Research Article

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

Table 6

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

Stations Evaluation indexAPOGJinBALOGMEMAHDLHSANBC

Guangzhou
RMSE2.3022.2662.2982.2222.2352.2922.3002.4982.2994.4264.4263.546
RRMSE17.817.617.817.217.317.817.819.417.834.334.327.5
NS0.8680.8720.8680.8770.8750.8690.8680.8440.8680.5100.5100.686
MAE1.9261.9041.9221.8701.8571.9161.9242.0551.9233.7593.7592.775

Haikou
RMSE2.7252.6692.7292.5542.7272.7272.7212.9512.7245.1905.1904.753
RRMSE19.018.619.017.819.019.018.920.519.036.136.133.1
NS0.8770.8820.8770.8920.8770.8770.8770.8560.8770.5540.5540.626
MAE2.1732.1052.1752.0072.1752.1742.1702.3992.1724.2494.2493.764

Nanning
RMSE2.0681.9632.0681.8882.0682.0692.0692.3552.0674.1574.1573.513
RRMSE16.715.816.715.216.716.716.719.016.733.533.528.3
NS0.9110.9200.9110.9260.9110.9110.9110.8850.9110.6420.6420.744
MAE1.6241.5401.6231.4511.6241.6251.6251.9051.6233.4663.4662.654

Average
RMSE2.3652.2992.3652.2222.3432.3632.3632.6012.3634.5914.5913.937
RRMSE17.817.317.816.717.717.817.819.617.834.634.629.6
NS0.8850.8910.8850.8980.8880.8860.8850.8620.8850.5690.5690.685
MAE1.9081.8501.9071.7761.8851.9051.9062.1191.9063.8253.8253.064
GPI−0.0010.127−0.0010.2780.0350.0030.001−0.4730.001−4.722−4.722−3.273
Rank827134695121110