"Dynamical downscaling" refers to a method used in climate research to provide more detailed and localized information about weather patterns. It involves taking global climate model data and using it to create more specific predictions for smaller regions or areas. This helps scientists better understand and analyze the impacts of climate change on a smaller scale.