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Table 6

Best input variables selected by three models based on statistical measures

Model	Input variables	R²	RMSE	NSE
Model – forward	RH, Snow/P_Spring, P_Autumn	0.75	0.114	0.719
Model 1-1	P, T_mean, RH, FD, Snow/P_Spring, P_Autumn	0.78	0.117	0.781
Model 1-2	P, T_mean, RH, FD, Snow/P_Spring, P_Autumn	0.52	0.148	0.863

Model	Input variables	R²	RMSE	NSE
Model – forward	RH, Snow/P_Spring, P_Autumn	0.75	0.114	0.719
Model 1-1	P, T_mean, RH, FD, Snow/P_Spring, P_Autumn	0.78	0.117	0.781
Model 1-2	P, T_mean, RH, FD, Snow/P_Spring, P_Autumn	0.52	0.148	0.863

Note: Model 1-1 and Model 1-2 are derived from the ridge regression model for the first and second periods, respectively.