An Integrated Framework for Mapping Nationwide Daily Temperature in China

Table 2

Best models with T_a-mean regressed on different sets of covariates and their specifications for the selected four days.

Day	Model	R^2	S.E.	Intercept	Lat	Lon	Ele	ndvi	evi	y_d	y_n	o_d	o_n
VE	1	0.958	2.755	7.276							0.812
	2	0.967	2.449	4.009							0.699	0.201
	3	0.970	2.341	3.868							0.426	0.184	0.294
	4	0.971	2.304	2.878					6.614		0.402	0.186	0.275
	5	0.972	2.282	6.287		−0.030			7.124		0.408	0.170	0.281
SS	1	0.891	2.622	12.035							0.689
	2	0.904	2.468	10.964							0.438		0.288
	3	0.911	2.387	14.143			−0.001				0.370		0.223
	4	0.922	2.242	21.342	−0.134		−0.002				0.262		0.211
	5	0.935	2.060	21.386	−0.201		−0.002			0.149	0.214		0.131
	6	0.937	2.030	26.713	−0.195	−0.041	−0.002			0.124	0.218		0.126
AE	1	0.939	2.625	6.798									0.856
	2	0.946	2.460	7.338							0.364		0.491
	3	0.952	2.328	4.274						0.156	0.338		0.433
	4	0.956	2.227	2.131					6.808	0.197	0.316		0.380
	5	0.959	2.166	5.496	−0.089				5.919	0.216	0.286		0.363
	6	0.960	2.143	7.176	−0.119		−0.001		6.323	0.232	0.246		0.340
	7	0.960	2.132	10.446	−0.116	−0.027	−0.001		6.641	0.217	0.242		0.347
	8	0.961	2.125	10.223	−0.118	−0.027	−0.001		6.853	0.171	0.231	0.065	0.344
WS	1	0.958	2.972	4.400									0.891
	2	0.971	2.495	1.271								0.342	0.617
	3	0.973	2.390	1.702							0.338	0.342	0.287
	4	0.975	2.331	7.975	−0.184						0.308	0.263	0.274
	5	0.975	2.312	9.985	−0.248		0.000				0.287	0.283	0.228
	6	0.976	2.288	16.134	−0.294	−0.040	−0.001				0.266	0.270	0.224