Dynamical downscaling is a method used in climate science to obtain high-resolution climate information from larger-scale models. It involves using a regional climate model that takes the output from global climate models, like those from the Intergovernmental Panel on Climate Change (IPCC), and refines it to provide more detailed predictions for specific areas. This technique is particularly useful for understanding local climate impacts, such as changes in temperature and precipitation patterns. By focusing on smaller regions, dynamical downscaling helps researchers and policymakers make informed decisions regarding climate adaptation and mitigation strategies tailored to local conditions.