Mesoscale controls on the mountainside snow line
This study uses semi-idealized simulations with a mesoscale numerical atmospheric model (the Weather Research and Forecasting model) to diagnose the processes responsible for determining ZS on the mesoscale, quantify their relative importance, and investigate their sensitivities to atmospheric conditions and terrain geometry. The sensitivity of model results to choice of turbulence and microphysical parameterization is also characterized.
Results of 2D simulations reveal that all three of the above mechanisms play an important role in determining ZS. The strength of each mechanism varies with mountain shape and incoming airflow properties in ways that can be largely understood with simple theories, helping to explain some of the observed behavior of ZS. The simulated drop in Z0C and ZS is found to increase with temperature. This is of interest, since such a tendency, if present in nature, may act to buffer mountainous basins against the impacts of climate warming on snowpack accumulation and flooding. 3D simulations are also presented that reveal how ZS is affected by the blocking of low level winds that frequently occurs for sizable mountain ranges. Implications of these results for hydrological forecasting and regional climate modeling will be discussed.