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Table 3

Performance evaluation of models based on NSE and r²

S.No.	Model	NSE			r²
S.No.	Model	Annual	Seasonal	Non-seasonal	Annual	Seasonal	Non-seasonal
1	RCM-EC-EARTH	0.909	− 0.135	− 4.665	0.997	0.984	0.498
2	RCM-ACCESS1-0	0.884	− 0.495	− 300.873	0.997	0.981	0.396
3	RCM-CCSM4	0.869	− 3.859	− 382.758	0.995	0.984	0.445
4	RCM-GFDL-ESM-2M	0.975	− 3.814	− 855.396	0.996	0.880	0.489
5	RCM-MPI-ESM-MR	0.954	0.948	− 894.622	0.996	0.925	0.525
6	GCM-EC-EARTH	0.844	0.940	− 6.871	0.997	0.992	0.591
7	GCM-ACCESS1-0	0.987	0.854	− 26.293	0.996	0.988	0.545
8	GCM-CCSM4	0.916	0.528	− 149.375	0.998	0.990	0.340
9	GCM-GFDL-ESM-2M	0.981	0.969	− 12.956	0.998	0.994	0.468
10	GCM-MPI-ESM-MR	0.985	0.913	− 4.066	0.995	0.983	0.146

S.No.	Model	NSE			r²
S.No.	Model	Annual	Seasonal	Non-seasonal	Annual	Seasonal	Non-seasonal
1	RCM-EC-EARTH	0.909	− 0.135	− 4.665	0.997	0.984	0.498
2	RCM-ACCESS1-0	0.884	− 0.495	− 300.873	0.997	0.981	0.396
3	RCM-CCSM4	0.869	− 3.859	− 382.758	0.995	0.984	0.445
4	RCM-GFDL-ESM-2M	0.975	− 3.814	− 855.396	0.996	0.880	0.489
5	RCM-MPI-ESM-MR	0.954	0.948	− 894.622	0.996	0.925	0.525
6	GCM-EC-EARTH	0.844	0.940	− 6.871	0.997	0.992	0.591
7	GCM-ACCESS1-0	0.987	0.854	− 26.293	0.996	0.988	0.545
8	GCM-CCSM4	0.916	0.528	− 149.375	0.998	0.990	0.340
9	GCM-GFDL-ESM-2M	0.981	0.969	− 12.956	0.998	0.994	0.468
10	GCM-MPI-ESM-MR	0.985	0.913	− 4.066	0.995	0.983	0.146