Artificial intelligence is beginning to transform weather forecasting. New AI models are proving remarkably accurate at predicting hurricane tracks, in some cases matching or outperforming traditional forecasting models while delivering faster results. For energy markets, those gains could be significant. Earlier and more accurate forecasts give utilities, LNG exporters and offshore operators more time to prepare for approaching storms, improving resilience and reducing disruption. Yet AI is unlikely to replace traditional forecasting anytime soon, with meteorologists increasingly using it alongside conventional models to improve confidence in critical decisions. So how is AI changing the way we predict hurricanes, and what could that mean for energy markets as extreme weather becomes more common? On today’s show, Kamala Schelling is joined by Ryan Ward, an associate from BNEF’s weather team, to discuss his note “AI Models Show Edge in Tropical Cyclone Prediction.”

Complementary BNEF research on the trends driving the transition to a lower-carbon economy can be found at BNEF on the Bloomberg Terminal or on bnef.com

Links to research notes from this episode:

AI Models Show Edge in Tropical Cyclone Prediction - https://www.bnef.com/insights/39679

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