High elevation snowpack provides a vast majority of water for certain areas - for instance, 85% of the streamflow in the Colorado River comes from melt in alpine regions of the Rocky Mountains. Seasonal water resource preparations and planning studies rely on robust estimates of precipitation and snowfall in regions that are data-scarce. Historical estimation of snowpack relies on accurate estimates of rainfall in alpine regions; statistical estimation of such quantities is difficult, however, due to substantial variability in daily climatology and lack of availability of high quality historical data sources. We introduce a statistical approach to estimation of historical daily quantitative precipitation at arbitrary spatial locations. The method is validated throughout the continental United States, and can generate daily realizations of plausible historical precipitation scenarios over the past century. This is joint work with Gregory Benton.