2020 International Joint Conference on Neural Networks (IJCNN) @ World Congress on Computational Intelligence July 19-24 2020, Glasgow, UK ( https://wcci2020.org )Special Session on
In the next few years, due to global climate changes, extreme weather phenomena are expected to become increasingly frequent even in areas previously characterized by a mild climate as, but not limited to, the Mediterranean area. Extreme weather refers to phenomena potentially casting severe damage, serious social disruption, or loss of human life. These phenomena vary, depending on the latitude, altitude, topography, and atmospheric conditions. Recently, the Mediterranean area is subject to a range of destructive weather events, including middle-latitudes storms, Mediterranean sub-tropical hurricane-like storms ("medicanes"), and small-scale but violent local storms. Machine learning techniques and in particular Deep Learning, have been used to recognize, classify, and trace the trajectories of severe storms in atmospheric model data. Even though predicting large-scale atmosphere disturbances is a common activity in numerical weather prediction, the tasks of recognizing, identifying, and tracing trajectories of such extreme weather events within weather model outputs remains challenging.
The aim of the special session is to host the recent research advances in the fields of Severe Weather Events by using Machine Learning techniques.
Raffaele Montella, email@example.com