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The ERA-Interim re-analysis (Dee et al. 2011) is used as the baseline data. To reduce differences between the re-analysis and the observed precipitation climatology, monthly precipitation means have been adjusted to the monthly means from the Global Precipitation Climatology Centre (GPCC) gridded data set (Schneider et al. 2011). These adjusted ERA-interim data (hereafter referred to as ERA-I-adj) are used as the reference data in the bias-correction. For future projections of climate, six GCM-RCMs (Table 1) were selected from the ENSEMBLES database (van der Linden & Mitchell 2009). To maximize independence between the GCM-RCM formulations, all the selected models have a different GCM and RCM component. The model simulations have been driven with SRES A1B emission scenario forcing and their spatial resolution is 0.25 ° (∼25 km) in both latitude and longitude. Both ERA-I-adj and the RCM simulations were interpolated to the corresponding sub-basins using the nearest-neighbor interpolation method. One should note that the selected GCM-RCMs might not be optimal in terms of their performance in the present-day climate, but act as a useful test for MOS method ability to adjust GCM-RCM biases.

Table 1

List of GCM-RCM combinations selected from the ENSEMBLES data set

InstitutionGCMRCMAbbreviation
CNRM ARPEGE ALADIN CNRM-RM5.1 
ETHZ HadCM-Q0 CLM ETHZ-CLM 
Met Office HadCM-Q3 HadRM-Q3 METO-HC-Q3 
Met Office HadCM-Q16 HadRM-Q16 METO-HC-Q16 
MPI ECHAM5 REMO MPI-M-REMO 
SMHI BCM RCA3 SMHIRCA-B 
InstitutionGCMRCMAbbreviation
CNRM ARPEGE ALADIN CNRM-RM5.1 
ETHZ HadCM-Q0 CLM ETHZ-CLM 
Met Office HadCM-Q3 HadRM-Q3 METO-HC-Q3 
Met Office HadCM-Q16 HadRM-Q16 METO-HC-Q16 
MPI ECHAM5 REMO MPI-M-REMO 
SMHI BCM RCA3 SMHIRCA-B 

The first column shows the institution, second column the GCM part and third the RCM part of each model simulation. The last column shows the abbreviation used for each GCM-RCM combination.

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