A New Adaptive Local Linear Prediction Method and Its Application in Hydrological Time Series

Table 2

The prediction results for the daily discharge time series observed at Peschanaya and Tim by TLLP method.

Number of nearest neighbors	Peschanaya			Tim
	MAE (m^3/s)	RMSE (m^3/s)	CC	MAE (m^3/s)	RMSE (m^3/s)	CC
$m+1$	9.6882 × 10^2	2.1893 × 10^3	0.6966	1.6088 × 10^10	4.5795 × 10^10	0.2904
$m+2$	4.2862 × 10^5	1.4036 × 10^6	0.5548	47.9224	78.8664	0.0600
$m+3$	5.3151	6.2056	0.4293	8.1494 × 10^4	1.4928 × 10^5	0.5736
$m+4$	1.4779	1.8310	0.9503	8.4746 × 10^11	3.0884 × 10^12	0.3439
$m+5$	2.4415	4.2853	0.7696	2.0832 × 10^17	9.1309 × 10^17	0.2899
$m+6$	0.8428	1.1907	0.8307	2.1107 × 10^11	7.5627 × 10^11	0.3491
$m+7$	0.4781	0.6878	0.9092	22.4636	24.4395	$-$0.3345
$m+8$	0.5362	0.6917	0.8891	19.9365	20.9531	$-$0.5286
$m+9$	0.5599	0.7638	0.8127	19.1111	20.0202	$-$0.5056
$m+10$	0.4978	0.6815	0.9236	11.1223	14.2123	0.7822
$m+11$	0.7445	0.9671	0.8399	18.2638	24.1865	0.8162
$m+12$	2.6259	5.6787	$-0.6568$	13.6905	17.0975	0.8609
$m+13$	2.7742	6.0485	$-0.6574$	11.0150	13.6199	0.8799
$m+14$	1.9536	3.7148	$-0.6846$	11.7535	14.7329	0.8702
$m+15$	2.6877	5.8700	$-0.6505$	11.7260	14.4979	0.8819
$m+16$	1.8358	3.4853	$-0.6612$	7.6517	9.4725	0.9089
$m+17$	1.8763	3.3413	$-0.7216$	11.9486	14.7064	0.8939
$m+18$	2.5108	5.5012	$-0.6394$	13.2781	16.1363	0.8916
$m+19$	2.0266	4.0896	$-0.6516$	14.8208	17.9076	0.8850