downscaleR

downscaleR, from the Santander Meteorology Group's climate4R framework, implements the established statistical downscaling toolbox: bias correction (quantile mapping variants), perfect-prognosis methods (analogs, regression, generalised linear models), and the validation machinery to prove your downscaled scenarios are fit for purpose. It contributed to the VALUE intercomparison that benchmarked these methods for Europe.

For engineers, this is the documented route from coarse GCM output to catchment-scale forcing you can defend in a design report — with companion packages (loadeR, visualizeR) handling data access and visualisation within the same framework.