Google says its AI weather model is getting better
Google has launched WeatherNext 3, an AI-driven weather model that utilizes real-time satellite data to provide higher resolution forecasts. This update aims to improve accuracy for rain and snow predictions, particularly in regions with limited ground-based weather infrastructure.
Why it matters
Advancements in AI weather modeling can significantly improve disaster preparedness and agricultural planning by providing faster, more granular data.
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 fresher and richer observational data sets.”
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