Open geethar123 opened 4 years ago
Dear user, the best way to prove if the method is working properly is to evaluate the parameters adjusted by the method, not others in which the effect is not clear. For example, if you use the empirical quantile mapping you should obtain a time series with the same percentiles that the observations, at least if the calibration and test periods are the same. Here you have several examples: https://github.com/SantanderMetGroup/downscaleR/wiki/calibration-and-cross-validation Best regards, Sixto
Dear Climate4R Group, I am trying to do bias correction for daily precipitation data using biasCorrection(). But after bias correcting, I have analysed the annual trend of bias corrected results. But the results from the methods loci, ptr, eqm and scaling doesn't indicate much differences (as in attachment). I am not sure whether the results are correct or not.Kindly reply on this regard.