, backcountry recreation, and resource industries Methods for managing avalanche hazard, which include defence structures, zoning, forecasting and explosive control, are outlined.
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Forecasting for deep slab avalanches

TL;DR: In this article, the authors considered the predictive merit of weather and snowpack data for avalanches that released throughout two winters on layers of faceted crystals in the Columbia Mountains of western Canada and found that the highest ranked predictors of natural avalanches include previous avalanche activity, accumulated snowfall over several days, changes in air temperature over 4-5 days, snowpack properties including a shear frame stability index, and the difference in hardness between the facet layer and the crust.