Table 3

Overview of the BC methods

BC methodCorrecting variableDescription
Linear scaling LS Precipitation and temperature It applies monthly correction values to exactly match the monthly average of corrected RCM simulations (Lenderink et al. 2007).
LOCI Precipitation Using monthly correction, it corrects the mean, wet-day frequencies and wet-day intensities of precipitation (Schmidli et al. 2006).
MPT Precipitation A hybrid method combining both the LOCI and the power transformation (PT) method. It is a non-linear correction that adjusts both mean and variance of RCM simulation using an exponential form (Leander & Buishand 2007; Smitha et al. 2018).
VS Temperature It adjusts both the mean and variance of temperature similar to the method of power transformation (Chen et al. 2011).
DM Precipitation and temperature It corrects the mean, standard deviation and quantiles of raw RCM data by matching the distribution function with the data observed. Gamma distribution and normal distribution are best suited for precipitation and temperature, respectively (Teutschbein & Seibert 2012).
BC methodCorrecting variableDescription
Linear scaling LS Precipitation and temperature It applies monthly correction values to exactly match the monthly average of corrected RCM simulations (Lenderink et al. 2007).
LOCI Precipitation Using monthly correction, it corrects the mean, wet-day frequencies and wet-day intensities of precipitation (Schmidli et al. 2006).
MPT Precipitation A hybrid method combining both the LOCI and the power transformation (PT) method. It is a non-linear correction that adjusts both mean and variance of RCM simulation using an exponential form (Leander & Buishand 2007; Smitha et al. 2018).
VS Temperature It adjusts both the mean and variance of temperature similar to the method of power transformation (Chen et al. 2011).
DM Precipitation and temperature It corrects the mean, standard deviation and quantiles of raw RCM data by matching the distribution function with the data observed. Gamma distribution and normal distribution are best suited for precipitation and temperature, respectively (Teutschbein & Seibert 2012).
Close Modal