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

Table 6

Calculation results of the item const_B−𝑎₂×const_A in (8).

Daily maximum LST-LST						Daily minimum LST-LST
Sta_Pairs	constA (°C)*	𝑎2^∗	constA * 𝑎2	constB (°C)*	constB − constA * 𝑎2 (°C)	constA (°C)	𝑎2	constA * 𝑎2	constB (°C)	constB − constA * 𝑎2 (°C)
1-1N	−2.29	0.95	−2.17	−1.25	0.92	−2.39	1.00	−2.39	−1.45	0.94
2-2N	−3.18	0.90	−2.85	−3.37	−0.52	2.79	0.91	2.54	−0.51	−3.05
4-4N	−1.43	0.93	−1.33	−3.37	−2.04	−2.77	0.88	−2.43	−0.51	1.92
5-5N	−0.7	0.94	−0.66	−0.84	−0.18	−0.68	0.98	−0.67	−0.24	0.43
6-6N	−2.66	1.09	−2.89	−2.68	0.21	−0.12	0.97	−0.12	1.92	2.04
7-7N	−1.15	0.93	−1.07	2.39	3.46	−1.78	1.03	−1.83	−0.91	0.92
8-8N	−2	0.98	−1.96	−1.15	0.81	−1.63	1.08	−1.76	−1.78	−0.02
Average			−1.85	−1.47	0.38			−0.95	−0.50	0.45

∗Sta_Pairs is the name of station pair, const_A is the interception value of linear regression equation in 𝑇_𝑎-LST method for point A (Table 4), 𝑎₂ is the first order coefficient of linear regression equation of LST data linear regression results (Table 5), and const_B is the interception value of linear regression equation for 𝑇_𝑎-LST method in point B. (Because of the lack of 𝑇_𝑎-LST analysis result of station 3N, the station pair: 3-3N is excluded from the results.)