Google says its AI weather model is getting better
Google's WeatherNext 3 reaches 5x sharper resolution — what it means for the AI model race beyond weather
Why it matters
A capability leap in a narrow domain (weather forecasting) signals how frontier labs are pushing model improvement through domain-specific training and real-time data integration. Practitioners building multimodal or real-time AI systems can learn from Google's approach; enthusiasts tracking the lab race see Google defending turf against specialized competitors.
The key facts
13 to knowWeatherNext 3 model released with 5x sharper resolution than previous version
Model produces global forecasts with 'unprecedented resolution'
Improved accuracy on rain and snowfall prediction specifically
Trained on real-time weather observations, beyond standard global AI training data
Research engineer Samier Merchant quoted on data leverage approach
Published September 3, 2026
WeatherNext 3 model released by Google Research
5x sharper resolution than previous Google weather model
Improved accuracy for rain and snowfall prediction
Produces global forecasts with 'unprecedented resolution'
Trained on real-time weather observations
Leverages data beyond standard global AI training sets
Research engineer Samier Merchant quoted on training approach
Go to the source
The Verge AItheverge.com
Publisher excerpt: Google is rolling out an updated AI weather model that's supposed to be more accurate, especially when it comes to predicting rain and snowfall. In the announcement today, the company says it's now able to make forecasts with "unprecedented resolution" using its new WeatherNext 3 AI model. It can…