18th Conference on Climate Variability and Change


An algorithm to derive snowfall from snow depth observations

Alexandre Fischer, EC, Toronto, ON, Canada; and Y. Durocher

Environment Canada is developing a multi-parameter algorithm to derive snowfall from snow on ground measurements. A field study conducted at Edmonton International Airport over the winter of 2004-05, produced data sets which included hourly/daily human weather observations. Readings from three Campbell Scientific Sonic Ranging Sensors (SR50), and a Geonor Total Precipitation Gauge, were filtered and combined to produce a "snowfall" statistic. An overview of the structure of the algorithm, its verification metrics, and case studies will be presented.

extended abstract  Extended Abstract (276K)

wrf recording  Recorded presentation

Session 4, Observed Climate Change in the Atmosphere and Oceans: Part 2
Tuesday, 31 January 2006, 1:45 PM-5:30 PM, A314

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