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 10-day forecasts in minutes on standard computing hardware, a task that typically requires hours on supercomputers using traditional methods. Initial testing shows the system provides more accurate predictions for key atmospheric variables like temperature, pressure, and wind patterns across multiple global regions. While meteorologists note that AI models still face challenges with rare extreme weather events, the technology represents a significant advancement in forecasting speed and efficiency. The research team emphasizes that AI systems are designed to complement rather than replace existing forecasting infrastructure, potentially enabling more frequent updates and localized predictions. Read the full article at https://sciencedaily.com/releases/2024/05/240507150123.htm