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.
Understanding Severe Weather Events at Airport Spatial Scale
Biondi R.
2020
Abstract
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.Pubblicazioni consigliate
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