Presentation description

The capability of weather models to precisely predict wintertime precipitation is critical in the Rocky Mountains. A convolutional neural network trained on historical data seeks to predict orographic precipitation gradients to increase the resolution of precipitation forecasting over complex terrain. This research evaluated the network's prediction ability in the Northern Rockies through exploration of relationships between its output statistics & characteristics of facets, or mountain faces.