Research Article

Solar Radiation Models and Gridded Databases to Fill Gaps in Weather Series and to Project Climate Change in Brazil

Table 2

Average daily annual coefficients of Hargreaves (Ha), Hunt (Hu), Annandale (An), Bristow–Campbell (BC), and Donatelli–Campbell (DC) temperature-based solar radiation models for each of the Brazilian locations considered in this study.

ModelHaHuAnBCDC
Coefficientsabcdefhij

RSPE0.180.19−1.120.180.750.071.290.750.141.98
RSCA0.170.19−2.080.170.760.021.730.760.062.29
SCCN0.170.18−1.490.170.770.041.520.770.141.94
SCCH0.170.18−1.060.170.760.031.640.760.112.08
PRCA0.100.11−0.630.100.770.051.020.770.151.57
PRLO0.120.13−1.460.120.760.031.300.760.091.88
SPAV0.170.160.660.160.770.041.440.770.161.89
SPFR0.180.121.790.130.770.041.320.770.111.86
SPVP0.170.161.700.170.760.031.650.760.082.20
MGBA0.140.16−1.860.140.760.051.260.760.092.00
MGUB0.170.160.990.170.760.011.980.760.032.57
MGPM0.170.160.940.160.770.021.790.770.042.42
MGUN0.160.16−0.510.160.760.021.750.760.042.46
MSIV0.170.19−2.000.170.760.021.820.760.072.27
MSPA0.180.20−3.190.170.760.021.790.760.062.39
MTDI0.150.141.560.150.760.041.390.760.102.03
GOCA0.170.170.230.170.770.021.810.770.042.46
GOJA0.150.16−0.760.150.760.051.320.760.102.02
DFBR0.180.153.080.170.770.031.710.770.062.36
BABJ0.180.180.120.180.760.031.720.760.062.39
BABA0.170.18−1.260.170.760.031.600.760.052.38
BARR0.180.21−3.080.180.760.012.230.760.022.94
PIBJ0.110.049.980.110.760.031.250.760.081.88
MAAP0.170.19−2.880.170.760.021.790.760.042.52
MACA0.180.20−2.270.180.750.031.710.750.052.42
MABC0.160.22−7.700.160.750.012.040.750.022.75
TOTA0.170.161.050.170.760.021.830.760.042.52
TOPN0.170.20−3.770.160.750.031.580.750.062.31
TOPA0.170.20−2.890.170.750.031.680.750.072.30
PASF0.130.112.840.130.750.031.350.750.072.02
PAMA0.170.22−5.290.170.750.021.920.750.042.51
Mean0.160.17−0.660.160.760.031.620.760.072.24