Multiscale process modeling of spatial snow depth distributions

Spatial snow depth distributions are the product of complex process interactions on multiple scales. Previous work has shown fractal scaling behavior in spatial snow depth patterns as measured by airborne lidar surveys. Successful modeling of snow accumulation and ablation processes necessarily requires representation of these multiscale interactions. Snow distribution models should be capable of replicating fractal patterns, including the change in fractal scaling behavior (scale break) observed at the 10 50 m lag distance (site- dependent). Further, realistic multiscale process modeling allows investigation into the nature of the process interactions that produce the observed scaling patterns. The SnowModel snow accumulation, redistribution, and ablation suite models wind/terrain/vegetation interactions at several spatial scales, notably reproducing equilibrium snowdrift features over the 1 20 m length scale. We present the results of model investigations into spatial pattern representation, and an assessment of the process interactions that produce consistent fractal distributions of snow depth at the catchment scale in mountain study sites.