Accurate forecasting of blizzard occurrence, intensity, and extent is key to improving response to anticipated blizzard conditions. This project aims to use new particle imagers and laser ceilometers to measure and detect various snow properties to aid in improving blizzard and winter precipitation forecasting, as well as contribute to model verification, to reduce adverse outcomes caused by these events.