Stochastic event set generation for tropical cyclone using machine‐learning approach guided by environmental data

Abstract

Tropical cyclone stochastic eventset is a critical component in any cyclone risk assessment model. In this study, a novel methodology is proposed for the development of basin wide tropical cyclone stochastic eventset. The proposed methodology utilizes the reanalysis data to represent the environmental conditions of cyclones, which in turn governs the cyclone behaviour and variability