Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 3783–3804, 2021
Hydrol. Earth Syst. Sci., 25, 3783–3804, 2021
Research article
02 Jul 2021
Research article | 02 Jul 2021

Decision tree-based detection of blowing snow events in the European Alps

Zhipeng Xie et al.

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Cited articles

Armstrong, R. L. and Brun, E.: Snow and climate: physical processes, surface energy exchange and modeling, Cambridge University Press, Cambridge, 2008. 
Baggaley, D. G. and Hanesiak, J. M.: An empirical blowing snow forecast technique for the Canadian arctic and the Prairie provinces, Weather Forecast., 20, 51–62,, 2005. 
Bromwich, D. H.: Snowfall in High Southern Latitudes, Rev. Geophys., 26, 149–168, 1988. 
Budd, W., Dingle, W., and Radok, U.: The Byrd snow drift project: outline and basic results, Stud. Antarct. Meteorol., 9, 71–134, 1966. 
Chritin, V., Bolognesi, R., and Gubler, H.: FlowCapt: a new acoustic sensor to measure snowdrift and wind velocity for avalanche forecasting, Cold Reg. Sci. Technol., 30, 125–133, 1999. 
Short summary
Ground information on the occurrence of blowing snow has been sorely lacking because direct observations of blowing snow are sparse in time and space. In this paper, we investigated the potential capability of the decision tree model to detect blowing snow events in the European Alps. Trained with routine meteorological observations, the decision tree model can be used as an efficient tool to detect blowing snow occurrences across different regions requiring limited meteorological variables.