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 (276K)
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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