Saturday, September 05, 2026

Google DeepMind's WeatherNext 3 Trains on Weather Station Observations to Deliver 5 km Global Forecasts, Refreshed Every Hour

Will finally weather forecasts become more accurate for next 24-48 hours with the help of AI?

"AI weather models have spent three years closing the gap with physics-based forecasting, but two problems stayed open:
resolution too coarse for local terrain, and
initialization tied to numerical weather prediction (NWP) analysis that arrives about six hours late.
WeatherNext 3, released by Google DeepMind and Google Research, attacks both. It takes a live global geostationary satellite mosaic as a direct model input, re-initializes every hour, and emits forecasts down to 0.05° (~5 km) while training against raw weather station measurements rather than reanalysis grids alone. According to Google AI, independent live evaluations from Brightband rank it as the most accurate global weather model to date. ..."

Google DeepMind's WeatherNext 3 Trains on Weather Station Observations to Deliver 5 km Global Forecasts, Refreshed Every Hour - MarkTechPost

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