 The impact of climate change on water resources can be estimated more accurately by post-processing regional climate model, R.C.M., simulations. This process involves transforming the R.C.M. output to better match observed climatological data. Three types of transformation were identified, distribution derived, parametric and non-parametric. Non-parametric transformations were found to be most effective in reducing bias in R.C.M. precipitation. This article was authored by J. E. Haugen, T. Engenskogen, J. B. Brems, and others.