A new artificial intelligence model developed by researchers at the University of California, Irvine, demonstrates significant potential for improving the speed and accuracy of weather predictions. The system, named ClimAI, uses deep learning to analyze vast datasets of historical weather patterns and satellite imagery, generating forecasts in minutes rather than the hours required by traditional physics-based models. In initial trials, ClimAI matched or exceeded the accuracy of conventional systems for short-term predictions of up to three days, particularly in forecasting extreme weather events like atmospheric rivers. The researchers emphasize that the AI is intended to complement, not replace, existing methods, offering a rapid supplemental tool for meteorologists. Further testing and validation are required before operational deployment. Read the full article at: https://sciencedaily.com/releases/2024/10/240415120543.htm