Current snow models – including the most sophisticated ones, such as CROCUS and SNOWPACK – struggle to properly simulate Arctic snowpack characteristics such as density profiles. Indeed, those models have been developed and designed for Alpine …
This talk describes the preliminary work intended to serve as a basis for the development of a multilayer snow model adapted for the Arctic region in the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC). Ten sites – including …
One of the current limitations of the Canadian Land Surface Scheme including Biogeochemical Cycles (CLASSIC) is the use of a single-layer snow scheme, without an explicit parameterization for the snow cover fraction (SCF) and blowing snow sublimation …
This study investigates the impact of topography on snow cover parameterizations using models and observations. Parameterizations without topography-based considerations overestimate snow cover. Incorporating topography reduces snow overestimation by 5–10 % in mountains, in turn reducing cold biases. However, some biases remain, requiring further calibration and more data. Assessing snow cover parameterizations is challenging due to limited and uncertain data in mountainous regions.