DEVELOPMENT OF BIAS CORRECTION METHOD TO RUNOFF DATA

Abstract

 It is essential to predict river discharge under the climate change for adaptation to water related hazard and water resources. In this study, bias correction method to runoff data has been developed to estimate river discharge more accurately. Quantile-Quantile mapping method was applied to correct bias of runoff data from GCM output. Reference runoff data for bias correction was created by land surface model utilizing atmospheric reanalysis and observation data. Bias corrected runoff data was converted to river discharge by river routing model, then the accuracy of bias correction method was evaluated from the viewpoint of river discharge. Moreover, the bias correction function which was determined by certain GCM ensemble was applied to the other ensembles for evaluation of applicability of developed bias correction method.