Regional Climate Downscaling

Regional climate downscaling is a method used to improve climate predictions for specific areas. It takes broad, large-scale climate data from global models and refines it to provide more detailed and localized information, considering local factors like terrain and land use. This helps communities and planners better understand future climate conditions—such as temperature, rainfall, or drought risks—specific to their region. Essentially, downscaling bridges the gap between global climate projections and regional or local impacts, enabling more accurate planning and adaptation strategies.