The entropy technique is used to assign weights to the performance indicators, with various weights being assigned to different performance indicators rather than equal weights. This, in turn, aids in the GCMs ranking. Table 1 shows the weights assigned by the entropy technique to four performance metrics, which are evaluated by comparing simulated and observed monthly rainfall data. Amongst the four performance indicators, NSE is found to have the highest weightage (0.79), which showed a significant impact on the ranking of GCMs. The combined contribution is found to be less than 21% for ANMBD, CC, and NRMSD.