Abstract
This paper verificated Degree-Day method, one of the temperature-based snowmelt methods, over Japan with AMeDAS data. Snowmelt rate factor, which is parameter of the Degree-Day method, is optimized comparing observed snowdepth at AMeDAS point with estimated snow depth with SWE model and snow density estimation model. As a result, the optimized Degree-Day factor is able to estimate snowdpth with high accuracy at more than around 86% AMeDAS points. But snowmodel estimates snowdepth with less than 80% correlation factor at less than 1m maximum snowdepth and high temperature point. Moreover, we confirmed that maximum snowdepth and temperature have effect on snowmelt rate factor. Sensibility of correlation factor against temperature and precipitation showed same results.
