Downscaling is a method used to refine coarse-resolution data or models to produce more detailed, localized information, often applied in climate science to provide regional climate projections from global climate models. It involves statistical or dynamical techniques to bridge the gap between large-scale trends and local variability, enhancing the relevance and accuracy of predictions for specific areas or sectors.