This is a simple snow model with BMI (Basic Model Interface of CSDMS) in Fortran cooperatively-developed by Kang Wang (University of Colorado Boulder), Ross Brown (Environment Canada), and Bruce Brasnett (Canadian Meteorological Centre). It's an empirical algorithm to melt snow according to the surface temperature and increase snow depth according to the precipitation that has fallen since the last analysis time.
This is a request for a Jupyter Notebook example of using ECSimpleSnow, similar to the excellent GIPL example Notebooks.