Trending Now
We have updated our Privacy Policy and Terms of Use for Eurasia Group and its affiliates, including GZERO Media, to clarify the types of data we collect, how we collect it, how we use data and with whom we share data. By using our website you consent to our Terms and Conditions and Privacy Policy, including the transfer of your personal data to the United States from your country of residence, and our use of cookies described in our Cookie Policy.
{{ subpage.title }}
A hurricane
In the AI of the hurricane
Artificial intelligence models are getting better at predicting the paths of hurricanes.
Earlier this year, a model called GraphCast from Google’s DeepMind AI lab was able to accurately predict the path of Hurricane Beryl, forecasting that it’d take a turn away from Mexico and hit Texas. That prediction was correct — and came a week earlier than conventional meteorological models. Meanwhile, the European Centre for Medium-Range Weather Forecasts’ own AI model correctly predicted that Hurricane Francine would hit Louisiana before traditional models. These models can process large amounts of historical data to make their forecasts, while other models such as Nvidia’s FourCastNet work by modeling the entire Earth.
Still, while AI weather models appear good at tracking the direction of hurricanes, they struggle with determining other factors such as the intensity of the storms. So, at least in the near term, these models will work alongside human modelers rather than replace them.