WeatherNext 3: More accurate, timely, and local weather forecasts

Google DeepMind
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Predicting the weather is one of the oldest, most complex challenges we face. Traditional numerical weather prediction models are powerful, but they can be slow to run and costly at a global scale. WeatherNext 3 takes a different approach. Built on a fundamentally different architecture, WeatherNext 3 learns directly from real-world observations, including live satellite feeds and ground-level weather station data. What makes WeatherNext 3 different? - Hourly refresh: While traditional models typically refresh every six hours, WN3 produces a fresh forecast every single hour. - Hyper-Local resolution: Native 5km resolution for temperature and humidity, enabling better detail for coastal regions, mountains, and urban areas. - Actionable data: Includes variables like 100m wind speeds for wind energy management and detailed cloud/radiation metrics for solar energy planning. - Global reach: Delivering high-resolution insights everywhere. You can now use WeatherNext 3 through Google Search, Gemini, Google Maps and more. Learn more: https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/ Read the full paper: https://storage.googleapis.com/deepmind-media/papers/weathernext_3.pdf Disclaimer: For official weather forecasts, severe weather warnings, and public safety advisories, please refer to your local meteorological agency or national weather service. ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/

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