Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2727-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-2727-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A large-scale validation of snowpack simulations in support of avalanche forecasting focusing on critical layers
Florian Herla
CORRESPONDING AUTHOR
Department of Geography, School of Resource & Environmental Management, and Centre for Natural Hazards Research, Simon Fraser University, Burnaby, BC, Canada
Pascal Haegeli
Department of Geography, School of Resource & Environmental Management, and Centre for Natural Hazards Research, Simon Fraser University, Burnaby, BC, Canada
Simon Horton
Avalanche Canada, Revelstoke, BC, Canada
Patrick Mair
Department of Psychology, Harvard University, Cambridge, MA, USA
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To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
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Avalanche warning services publish condition reports to help backcountry recreationists make informed decisions about when and where to travel in avalanche terrain. We tested how different graphic representations of terrain information can affect users’ ability to interpret and apply the provided information. Our study shows that a combined presentation of aspect and elevation information is the most effective. These results can be used to improve avalanche risk communication products.
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Short summary
Snowpack simulations are increasingly employed by avalanche warning services to inform about critical avalanche layers buried in the snowpack. However, validity concerns limit their operational value. We present methods that enable meaningful comparisons between snowpack simulations and regional assessments of avalanche forecasters to quantify the performance of the Canadian weather and snowpack model chain to represent thin critical avalanche layers on a large scale and in real time.
Snowpack simulations are increasingly employed by avalanche warning services to inform about...
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