Planning for climate change at the local level requires us to know how temperature and precipitation distributions will change in the future at the local scale.  We produce projections of future changes for a given emissions level by using emissions scenarios to develop climate model projections and then downscale the results to the local level through physically-realistic dynamical downscaling and statistical methods that use historical weather patterns. We produce a large number of projections at very high temporal and spatial resolution and build distributions of temperature and precipitation that facility managers, planners, and the scientific community can readily use.