Pangu-Weather: Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks

Explore a groundbreaking conference talk on Pangu-Weather, an AI-based method for accurate medium-range global weather forecasting. Delve into how 3D deep neural networks equipped with Earth-specific priors effectively handle complex weather patterns. Learn about the hierarchical temporal aggregation strategy that reduces accumulation errors in medium-range forecasting. Discover how this innovative approach, trained on 39 years of global data, outperforms the world's best numerical weather prediction system in deterministic forecast results on reanalysis data. Gain insights into its effectiveness in extreme weather forecasts, ensemble forecasts, and tropical cyclone tracking. Understand the potential of AI in revolutionizing weather forecasting, offering significant improvements in accuracy and computational efficiency compared to traditional methods.