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Open Geosciences

formerly Central European Journal of Geosciences

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Comparison of geostatistical approaches dealing with the distribution of snow

Marketa Prusova
  • Institute of Geoinformatics, VSB — Technical University of Ostrava, 17.listopadu 2172/15, Ostrava, 708 33, Czech Republic
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  • Other articles by this author:
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/ Lucie Orlikova
  • Institute of Geoinformatics, VSB — Technical University of Ostrava, 17.listopadu 2172/15, Ostrava, 708 33, Czech Republic
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  • Other articles by this author:
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/ Marketa Hanzlova
Published Online: 2012-12-08 | DOI: https://doi.org/10.2478/s13533-012-0103-1


This paper deals with a stochastic simulation. Snow cover, representing a regionalized variable, was studied and used as an input parameter for a stochastic simulation. The first step included basic statistical analysis of individual parameters of snow, e.g. snow height. In the next step, an analysis of relationships between the snow and the geomorphological parameters (altitude, slope and aspect) was conducted. The most current methods of spatial interpolation and multifactor evaluation are based on weighted regression relationships. Primarily, the use of conditional stochastic simulation was tested in a variety of software. The main aim of this investigation is to compare selected interpolation methods with stochastic simulation, based on the development of the values and on the evaluation of the incidence of extreme events. The study shall provide users with recommendations for selecting the optimal interpolation method and its application to real data.

Keywords: interpolation; stochastic simulation; snow cover

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About the article

Published Online: 2012-12-08

Published in Print: 2012-12-01

Citation Information: Open Geosciences, Volume 4, Issue 4, Pages 603–613, ISSN (Online) 2391-5447, DOI: https://doi.org/10.2478/s13533-012-0103-1.

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© 2012 Versita Warsaw. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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