AI could transform catastrophe modelling of secondary perils

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<namePart>Geer, Joshua </namePart>
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<abstract displayLabel="Summary">Artificial intelligence (AI) and machine learning (ML) are poised to significantly enhance catastrophe modelling for secondary perils, such as severe convective storms, derechos, tornadoes, and wildfires, by leveraging vast amounts of high-resolution atmospheric data. Karen Clark, founder of Karen Clark & Company, emphasized during the Rendez-Vous de Septembre in Monte Carlo that AI and ML can improve forecasting accuracy for events traditionally difficult to predict, like derechos and tornado touchdowns, and can also help model wildfire behavior by analyzing wind patterns that influence fire spread</abstract>
<note type="statement of responsibility">Joshua Geer</note>
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<topic>Catástrofes naturales</topic>
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<topic>Riesgos meteorológicos</topic>
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<topic>Incendios</topic>
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