Made an estimated snowfall program in python yesterday. It takes in the ICON, GFS, EURO and CMC as inputs then weights each of them differently before factoring in how many days out the snowstorm is. For example a snowstorm that is 2 days out gets the mean of the models multiplied by .85. Thinking of adding in a likelihood percentage or something. Anyone have any ideas of what I could add?