“Using a hybrid of machine learning and existing forecasting tools, a model led by Google called NeuralGCM successfully harnessed AI to conventional atmospheric physics models to track decades-long climate trends and extreme weather events such as cyclones, a team of scientists found…

The paper said NeuralGCM proved faster, more accurate and used less computing power in tests against a current forecasting model based on atmospheric physics tools called X-SHiELD, which is being developed by an arm of the US National Oceanic and Atmospheric Administration.

In one trial, NeuralGCM identified almost the same number of tropical cyclones as conventional extreme weather trackers did, and twice the number of X-SHiELD. In another test based on temperature and humidity levels during 2020, the error rate was between 15 and 50 per cent less.”

From Financial Times.