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Google's WeatherNext 3 model demonstrates a significant leap in AI-driven meteorology by integrating real-time satellite observations to achieve five times higher spatial resolution than previous iterations. This shift from physics-based simulation to pattern recognition on live data allows for hourly global forecasts, particularly improving accuracy for fast-moving precipitation systems and filling observational gaps in under-served regions.
Google says its AI weather model is getting better
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 produce a global picture that's five times sharper than Google's previous model by learning from real-time weather observations, according to the company. "One of the main developments is for [WeatherNext 3] to go beyond what data most global AI models train on," says Samier Merchant, a research engineer at Google Research. "We're able to leverage … Read the full story at The Verge.
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 produce a global picture…
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