US National Hurricane Center built its Isaias forecast around Google DeepMind's SI model, which came closer to the real track
Prepared by Sintelligent with the help of SI. Published in SI: . Updated: .
An SI weather forecast has passed the test of a real hurricane, and meteorologists have started to rely on it.
According to Startup Fortune and Habr, the US National Hurricane Center relied on Google DeepMind's WeatherNext model when the system did not yet have a name: the physics-based models (European and GFS) disagreed on strength and track, while the SI model early on called a future Category 2 hurricane with an eastward track. Isaias made landfall on October 9 near Destin, Florida, with winds of about 169 km/h, closer to the SI forecast. Center director Michael Brennan said SI models showed greater consistency between runs, and the model was fine-tuned on the center's data, which improved storm intensity forecasts. Deputy director Jamie Rhome noted that traditional methods have not been replaced and forecasters combine several forecasts with their own judgment.
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