Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia

Table 1

Evaluation of NMME data before and after bias correction.

Evaluation		Model
		CanCM3	CanCM4	CCSM3	CCSM4	CM2p1
Before correction	RMSE	140.9	151.4	71.1	137.9	144.9
	MAE	104.1	107.6	122.4	101.2	103.9
	R^2	31.6	30.6	19.7	40.4	34.8
Average ratio	RMSE	140.8	146.1	159.9	136.3	143.3
	MAE	103.3	106.2	123.8	97.1	103.8
	R^2	38.4	33.7	20.6	42.3	36.2
Linear regression	RMSE	137.3	142.6	158.9	135.5	135.3
	MAE	97.0	96.7	117.7	101.1	90.7
	R^2	41.6	36.6	29.7	46.2	44.9
Gamma regression	RMSE	133.7	135.9	154.5	132.6	127.6
	MAE	89.8	89.8	85.6	57.6	72.1
	R^2	67.1	65.6	51.3	67.6	70.4