Articles | Volume 15, issue 8
https://doi.org/10.5194/tc-15-3949-2021
© Author(s) 2021. 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-15-3949-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Aug 2021
Research article |
| 20 Aug 2021
| 20 Aug 2021
Evaluating a prediction system for snow management
Pirmin Philipp Ebner
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
Valentina Premier
Institute for Earth Observation, EURAC, Bolzano, Italy
Carlo Marin
Institute for Earth Observation, EURAC, Bolzano, Italy
Florian Hanzer
Department of Geography, University of Innsbruck, Austria
Wegener Center for Climate and Global Change, University of Graz, Austria
Carlo Maria Carmagnola
University of Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Etudes de la Neige, 38000 Grenoble, France
Dianeige, Meylan, France
Hugues François
LESSEM, Université Grenoble Alpes, Irstea, Grenoble, France
Daniel Günther
Department of Geography, University of Innsbruck, Austria
Fabiano Monti
ALPsolut S. r. l., Livigno, Italy
Olivier Hargoaa
SnowSat, Grenoble, France
Ulrich Strasser
Department of Geography, University of Innsbruck, Austria
Samuel Morin
University of Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Etudes de la Neige, 38000 Grenoble, France
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Data sets
Datasets for the publication "Evaluating a prediction system for snow management" P. P. Ebner, F. Koch, V. Premier, C. Marin, F. Hanzer, C. M. Carmagnola, H. François, D. Günther, F. Monti, O. Hargoaa, U. Strasser, S. Morin, and M. Lehning https://doi.org/10.5281/zenodo.4541353
Short summary
A service to enable real-time optimization of grooming and snow-making at ski resorts was developed and evaluated using both GNSS-measured snow depth and spaceborne snow maps derived from Copernicus Sentinel-2. The correlation to the ground observation data was high. Potential sources for the overestimation of the snow depth by the simulations are mainly the impact of snow redistribution by skiers, compensation of uneven terrain, or spontaneous local adaptions of the snow management.
A service to enable real-time optimization of grooming and snow-making at ski resorts was...
