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Mesoscale simulations of winter orographic cloud structure and precipitation using the CSU Regional Atmospheric Modeling System (RAMS) have been performed to examine the local influence of orography and pollution on the snowpack of the Park Range of Colorado. An ensemble of RAMS simulations is run with maximum cloud condensation nuclei (CCN) concentrations varying from 100 2000 /cm3, so as to examine the impact of pollution on the riming process that contributes significantly to accumulated snowfall. RAMS is run at 750m grid spacing centered over Storm Peak Lab, and covers the Park Range in northwest Colorado.
These sensitivity studies demonstrate the impact of aerosol concentrations for different airmass characteristics, and the interplay between updraft dynamics, supersaturation, temperature structure across the mountain barrier, and the relative concentrations of cloud droplets and ice crystal types. Given a relatively moist environment, as the strength and depth of the orographic forcing increases so does the liquid water content and spatial extent of the supercooled orographic cloud. Furthermore, the greater the cloud water and cloud size, the greater the impact of pollution aerosols upon cloud droplet concentration, the riming process, and accumulated snow water equivalent. Case study analysis and verification is accomplished using in-cloud microphysical measurements and snowfall observations that were obtained during February 2005 at SPL and surrounding area of the Park Range. Furthermore, new cases are being examined following the Inhibition of Snowfall by Pollution Aerosols (ISPA-II) field project at SPL during January and February of 2007.