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

Table 7

Performance of the ANN model with two input variables (precipitation and air temperature) during the training and testing periods for 1-, 3-, 6-, 12-, and 24-month-ahead runoff forecasting in the YARHR.

	Training periods				Structure	Testing periods
	R	RMSE	MAE	NS		R	RMSE	MAE	NS
1 month ahead	0.9132	170.44	99.15	0.8322	24-5-1	0.9163	175.22	98.64	0.8306
3 months ahead	0.8696	207.50	121.73	0.7514	24-8-1	0.8625	215.22	119.73	0.7435
6 months ahead	0.8905	189.52	109.08	0.7925	24-2-1	0.8848	198.98	120.18	0.7814
12 months ahead	0.8616	209.13	111.00	0.7406	24-2-1	0.9107	179.52	100.22	0.8214
24 months ahead	0.8708	197.48	118.60	0.7573	24-9-1	0.8994	196.42	100.03	0.7941