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WP8 • Severe convective hazards and cyclones

Lead: E. Coppola D. Faranda

WP8 is studying tropical cyclones and severe convective events by applying machine learning algorithms to detect, characterize and classify high impact storms for the present climate using remote sensing observations together with regional convection-permitting and global climate model simulations.


It will assess the possibility to extend these methods to detect past trends and quantify the future climate for severe convective events and cyclones. It will further assess their application to flood hazard detection as well as to evaluate their capacity to capture the nonlinear relation between heavy precipitation and floods.


This is illustrated through several case studies specific to fall and winter hazards, and by applying some of the techniques developed within the project; one case is a tropical cyclone in European overseas territory and one case is an extreme convective event in Europe.

WP2 Public Reports

D8.1 – List of high precipitation and floods events (PDF)


D8.2 – List of storm/cyclone events detected (PDF)