A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy compared to the world’s leading conventional systems. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and current atmospheric conditions to predict weather patterns up to 10 days in advance. In a head-to-head evaluation, GraphCast provided more accurate forecasts for over 90% of 1,380 test variables, including critical predictions for extreme weather events like tropical cyclones and atmospheric rivers. The AI system can generate a 10-day forecast in under one minute on a single machine, a task that takes traditional numerical weather prediction models hours on supercomputers. Researchers emphasize the model is designed to complement, not replace, existing systems, offering a new tool for meteorologists. The findings were published in the peer-reviewed journal Science. Read the full article at: https://sciencedaily.com/releases/2023/11/231114143522.htm