The goal of this presentation will be to provide detailed insights of microphysical observations and their parameterization for numerical weather models. Meteorological observations related to ground-based/airborne in-situ instruments, remote sensing platforms such as lidar, radar, microwave radiometer, and satellite, and data from numerical models will be used to better understand fog, clouds, and precipitation processes. These will include low visibility, precipitation formation, and light snow physics. Observations from the meteorological supersites collected during Department Of Defense (DOD) Search And Rescue (SAR) and Environment and Climate Change Canada (EC3) projects will be summarized. Then, issues related to measurements of meteorological parameters and developing physical parameterizations for Numerical Forecast Models (NWPs) will be provided. Overall, the importance of meteorological processes for evaluating weather forecast, aviation operations, climate change, and the hydrological cycle will be emphasized and future challenges will be stated.
