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AI

Google DeepMind's WeatherNext 3 Sharpens AI Weather Forecasting

A new deep learning model from Google DeepMind and Google Research promises more frequent, more accurate atmospheric predictions.

Google DeepMind and Google Research have released WeatherNext 3, the newest version of their AI-driven weather forecasting system. The model reflects a broader shift in meteorology, where deep learning techniques are increasingly outperforming or complementing traditional physics-based simulation models run on supercomputers.

WeatherNext 3 reportedly improves both the resolution of its predictions and how often it can generate updated forecasts, meaning changing weather patterns can be tracked with less lag than before. Google says it plans to integrate the model's output into its own products, which likely includes surfaces like Google Search and Maps where weather info already appears.

This continues a trend of tech giants applying large-scale machine learning to scientific domains traditionally dominated by specialized simulation software.

Why it matters: AI weather models are cheaper to run than traditional numerical simulations and can update faster, which matters for short-notice events like flash floods or storms. If Google pushes WeatherNext 3 into consumer-facing products, it could quietly become one of the most-used AI models in the world, even though most people won't realize they're relying on machine learning rather than a traditional forecast.

Sources: TechCrunch