A New Extreme Weather Nowcasting Product Supporting Aviation Management at Local Scale by Sandy Chkeir, Aikaterini Anesiadou, Alejandro Cervantes, Alvaro Reviriego, Manuel Soler, Riccardo Biondi :: SSRN

Extreme weather is responsible for major delays of air traffic flow management. Due to the climate changes, the storms track and intensity will also change in Europe, increasing the horizontal flight inefficiency by about 4%. In this context, an accurate short-term forecasting of extreme weather at airport spatial scale will be very useful for the aviation mangers and controllers. This work is part of the H2020 SESAR ALARM project partially devoted to nowcast extreme weather events in the area of Milano Malpensa airport. We used ground-based weather sensors, Global Navigation Satellite System (GNSS) receivers, a C-band radar and lightning detectors distributed around Malpensa to develop a machine learning model able to nowcast the rain rate, the wind speed and the lightning occurrences.