Google’s latest AI weather model gives you no excuse to forget your umbrella
Google has launched WeatherNext 3, an AI-driven weather forecasting model that utilizes deep learning to predict atmospheric conditions more efficiently than traditional supercomputer-based methods. The model will be integrated into Google Search, Maps, and Gemini to provide more accurate real-time weather data.
Why it matters
This represents a significant shift in meteorology, moving from expensive, slow physics-based simulations to faster, data-driven AI models that offer comparable or superior accuracy.
Scientists at Google Deepmind and Google Research released a new artificial intelligence model for weather forecasting today that sees our changing atmosphere more clearly and predicts its behavior more often.
WeatherNext 3 is the latest wave of a sea change in meteorology brought out by deep learning techniques, and Google says it will start feeding into weather information users see in search, Google Maps, and Gemini, as well as being available to users and researchers on Google’s cloud platforms.
“This is going to be the first time that some of the core variables feed and power a lot of the Google products,” Samier Merchant, a Google senior staff engineer, told TechCrunch.
The new model has already proven to be the most accurate among leading contenders tested on Operational WeatherBench , a utility for comparing AI forecasts built by the startup Brightband. It looks at metrics like temperature, windspeed, and humidity.
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