Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning

Table 8

Estimated results from the final normal data using SVR.

Weather element	#data	Average	MLQC-HT			MLQC-NT
			Correlation coefficient	RMSE	Time (sec)	Correlation coefficient	RMSE	Time (sec)
Temperature	9346	8.5291 (5.9146)	1.0000	0.0516	1376	1.0000	0.0514	4111
Humidity	6229	77.0694 (21.1415)	0.9998	0.4256	1043	0.9998	0.4240	2522
UV-rays	5432	8.4278 (13.6254)	0.9909	2.0303	583	0.9910	2.0243	1337
PM2.5	9613	21.8624 (20.9066)	0.9877	3.0947	1366	0.9877	3.0933	2709
Solar radiation	9896	0.0064 (0.0114)	0.9176	0.0045	1244	0.9484	0.0036	1518
u	6844	−0.6097 (0.8803)	0.8066	0.3117	255	0.8101	0.3089	360
	6788	−0.2789 (1.1347)	0.8102	0.3751	308	0.8110	0.3746	493
Average	—	—	0.9304	0.8990	—	0.9354	0.8971	—

The numbers in parentheses are standard deviation.