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The proposed ANN models were evaluated using raw GCM and corrected GCM data under the RCP4.5 scenario during the base period (1971–2000). The model performance in terms of the statistical parameters (i.e., mean, SD, and RMSE) is given in Table 6. It is clear that the model's performance is better when the simulation incorporates observed variables than when it incorporates GCM data. The simulation of wet seasonal rainfall using MPI-ESM-MR inputs shows better performance than CSIRO Mk3.6 inputs. On the other hand, the simulation of dry season rainfall is more accurate when using CSIRO Mk3.6 inputs rather than MPI-ESM-MR data.

Table 6

ANN model's performance during the base period (1971–2000)

With observedWith raw GCM inputs
With bias corrected inputs
ParameterObservedinputsSim_ASim_BSim_ASim_B
FMA season 
 Mean (mm) 97 100 107 103 91 92 
 SD (mm) 41 43 66 51 36 44 
 RMSE (mm)  28 76 72 61 68 
MJJ season 
 Mean (mm) 415 395 310 241 339 384 
 SD (mm) 93 97 44 64 63 55 
 RMSE (mm)  77 142 210 122 101 
ASO season 
 Mean (mm) 495 502 817 687 499 499 
 SD (mm) 69 49 54 111 48 50 
 RMSE (mm)  54 335 246 71 105 
NDJ season 
 Mean (mm) 61 56 85 86 85 86 
 SD (mm) 44 29 34 42 34 42 
 RMSE (mm)  41 53 62 53 62 
With observedWith raw GCM inputs
With bias corrected inputs
ParameterObservedinputsSim_ASim_BSim_ASim_B
FMA season 
 Mean (mm) 97 100 107 103 91 92 
 SD (mm) 41 43 66 51 36 44 
 RMSE (mm)  28 76 72 61 68 
MJJ season 
 Mean (mm) 415 395 310 241 339 384 
 SD (mm) 93 97 44 64 63 55 
 RMSE (mm)  77 142 210 122 101 
ASO season 
 Mean (mm) 495 502 817 687 499 499 
 SD (mm) 69 49 54 111 48 50 
 RMSE (mm)  54 335 246 71 105 
NDJ season 
 Mean (mm) 61 56 85 86 85 86 
 SD (mm) 44 29 34 42 34 42 
 RMSE (mm)  41 53 62 53 62 

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