Recent Advances in Predictability and Prediction Using PDE-Based, AI-Powered, and Idealized Generalized Lorenz Models
Original article: https://encyclopedia.pub/entry/56862
Summary
This Encyclopedia entry reviews recent progress in prediction across three complementary approaches: physics-based numerical models, AI-powered systems, and idealized generalized Lorenz models. It discusses why the two-week predictability limit should be interpreted carefully, surveys AI forecast systems and downscaling directions, and connects these advances to the coexistence of chaotic and non-chaotic behavior in generalized Lorenz models. The entry highlights research opportunities in ensemble prediction, model resolution, AI downscaling, and diagnostics of sensitivity.
