Researchers from the University of Chicago and ETH Zurich have created a global dataset of extreme weather events to support better storm detection and climate modeling. The dataset includes over 49,000 examples of events such as intense rain bands, powerful cyclones, and persistent atmospheric blocks that can trigger floods, heatwaves, and other hazards, drawn from climate data collected by the European Centre for Medium-Range Weather Forecasting from 1980 to 2022. Each event was annotated by scientists, making it the largest expert-labeled resource of its kind. The dataset offers a consistent, high-quality reference for tracking how major weather patterns form and move, helping researchers build more accurate tools to predict floods, heatwaves, and other climate-related risks.
Image Credits: Dominik Schroder
