Statistical Downscaling of Temperature with the Random Forest Model

Table 2

Performance assessment for predictands in calibration and validation.

Models	Periods	Nash	RMSE	MAE		Bias
MLR-par	Calibration	0.92	1.76	1.35	0.96	0.00
	Validation	0.92	1.66	1.29	0.96	0.01
MLR-pca	Calibration	0.90	1.96	1.51	0.95	0.00
	Validation	0.88	2.00	1.55	0.94	0.31
ANN-par	Calibration	0.93	1.56	1.19	0.97	0.00
	Validation	0.93	1.52	1.17	0.97	0.07
ANN-pca	Calibration	0.92	1.68	1.28	0.96	0.00
	Validation	0.91	1.72	1.32	0.96	0.35
SVM-par	Calibration	0.92	1.76	1.34	0.96	−0.09
	Validation	0.92	1.66	1.28	0.96	−0.06
SVM-pca	Calibration	0.89	1.97	1.50	0.95	−0.10
	Validation	0.88	1.99	1.53	0.94	0.22
RF	Calibration	0.98	0.80	0.58	0.99	0.00
	Validation	0.94	1.46	1.12	0.97	0.21