"Dynamical downscaling" is a method that uses detailed regional climate models to refine and correct data from larger global climate models. These regional models focus on smaller areas, providing more precise information about climate patterns. By comparing the physics used in these models to those in global models, researchers can better understand climate changes at a local level. Evaluating these regional models helps scientists assess the potential impacts of climate change on specific regions.