Comparative Analysis of Global Solar Radiation Models in Different Regions of China

Table 9

Statistics performances of the 12 models in estimating global solar radiation in Southwest China.

Stations	Evaluation index	AP	OG	Jin	BA	LO	GM	EM	AH	DL	HS	AN	BC
Chengdu
	RMSE	2.771	2.600	2.794	2.550	2.774	2.779	2.772	3.039	2.786	3.697	3.697	2.830
	RRMSE	27.7	26.0	28.0	25.5	27.8	27.8	27.8	30.4	27.9	37.0	37.0	28.3
	NS	0.818	0.840	0.815	0.846	0.818	0.817	0.818	0.782	0.816	0.677	0.677	0.811
	MAE	2.249	2.089	2.269	2.049	2.252	2.256	2.249	2.481	2.262	2.913	2.913	2.152
Kunming
	RMSE	2.087	2.120	2.090	2.074	2.085	2.088	2.084	2.260	2.083	4.015	4.015	3.312
	RRMSE	12.8	13.0	12.9	12.8	12.8	12.8	12.8	13.9	12.8	24.7	24.7	20.4
	NS	0.894	0.890	0.893	0.895	0.894	0.894	0.894	0.875	0.894	0.606	0.606	0.732
	MAE	1.555	1.598	1.558	1.535	1.553	1.556	1.552	1.757	1.551	3.264	3.264	2.432
Lasa
	RMSE	1.759	1.769	1.773	1.772	1.761	1.771	1.764	1.785	1.767	2.972	2.972	2.863
	RRMSE	8.7	8.8	8.8	8.8	8.7	8.8	8.8	8.9	8.8	14.8	14.8	14.2
	NS	0.882	0.880	0.880	0.880	0.881	0.880	0.881	0.878	0.881	0.662	0.662	0.687
	MAE	1.247	1.251	1.258	1.259	1.248	1.256	1.250	1.311	1.253	2.235	2.235	2.072
Average
	RMSE	2.206	2.163	2.219	2.132	2.207	2.212	2.206	2.361	2.212	3.561	3.561	3.002
	RRMSE	16.4	16.0	16.5	15.7	16.4	16.5	16.4	17.7	16.5	25.5	25.5	21.0
	NS	0.865	0.870	0.863	0.874	0.864	0.864	0.864	0.845	0.864	0.648	0.648	0.743
	MAE	1.684	1.646	1.695	1.614	1.684	1.689	1.684	1.850	1.689	2.804	2.804	2.218
	GPI	0.019	0.172	−0.019	0.290	0.016	0.000	0.017	−0.529	0.000	−4.710	−4.710	−2.662
	Rank	3	2	8	1	5	6	4	9	7	11	12	10