A new artificial intelligence weather forecasting model developed by researchers has demonstrated superior accuracy compared to conventional physics-based systems in global weather prediction. The AI model, trained on decades of historical weather data, can generate high-resolution forecasts for temperature, precipitation, wind, and atmospheric pressure up to 10 days in advance. Initial tests show it matches or exceeds the accuracy of leading numerical weather prediction models while requiring significantly less computational power. The system’s speed allows for rapid generation of multiple forecast scenarios, potentially improving early warnings for extreme weather events. Researchers emphasize the model is designed to complement, not replace, existing forecasting infrastructure by providing another data source for meteorologists. Read the full article at https://sciencedaily.com/releases/2024/05/240507123456.htm