CSDownscale: an R package for statistical downscaling

Abstract

Downscaling is any procedure to infer highresolution information from low-resolution variables. Many of these techniques have been defined and applied to climate predictions, which suffer from important biases due to the coarse global grids in which they are delivered. To help solve this undesirable issue, the R package resulting from this work provides a set of statistical downscaling methods for climate predictions, ready to be applied to refine the output of climate predictions.