Improving the Performance of Temperature Index Snowmelt Model of SWAT by Using MODIS Land Surface Temperature Data

Table 4

Results of daily maximum and minimum 𝑇_𝑎-LST linear regression analysis in each station pair.

Daily maximum 𝑇𝑎-LST							Daily minimum 𝑇𝑎-LST
ID	DataNum*	𝑎 *	𝑏 *	𝑅^2	MAE (°C)	RMSE (°C)	DataNum	𝑎	𝑏	𝑅^2	MAE (°C)	RMSE (°C)
312950	954	1.13	−1.25	0.95	3.15	4.07	1439	1.05	−1.45	0.97	2.15	2.83
313000	1194	1.08	−2.29	0.95	2.86	3.81	1567	1.05	−2.39	0.97	2.21	2.92
313480	804	0.94	−3.18	0.94	1.95	2.69	1439	0.98	2.79	0.97	2.02	2.92
313880	1034	1.02	−2.33	0.95	2.64	3.50	1598	1.00	0.54	0.98	1.83	2.48
314160	1212	1.08	−3.37	0.97	2.38	3.20	1436	1.05	−0.51	0.98	2.19	2.97
314180	876	0.99	−1.43	0.95	2.10	2.85	1436	1.10	−2.77	0.97	2.16	3.03
314420	1135	1.08	−0.70	0.95	2.85	3.71	1592	1.01	−0.68	0.97	2.27	3.05
314450	1188	1.09	−0.84	0.95	3.03	4.06	1570	1.01	−0.24	0.97	2.35	3.11
314740	813	0.98	−2.68	0.93	2.24	2.97	1435	1.01	1.92	0.98	1.84	2.54
314780	720	1.14	−2.66	0.94	2.74	3.68	1460	1.02	−0.12	0.97	2.35	3.27
318730	1333	1.07	−1.15	0.97	2.31	3.20	1462	1.09	−1.78	0.96	2.38	3.18
318780	1286	1.06	−2.00	0.95	2.77	3.72	1224	1.11	−1.63	0.97	2.33	3.26
509830	1162	1.11	2.39	0.93	3.11	3.99	1449	1.02	−0.91	0.97	1.95	2.66
Average		1.06		0.95	2.63	3.50		1.04		0.97	2.16	2.94

∗DataNum is the amount of data used for the regression analysis, “𝑎” is the first order coefficient of linear regression equation, and the “𝑏” is the interception of linear regression equation. (The 𝑇_𝑎 monitoring data of station 3N is till December 31, 1997, which cannot match the LST monitoring period; thus, there are no results for station 3N: 314590.)