Dynamic downscaling is a technique used in climate modeling to derive high-resolution climate data from coarser-resolution global climate models by embedding a regional climate model within the larger model. This approach allows for more detailed and region-specific climate projections, crucial for understanding local climate impacts and making informed decisions on climate adaptation and mitigation strategies.