A new artificial intelligence weather forecasting model developed by Google DeepMind, called GraphCast, has demonstrated superior performance compared to the world’s leading traditional numerical weather prediction system. The AI model, described in a study published in Science, can generate accurate 10-day global weather forecasts in under one minute on a single Google TPU v4 cloud computer. GraphCast outperformed the European Centre for Medium-Range Weather Forecasts’ high-resolution forecast (HRES) system on more than 90% of 1,380 test variables, including temperature, pressure, wind speed, and humidity at multiple atmospheric levels. The AI system uses a graph neural network architecture that learns from decades of historical weather data, representing the Earth’s surface as over a million grid points and modeling atmospheric conditions through complex interconnections. While traditional systems rely on physics-based equations requiring supercomputers, GraphCast offers faster, more energy-efficient predictions that could complement existing infrastructure. Researchers emphasize the model is not intended to replace conventional methods but to provide a powerful new tool for meteorologists. Read the full article at: https://sciencedaily.com/releases/2023/11/231114143522.htm