A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior performance compared to traditional physics-based systems in global medium-range weather predictions. The GraphCast model, detailed in a study published in Science, uses machine learning to analyze decades of historical weather data and current atmospheric conditions to generate 10-day forecasts in under one minute. Researchers report that GraphCast outperformed the world’s leading numerical weather prediction system, the European Centre for Medium-Range Weather Forecasts’ system, in more than 90% of 1,380 test metrics. The AI model showed particular strength in predicting extreme weather events, including tropical cyclones and atmospheric rivers, while requiring significantly less computational power than conventional methods. The development represents a significant advancement in weather prediction technology, though experts note that AI models should complement rather than replace traditional systems due to their different strengths and limitations. For the full details, read the complete article at https://sciencedaily.com/releases/2023/11/231114143522.htm.