CONSIDERATIONS ON THE USE OF QUANTILE MAPPING BIAS CORRECTION FOR THE IMPACT ASSESSMENT OF CLIMATE CHANGE

Abstract

 Quantile mapping method is one of the popular methods to correct the bias of the output of climate models. It has been discussed that there are some issues in this method. One of the issues is related to the robustness of transfer function between climate models and observation. Another problem is about the setting of timeperiod for bias correction. This study assesses the impact of those issues using multiple CMIP5 climate models outputs. We demonstrate the two issues can result in considerable impacts, therefore, the uncertainty of this methods should be carefully considered for the impact assessment studies.