Fig 1.
Locations of precipitation stations.
Fig 2.
Steps involved in the stationary and non-stationary downscaling approaches.
Fig 3.
Atmospheric domain for downscaling.
Table 1.
Three best potential predictors identified for each calendar month for each station.
Fig 4.
Time series of coefficients and constant in MLR based PPRs for Halls Gap for summer, autumn, winter and spring (Period 1 = 1950–69, Period 2 = 1951–70……Period 42 = 1991–2010).
Table 2.
Statistically significant linear trends in the coefficients and constants in the PPRs.
Table 3.
Most influential statistic of three best potential predictor on coefficients and constant in PPRs for observation station at Halls Gap.
Fig 5.
Scatter between coefficients/constant in PPRs and the most influential statistics of the three best potential predictors for January for Halls Gap station.
Table 4.
Attributes of Genetic Programming.
Table 5.
Performance comparison of SDM1 and SDM2 runs with NCEP/NCAR reanalysis outputs and 20C3M outputs of HadCM3 for Halls Gap station.
Table 6.
Performance comparison of SDM1 and SDM2 runs with NCEP/NCAR reanalysis outputs and 20C3M outputs of HadCM3 for Birchip station.
Table 7.
Performance comparison of SDM1 and SDM2 runs with NCEP/NCAR reanalysis outputs and 20C3M outputs of HadCM3 for Swan Hill station.