Microsoft has created an artificial intelligence (AI) model that outperforms current forecasting methods in tracking air quality, weather patterns, and climate-affected tropical storms, according to studies published last week.
The new model, known as Aurora, provided 10-day weather forecasts and forecasted hurricane courses more precisely and quickly than traditional forecasting, and at a lower cost, according to researchers who published their findings in journal Nature.
“For the first time, an AI system can outperform all operational centers for hurricane forecasting,” noted senior author Paris Perdikaris, an associate professor of mechanical engineering at the University of Pennsylvania.
Aurora, trained just on historical data, was able to estimate all hurricanes in 2023 more precisely than operational forecasting centres such as the US National Hurricane Centre.
Traditional weather prediction models are based on fundamental physics principles such as mass, momentum, and energy conservation, and therefore demand significant computing power. The study found that Aurora’s computing expenses
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