Machine learning for cyclone tracks (Griffith Uni)

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Michael Moore (Griffith Uni) worked with Machine Learning in Python and the global best cyclone tracks database IBTrACS to establish a predictive model for estimating the ultimate extent of tropical cyclones, often referred to as the Radius to Outermost Closed Isobar (ROCI). This is an important parameter for increased accuracy in modelling inundation from cyclonic surge, wind, and waves. The information produced in this study will be critical for calibration of numerical models against historic cyclonic events, and for accurately simulating future synthetic cyclones.