A new artificial intelligence weather forecasting model developed by Google DeepMind, named GraphCast, has demonstrated superior performance compared to the world’s leading traditional system, the High Resolution Forecast (HRES) from the European Centre for Medium-Range Weather Forecasts (ECMWF). In a rigorous evaluation, GraphCast provided more accurate 10-day global weather predictions across 90% of over 1,300 atmospheric variables, including critical metrics like temperature, pressure, wind speed, and humidity. The AI model operates significantly faster, generating a 10-day forecast in under one minute on a single Google TPU, whereas conventional numerical weather prediction (NWP) methods can take hours on supercomputers. GraphCast was trained on nearly four decades of historical weather data from ECMWF, learning to model the complex physics of atmospheric evolution. While not intended to replace existing systems, it represents a powerful complementary tool that could enhance prediction speed and accuracy for severe weather events. Read the full article at: https://example.com/ai-weather-forecast