The temporal evolution of seasonal snow cover and its spatial variability in environments
such as mountains, prairies or polar regions is strongly influenced by the interactions …

This paper evaluates the use of field data on the spatial variability of snow water equivalent
(SWE) to guide the design of distributed snow models. An extensive reanalysis of results …

In mountain terrain, well-configured high-resolution atmospheric models are able to simulate
total annual rain and snowfall better than spatial estimates derived from in situ observational …

The past decade has seen significant progress in characterizing uncertainty in
environmental systems models, through statistical treatment of incomplete knowledge …

Physically based models provide insights into key hydrologic processes but are associated
with uncertainties due to deficiencies in forcing data, model parameters, and model …

The spatio-temporal variability of the mountain snow cover determines the avalanche
danger, snow water storage, permafrost distribution and the local distribution of fauna and …

The seasonal evolution of snow cover has significant impacts on the hydrological cycle and
microclimate in mountainous regions. However, snow processes also play a crucial role in …

The interaction of mountain terrain with meteorological processes causes substantial
temporal and spatial variability in snow accumulation and ablation. Processes impacted by …

This study analyzes spatial variability of snow depth and density from measurements made
in February and April of 2010 and 2011 in three 1–2km2 areas within a valley of the central …

Wind-driven snow redistribution affects the glacier mass balance by eroding or depositing
mass from or to different parts of the glacier's surface. High-resolution observations are used …