A new artificial intelligence weather forecasting model developed by Google DeepMind, named GraphCast, has demonstrated superior accuracy and speed compared to the world’s leading conventional system. The model, described in a study published in Science, can generate a 10-day global weather forecast in under one minute on a single machine, a task that typically takes the European Centre for Medium-Range Weather Forecasts (ECMWF) system hours on a supercomputer. GraphCast outperformed the ECMWF’s high-resolution forecast (HRES) on over 90% of 1,380 test variables, including critical predictions for extreme weather events like tropical cyclones and atmospheric rivers. The AI system was trained on nearly four decades of historical weather data, learning to model the complex physics of atmospheric dynamics. While not intended to replace traditional methods, it represents a significant shift toward data-driven, machine-learning-based weather prediction, offering the potential for more timely and accurate warnings. Read the full article at: https://www.example-news-source.com/ai-weather-model-graphcast