Research projects

Project SnowCover: Modeling the spatiotemporal evolution of snow cover

Project leader

Schaumberger Andreas, Dr.

Mag. MSc. Andreas Schaumberger

Head of Institute for Plant Production and Cultural Landscape Research

The modeling of meteorological phenomena is a balancing act between complexity and accuracy. Snow cover is no exception; on the contrary, it depends on numerous influencing factors. A complete representation of the physical relationships between snow accumulation and melting is not possible, especially in spatially differentiated applications.

Implementing a scientifically based model for the entire area of ​​Austria (approx. 84,000 km²) is not only a subject-specific problem but also a challenge in terms of technical realization. In this work, snow cover was simulated throughout the winter using daily result grids at a resolution of 50 meters. For necessary simplifications, the water equivalent of the snow was investigated, meaning that exact snow depths cannot be determined due to the lack of snow density information. This application can determine the presence or absence of snow with an accuracy that accounts for the variability of topography in mountainous regions and is of interest to many disciplines as an alternative to remote sensing.

 

Schaumberger, A.; Formayer, H.; Tiefenbach, P.; Grillenberger, J. and Strobl, J. (2008): Modelling the spatiotemporal course of snow cover. Mitteilungen der Österreichischen Geographischen Gesellschaft 150 (2008), 163-182.

 

 

 

 

Project SnowCover: Modeling the spatiotemporal evolution of snow cover

Project SnowCover: Modeling the spatiotemporal evolution of snow cover

 HBLFA Raumberg-Gumpenstein

 

Modeling the spatiotemporal evolution of snow cover

Andreas Schaumberger (2007)
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