Cloudy with a Chance of Lifesaving and More Cost-Effective Weather Predictions

Paris Perdikaris of the University of Pennsylvania and his collaborators at Microsoft Research have developed a machine learning model capable of accurately forecasting a variety of Earth systems, including air quality, ocean waves, and tropical cyclone tracks. Their new model, Aurora, outperforms existing traditional systems at a fraction of the cost, and their findings could help emergency service providers better prepare for extreme weather events. Their findings are published in Nature.