Preprints
https://doi.org/10.5194/tc-2021-56
https://doi.org/10.5194/tc-2021-56

  24 Feb 2021

24 Feb 2021

Review status: a revised version of this preprint was accepted for the journal TC and is expected to appear here in due course.

Evaluating a prediction system for snow management

Pirmin Philipp Ebner1, Franziska Koch2, Valentina Premier3, Carlo Marin3, Florian Hanzer4,5, Carlo Maria Carmagnola6,11, Hugues François7, Daniel Günther4, Fabiano Monti8, Olivier Hargoaa9, Ulrich Strasser4, Samuel Morin6, and Michael Lehning1,10 Pirmin Philipp Ebner et al.
  • 1WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
  • 2Institute of Hydrology and Water Management, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
  • 3Institute for Earth Observation, EURAC, Bolzano, Italy
  • 4Department of Geography, University of Innsbruck, Austria
  • 5Wegener Center for Climate and Global Change, University of Graz, Austria
  • 6University of Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d’Etudes de la Neige, 38000 Grenoble, France
  • 7University of Grenoble Alpes, Irstea, LESSEM, Grenoble, France
  • 8ALPsolut S. r. l., Livigno, Italy
  • 9SnowSat, Grenoble, France
  • 10School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
  • 11Dianeige, Meylan, France

Abstract. The evaluation of snowpack models capable of accounting for snow management in ski resorts is a major step towards acceptance of such models in supporting the daily decision-making process of snow production managers. In the frame of the EU H2020 project PROSNOW, a service to enable real-time optimisation of grooming and snow-making in ski resorts was developed. We applied snow management strategies integrated in the snowpack simulations of AMUNDSEN, Crocus and SNOWPACK/Alpine3D for nine PROSNOW ski resorts located in the European Alps. We assessed the performance of the snow simulations for five winter seasons (2015–2020) using both, ground-based data (GNSS measured snow depth) and space-borne snow maps derived from Copernicus Sentinel-2. Particular attention has been devoted to characterize the spatial performance of the simulated piste snow management at a resolution of 10 meters. The simulated results showed a high overall accuracy of more than 80 % compared to the Sentinel-2 data. Moreover, the correlation to the ground observation data was high. Potential sources for the overestimation of the snow depth by the simulations are mainly due to the impact of snow redistribution by skiers or spontaneous local adaptions of the snow management, which were not reflected in the simulations. Subdividing each individual ski resort in differently-sized ski resort reference units (SRU) based on topography showed a slight decrease in mean deviation. Although this work shows plausible and robust results on the ski-slope scale by all three snowpack models, the accuracy of the results is mainly dependent on the detailed representation of the real-world snow management practices in the models. This calls for an assessment of impacts from meteorological station measurements and their interpolations in the ski resorts as well as potential limitations in describing the snow cover, especially managed snow, by simulations.

Pirmin Philipp Ebner et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on tc-2021-56', Christoph Marty, 02 Mar 2021
    • AC1: 'Reply on CC1', Pirmin Philipp Ebner, 11 Mar 2021
  • RC1: 'Comment on tc-2021-56', Richard L.H. Essery, 19 Mar 2021
    • AC2: 'Reply on RC1', Pirmin Philipp Ebner, 10 May 2021
  • RC2: 'Comment on tc-2021-56', P.A.B. Bartlett, 22 Mar 2021
    • AC3: 'Reply on RC2', Pirmin Philipp Ebner, 10 May 2021
  • RC3: 'Comment on tc-2021-56', Anonymous Referee #3, 07 Apr 2021
    • AC4: 'Reply on RC3', Pirmin Philipp Ebner, 10 May 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on tc-2021-56', Christoph Marty, 02 Mar 2021
    • AC1: 'Reply on CC1', Pirmin Philipp Ebner, 11 Mar 2021
  • RC1: 'Comment on tc-2021-56', Richard L.H. Essery, 19 Mar 2021
    • AC2: 'Reply on RC1', Pirmin Philipp Ebner, 10 May 2021
  • RC2: 'Comment on tc-2021-56', P.A.B. Bartlett, 22 Mar 2021
    • AC3: 'Reply on RC2', Pirmin Philipp Ebner, 10 May 2021
  • RC3: 'Comment on tc-2021-56', Anonymous Referee #3, 07 Apr 2021
    • AC4: 'Reply on RC3', Pirmin Philipp Ebner, 10 May 2021

Pirmin Philipp Ebner et al.

Pirmin Philipp Ebner et al.

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Short summary
A service to enable real-time optimisation of grooming and snow-making in ski resorts was developed and evaluated using both, GNSS measured snow depth and space-borne 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 due to the impact of snow redistribution by skiers or spontaneous local adaptions of the snow management.