New AI weather forecasting system called a huge step forward

Researchers at the University of Cambridge, together with the Alan Turing Institute, Microsoft Research, and the European Center for Medium Range Weather Forecasts, have developed a new AI-based weather forecasting system — Aardvark Weather — that could revolutionize the field of meteorology.

Aardvark Weather can apparently provide weather forecasts that are tens of times more accurate, while requiring dramatically less computing power than modern systems. “Aardvark 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.

In the past, a forecast required several different models, each of which relies on a supercomputer and a support team to run. With Aardvark Weather, the same work can be completed in just a few minutes and with a standard desktop computer.

The results were published in the journal Nature.