Data-driven Discovery of Snow Cover Parameterization

All data were derived from High Mountain Asia UCLA Daily Snow Reanalysis, Version 1, and were preprocessed for training symbolic regression models in convenience. Train and test data are range from water years of 1999-2012, and of 2013-2016. All NaN value were removed from data and shape as [Sample, feat]. The name and unit of each feature were listed in sequence as follows:1. Snow depth [m]2. Snow water equivalent [m]3. Air temperature [K]4. Shortwave radiation [W/m^2]5. Longwave radiation [W/m^2]6. Air pressure [hPa]7. Precipitation [mm/day]8. Specific humidity [kg/kg]9. Standard deviation of sub-grid topography [m]10. Sine of topography slope [.]11. Cosine of topography aspect [.]The name and unit of target were listed as follows:1. Snow cover fraction [%]