The Weather Program Office is working with the University of Utah to improve snowstorm prediction capabilities for forecasts 48 hours to 7 days in advance using techniques and advanced ensemble numerical modeling. Researchers are developing and testing new snow-to-liquid-ratio (SLR) algorithms to improve snowfall forecasts derived from numerical modeling systems, and evaluating and improving methods for representing physics uncertainty in high-resolution ensemble forecasts of winter storms using stochastic parameterizations.
PI Name & Contact: Jim Steenburgh (Jim.steenburgh@utah.edu); backup POC: Peter Veals (peter.veals@utah.edu)