Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3149-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-3149-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A data exploration tool for averaging and accessing large data sets of snow stratigraphy profiles useful for avalanche forecasting
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
Patrick Mair
Department of Psychology, Harvard University, Cambridge, MA, USA
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Short summary
We present an averaging algorithm for multidimensional snow stratigraphy profiles that elicits the predominant snow layering among large numbers of profiles and allows for compiling of informative summary statistics and distributions of snowpack layer properties. This creates new opportunities for presenting and analyzing operational snowpack simulations in support of avalanche forecasting and may inspire new ways of processing profiles and time series in other geophysical contexts.
We present an averaging algorithm for multidimensional snow stratigraphy profiles that elicits...