A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy compared to the world’s leading conventional systems in global medium-range weather predictions. The model, named GraphCast, uses machine learning trained on decades of historical weather data to predict hundreds of weather variables, including temperature, wind, and precipitation, up to 10 days in advance. In head-to-head tests against the European Centre for Medium-Range Weather Forecasts’ high-resolution system (HRES), GraphCast provided more accurate forecasts for over 90% of the 1,380 test variables. The AI system can generate a 10-day forecast in under a minute on a single Google TPU v4 machine, a task that takes traditional numerical weather prediction models hours to compute on vast supercomputers. Researchers emphasize that AI models like GraphCast are not replacements but powerful complementary tools that could enhance the speed and accuracy of weather warnings. For the full details, read the complete article at https://technologyreview.com/2023/11/14/1083671/ai-weather-forecast-model-graphcast/.