A new artificial intelligence system called GraphCast has demonstrated superior accuracy in medium-range weather forecasting compared to the world’s leading traditional numerical weather prediction models. Developed by Google DeepMind, the AI model can generate a 10-day forecast in under a minute on a single machine, a process that typically takes hours on supercomputers using conventional physics-based methods. The system was trained on decades of historical weather data and uses a graph neural network to make predictions based on the current and previous atmospheric state. In a comprehensive evaluation, GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including critical measurements like tropical cyclone tracking and extreme temperature forecasts. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional systems, creating a new era of hybrid forecasting. The model’s code has been made publicly available to support further research in the meteorological community. Read the full article at: https://www.example.com/ai-weather-forecast-breakthrough