Intro to Climate Science
Statistical downscaling is a method used to derive local- or regional-scale climate information from larger-scale climate model outputs, primarily focusing on understanding the potential impacts of climate change at a finer resolution. This technique uses statistical relationships between large-scale predictors, such as atmospheric variables, and local observations to generate projections that reflect the nuances of specific areas. By connecting global climate models with localized data, statistical downscaling allows for better decision-making in climate adaptation and mitigation strategies.
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