Editing Statistical Downscaling (section)

=== Regression and Weather Generators ===
* '''Multiple Linear and Non-Linear Regression:''' Statistical models (including Generalized Additive Models and Artificial Neural Networks) establish transfer functions linking large-scale free-atmosphere predictors to local surface observations. Predictors are chosen because GCMs simulate large-scale circulation features far more reliably than localized surface variables.
* '''Weather Typing and Stochastic Weather Generators:''' Days are classified into distinct synoptic atmospheric circulation regimes (e.g., specific barometric pressure patterns). Stochastic models then generate realistic daily local weather sequences conditioned on the frequency and persistence of those large-scale circulation types in the GCM run.