Item: A probabilistic model to evaluate optimal density of snow stations
Title: A probabilistic model to evaluate optimal density of snow stations
Proceedings: 2002 International Snow Science Workshop, Penticton, British Columbia
Authors: Martin Latemser, Martin Schneebeli, Swiss Federal Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Abstract: Daily new snow measurements are important for avalanche forecasting and tourism. In Switzerland new snow is measured at many stations, which belong to different networks and are only partially coordinated. We developed a probabilistic model to evaluate the efficiency of different station layouts. The model takes into account the spatial structure of heavy snowfall events and the location of the stations together with their auto correlation. In order to capture at least 80% of the snowfalls, an ideal network requires a spacing of about 15 km. Spacings of 20 km result in only 50% capture probability, which means that at least half of all local snowfall peaks in these areas will be missed. The Swiss operational snow station network widely fulfills the optimal requirements, actually is in some places too dense while in other too sparse. The model was used to develop a new optimized station network.
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Keywords: snow station, snow climatology, optimal selection, snowfall intensity, spatial variability
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