Understanding Severe Weather Events at Airport Spatial Scale

Severe weather events locally developing in a short time range are one of the major risks for aviation safety. Nowcasting and understanding the initiation of storm cells is still a challenging topic for meteorology and atmospheric physics. We combined the use of weather radar, weather stations and ground-based GNSS receivers to characterize the severe convection development at airport spatial scale over Milan. In this work, we show the analysis of a case study and a statistical analysis based on 40 randomly selected severe weather events. The results highlight a typical trend of the GNSS signal and low-level wind convergence, revealing the cell development. This is the starting point to develop a nowcasting algorithm based on neural network initialized with a dense network of GNSS receivers and lightning detectors that we are building in the area.