ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China

Table 5

Performance statistics of the ANN model with three input variables (runoff, precipitation, and air temperature) during the training and testing periods for 1-, 6-, 12-, and 24-month-ahead runoff forecasting in the LARHR.

	Training periods				Structure	Testing periods
	R	RMSE	MAE	NS		R	RMSE	MAE	NS
1 month ahead	0.9258	155.20	89.26	0.8550	36-8-1	0.9294	139.77	88.29	0.8618
3 months ahead	0.8745	199.75	121.41	0.7599	36-22-1	0.8770	182.44	116.27	0.7651
6 months ahead	0.8660	204.15	127.06	0.7495	36-2-1	0.8918	171.69	107.40	0.7944
12 months ahead	0.8828	185.90	110.92	0.7792	36-7-1	0.9032	168.58	102.40	0.8058
24 months ahead	0.8393	212.27	134.84	0.7037	36-7-1	0.8946	168.76	106.36	0.8003