A weather model driven by artificial intelligence (AI) has stunned meteorologists by predicting Hurricane Milton’s landfall within just 13 miles—outperforming traditional models by over 100 miles.
Hurricane Milton’s trajectory was predicted with precision by AIFS, a new model developed by the European Centre for Medium-Range Weather Forecasts (ECMWF), which is significantly outperforming traditional weather models.
The AIFS model demonstrated remarkable accuracy by forecasting Hurricane Milton’s landfall location within 13 miles of the actual point, with an average error of about 7 miles. Other leading models had maximum errors exceeding 100 miles.
Five days before Milton made landfall near Siesta Key, Florida, AIFS accurately projected the storm’s trajectory, dismissing other potential landfall sites along the Florida coast.
Newsweek reached out to the ECMWF via email for comment.
Writing on X (formerly Twitter), Bryan Bennett, a meteorologist who closely monitored the storm, described the model’s “unbelievable accuracy”. He emphasized the model’s early and precise predictions, stating: “It predicted …