Google's WeatherNext 3 ditches physics simulations and learns weather directly from live satellite data

Google Research and DeepMind released WeatherNext 3, a weather model that learns directly from real-time satellite data instead of traditional physics simulations, producing hourly forecasts at up to five-kilometer resolution—five times more detailed than its predecessor. Google says regions in Africa, Latin America, and the Asia-Pacific that have lacked accurate forecasts should see the biggest gains.

Google's WeatherNext 3 ditches physics simulations and learns weather directly from live satellite data By Jonathan KemperSource: The Decoder https://the-decoder.com Google Research and DeepMind /glossary/deepmind are releasing WeatherNext 3, a weather model that skips traditional physics simulations and learns directly from real-time satellite data. It produces hourly forecasts at up to five-kilometer resolution, five times more detailed than its predecessor. Google says regions in Africa, Latin America, and the Asia-Pacific that have lacked accurate forecasts should see the biggest gains. The article Google's WeatherNext 3 ditches physics simulations and learns weather directly from live satellite data https://the-decoder.com/googles-weathernext-3-ditches-physics-simulations-and-learns-weather-directly-from-live-satellite-data/ appeared first on The Decoder https://the-decoder.com . Get AI news in your inbox Daily digest of what matters in AI.