Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 239–258, 2021
https://doi.org/10.5194/gmd-14-239-2021
Geosci. Model Dev., 14, 239–258, 2021
https://doi.org/10.5194/gmd-14-239-2021

Methods for assessment of models 15 Jan 2021

Methods for assessment of models | 15 Jan 2021

Snow profile alignment and similarity assessment for aggregating, clustering, and evaluating snowpack model output for avalanche forecasting

Florian Herla et al.

Data sets

Snow profile alignment and similarity assessment - Data and Code Florian Herla, Simon Horton, Patrick Mair, and Pascal Haegeli https://doi.org/10.17605/OSF.IO/9V8AD

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Short summary
The adoption of snowpack models in support of avalanche forecasting has been limited. To promote their operational application, we present a numerical method for processing multivariate snow stratigraphy profiles of mixed data types. Our algorithm enables applications like dynamical grouping and summarizing of model simulations, model evaluation, and data assimilation. By emulating the human analysis process, our approach will allow forecasters to familiarly interact with snowpack simulations.