A new study published in Nature demonstrates that artificial intelligence models can produce accurate medium-range weather forecasts faster and at lower computational cost than traditional physics-based systems. Researchers developed an AI model trained on decades of historical weather data that predicts key atmospheric variables up to ten days in advance. The system matches or exceeds the accuracy of established numerical weather prediction models for many metrics, while generating forecasts in minutes rather than hours. The approach represents a significant shift in forecasting methodology, though experts note it must still be integrated with and validated against conventional systems for operational use. Read the full article at https://sciencedaily.com/releases/2024/07/240711215443.htm.