Statistical downscaling is a method used to derive local-scale climate information from larger-scale models or data by establishing statistical relationships between observed local climate variables and large-scale predictors. This approach is crucial for understanding regional climate impacts and for making informed decisions in climate-sensitive sectors such as agriculture, water management, and urban planning.