New research demonstrates that artificial intelligence models are becoming increasingly capable of forecasting extreme weather events with accuracy rivaling traditional physics-based systems. A study published in Science Advances highlights how machine learning algorithms, trained on decades of historical weather data, can predict hurricanes, heatwaves, and atmospheric rivers days in advance. These AI systems process data much faster than conventional supercomputer models, potentially allowing for more timely warnings. However, scientists caution that the “black box” nature of some AI models makes it difficult to understand the precise reasoning behind their predictions, which is a key requirement for operational meteorology. The technology is seen as a complementary tool rather than a replacement for established methods. Read the full article at https://sciencedaily.com/releases/2024/05/240509124123.htm