Since technically winter starts tomorrow, I'm running through my fall training on a quiet day. We're actually getting better at providing shorter, hyper-focused training modules rather than the longer, more comprehensive ones of the past.
Some good NBM stuff in GYX's assigned training this year. It's a good reminder to myself that any deterministic NBM product is expert weighted (i.e. based on verification). Any probabilistic product is equally weighted, and therefore model biases can affect the forecast. For instance, Kuchera is one of the prominent snow ratios used (as much as 50% in some cases), usually in combination with Cobb and thickness. So certain events with a cold snow, the higher percentiles of the NBM may be biases high thanks to the incorporation of Kuchera ratios.