What is it?
Downscaling is a way of turning large-scale information (like comes out of a global climate model) into local information with resolution of a few kilometers. Statistical downscaling involves using advanced mathematical tools to estimate local information from global information. Dynamical downscaling involves taking large-scale information and feeding it into a regional model to produce local information. Each has its advantages and disadvantages for particular situations.