Google DeepMind releases WeatherNext 3, a global weather model with hourly satellite-based forecasts
AIGoogle DeepMind and Google Research introduced WeatherNext 3, which generates hourly global forecasts at up to 5-kilometer resolution using live geostationary satellite data. The company reports that precipitation forecasts improved by up to 60% against IMERG in medium-range evaluations, and that longer-range precipitation forecasts are up to 50% more accurate. The model is now available across Search, Gemini, Google Maps, Google Maps Platform Weather API, Google Earth Engine, BigQuery, and Google Cloud Storage.
Why it matters: The post explains how training on live satellite data and station observations changes resolution and update frequency, with precipitation accuracy gains reported against named baselines.