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Initial steps in statistical downscaling involve being able to compareobserved data from regional climate models (RCMs). This prediction requires (1)regridding RCM output from their native grids and at differing spatialresolutions to a common grid in order to be comparable to observed data and (2)bias correcting RCM data, via quantile mapping, for example, for futuremodeling and analysis. The uncertainty associated with (1) is not alwaysconsidered for downstream operations in (2). This work examines thisuncertainty, which is not often made available to the user of a regridded dataproduct. This analysis is applied to RCM solar radiation data from theNA-CORDEX data archive and observed data from the National Solar RadiationDatabase housed at the National Renewable Energy Lab. A case study of thementioned methods over California is presented.

Regridding Uncertainty for Statistical Downscaling of Solar Radiation