An Error Analysis Method for Snow Depth Inversion Using Snow Emission Model

摘要

The snow depth and the amount of regional snow playan important role in the climate change and also affect themanagement of water resources, and the estimate of the runoffand flood forecasting. At present, snow depth is generallythought to be linearly dependent on the difference of thebrightness temperature (i.e. NASA algorithm) in passivemicrowave remote sensing. But some authors argued accordingto results of snow emission model simulation that it is not simplylinear relationship between them due to the influence of manyfactors (snow grains radius, land use/cover type). If snow depth isretrieved using the linearly dependent relationship, the error willeasily come out. In this paper the graphical representation ofprobability error is constructed based on the simulated multi-solution curve by snow emission model, which revealsquantitatively and visually the snow depth inversion error due tomulti-solution inversion. It will make a significant contribution toreduce the influence of uncertainty and increase the accuracy ofsnow depth inversion.