Artificial Intelligence Revolutionizes Climate Phenomena

Researchers from the United States and the Netherlands have developed advanced technologies based on artificial intelligence, capable of delivering faster and more accurate predictions of extreme weather events such as hurricanes and storms.

In a recent study published in the prestigious journal Nature, Microsoft showcased the results of its new model, called Aurora, which demonstrated significant superiority over traditional systems in weather forecasting. This includes predictions related to air quality, ocean wave movements, and the paths of tropical cyclones, all with greater efficiency and lower computational costs.

According to Microsoft, Aurora was trained on more than one million hours of diverse geophysical data, enabling it to generate accurate climate forecasts covering a wide range of natural phenomena by using retrospective data analysis techniques.

In a related development, researchers from the U.S. National Oceanic and Atmospheric Administration (NOAA), in collaboration with the University of Oklahoma, unveiled another predictive model that uses GraphCast, a technology developed by DeepMind, a subsidiary of Google. The team highlighted that this model stands out for its remarkable speed, producing forecasts up to ten times faster than traditional models, thereby enhancing early response capabilities to severe weather conditions.