Google DeepMind Releases WeatherNext 3 With Hourly 5km Global Forecasts

Google DeepMind has launched WeatherNext 3, its most advanced AI-driven weather forecasting model, capable of generating global weather predictions at a 5-kilometer spatial resolution updated every hour. The model is trained on real weather station observations in addition to traditional reanalysis data, which improves accuracy in data-sparse regions and reduces reliance on numerical weather prediction baselines. Compared to prior versions, WeatherNext 3 represents a significant jump in both temporal and spatial granularity, placing it ahead of most operational forecasting systems on standard benchmarks. For developers building climate, logistics, agriculture, or energy applications, this sets a new capability floor for AI-powered environmental data integration. The model's hourly refresh cadence makes it suitable for real-time decision systems that previously required expensive proprietary forecast feeds.