Statistical self-similarity of spatial variations of snow cover and its application for modelling snowmelt runoff generation in basins with a sparse snow measurement network

Abstract An analysis of snow cover measurement data in a number of physiographic regions and landscapes has shown that fields of snow cover characteristics exhibit statistical self-similarity property. This property is useful when, because of a sparse measurement network, the spatial variability of snow cover can be determined only for large enough basins… (More)