Forecasting Convective Storms Trajectory and Intensity by Neural Networks
Niccolò Borghi,
Giorgio Guariso,
Matteo Sangiorgio
Abstract:Convective storms represent a dangerous atmospheric phenomenon, particularly for the heavy and concentrated precipitation they can trigger. Given their high velocity and variability, their prediction is challenging, though it is crucial to issue reliable alarms. The paper presents a neural network approach to forecast the convective cell trajectory and intensity, using, as an example, a region in northern Italy that is frequently hit by convective storms in spring and summer. The predictor input is constituted… Show more
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