Researchers from the University of Cambridge and partners have developed Aardvark Weather, an AI-based forecasting system that boasts accuracy improvements and reduced computational needs. This innovative system can provide forecasts significantly faster than traditional methods, by employing a comprehensive machine-learning model that analyzes data from various sources like satellites and weather stations. As a result, Aardvark Weather is expected to dramatically transform the meteorological landscape, offering precise global and local forecasts.
"Aardvark Weather is thousands of times faster than all previous methods of weather forecasting," Professor Richard Turner of Cambridge's Department of Engineering, who led the research, said in a statement.
The AI system achieved this by replacing the entire process of weather forecasting with a single machine-learning model; it can take in observations from satellites, weather stations and other sensors and then generate both global and local forecasts.
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