Every year, snow avalanches claim about 135 lives in North America and Europe. Most of these victims are private backcountry recreationists (e.g., skiers, snowmobilers, mountaineers) making their own decisions about when and where to expose themselves to avalanche terrain. But avalanches also threaten commercial backcountry operations, villages, utility lines, resource operations and cause traffic hazard and economic loss by blocking highways and railways.
Our research interests lie at the interface between the natural and social sciences, and our objective is to conduct interdisciplinary research and develop evidence-based tools that assist backcountry recreationists and avalanche professionals to make better informed decisions when preparing for and travelling in avalanche terrain.
This website provides you with an overview of our research at Simon Fraser University in Burnaby, British Columbia, Canada.
ISSW 2026
We are excited to present our research at the 2026 International Snow Science Workshop in Whistler, British Columbia. Click here to see the full list of our papers.
Selection of Current Research Projects
Avalanche Accidents Database Project and Insights
SFU is collaborating on an Avalanche Canada project to build a centralized, searchable online database of all recorded fatal avalanche accidents in Canada, designed to improve data accessibility, support research, and strengthen public safety and prevention efforts.
Communication of Uncertainty in Public Avalanche Forecasts
Uncertainty is a major factor in avalanche forecasting and decision-making, yet it has received remarkably little attention in research. The objective of this project is to increase awareness and comprehension of uncertainty’s role in public avalanche forecasts.
Developing Decision-Support Tools for Professional Ski Guides
This project aims to better understand the decision-making process of professional ski guides and develop tools to support that process. We worked closely with expert guides to conceptually map their decision-making process and build machine learning models based on real world data. The models are intended to capture the historic decision-making practices of guiding operations to support future decisions and provide a common understanding of risk management practices amongst the guiding team.
Interview with Pascal
In the spring of 2026, Alex Cooper from the CAA conducted an interview with Pascal prior to his departure to lead the SLF Snow Avalanches and Prevention research unit in Switzerland. You can read the interview “Pascal Haegeli Reflects on His Career in Canada” in the Avalanche Journal or listen to it on Spotify.
REM 427/627
If you are an SFU student and interested in avalanches, REM 427/627 is the course for you. Click here for more information about this exciting undergraduate or graduate course.
Research Tools
Click here to check out the standardized background questions we developed for avalanche safety surveys.
Links
Current conditions
Avalanche accidents
- Canada
- United States
- Europe
- Global Overview (compiled by SARP)
Development Collaborations
We are excited to be part of the following international avalanche forecasting development collaborations:
- AvaCollabra
A working group with the goal of fostering collaboration among researchers, software developers, and avalanche forecasters, to advance the development and application of snow cover models for operational avalanche forecasting. - AWSOME framework
An open source software distribution for snow cover modeling. Its goal is to provide a one-click solution to set up a whole range of fully automated snow stratigraphy and stability forecast model chains robust enough to run through the season unsupervised.
Recent Publications
Exploring motivations of winter backcountry recreationists in support of avalanche risk communication
Understanding exposure to avalanche terrain and avalanche information product use of snowshoers and winter hikers: Insights from Mount Seymour Provincial Park, British Columbia, Canada
Clustering simulated snow profiles to form avalanche forecast regions
A quantitative module of avalanche hazard—comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simulations