Advances in Meteorology / 2018 / Article / Tab 3 / Research Article
Solar Radiation Models and Gridded Databases to Fill Gaps in Weather Series and to Project Climate Change in Brazil Table 3 Statistical evaluation of daily gridded databases for maximum air temperature (T max ), minimum air temperature (T min ), solar radiation (Q g ), rainfall (Rain), relative humidity (RH), and wind speed (WS2m ), considering 31 locations in Brazil.
Variable Database Indexes r 2 d c Classification Bias (°C) MAE (°C) T max AgCFSR 0.77 0.93 0.82 Very good 0.47 1.88 AgMERRA 0.76 0.93 0.81 Very good −0.37 1.86 NASA/POWER 0.68 0.89 0.73 Good −1.18 2.46 XAVIER 1.00 1.00 1.00 Great −0.03 0.17 r 2 d c Classification Bias (°C) MAE (°C) T min AgCFSR 0.80 0.94 0.84 Very good 0.71 1.63 AgMERRA 0.82 0.95 0.86 Great 0.08 1.45 NASA/POWER 0.77 0.93 0.82 Very good 0.76 1.74 XAVIER 0.98 0.99 0.98 Great 0.06 0.30 r 2 d c Classification Bias (MJ·m−2 ·d−1 ) MAE (MJ·m−2 ·d−1 ) Q g AgCFSR 0.64 0.89 0.71 Good −0.66 2.65 AgMERRA 0.64 0.88 0.71 Good −1.32 2.79 NASA/POWER 0.76 0.93 0.81 Very good −0.58 2.19 XAVIER 0.94 0.97 0.94 Great −1.19 1.57 r 2 d c Classification Bias (mm·d−1 ) MAE (mm·d−1 ) Rain AgCFSR 0.16 0.60 0.24 Terrible −0.03 4.88 AgMERRA 0.25 0.67 0.33 Terrible −0.03 4.48 NASA/POWER 0.20 0.65 0.29 Terrible 0.12 4.86 XAVIER 0.88 0.96 0.90 Great −0.10 1.51 r 2 d c Classification Bias (%) MAE (%) RH AgCFSR 0.52 0.79 0.57 Suffering −2.43 14.43 AgMERRA 0.38 0.72 0.45 Bad −6.67 17.06 NASA/POWER 0.55 0.82 0.61 Median −6.75 11.14 XAVIER 0.90 0.97 0.92 Great 0.18 3.76 r 2 d c Classification Bias (m·s−1 ) MAE (m·s−1 ) WS2m AgCFSR 0.10 0.56 0.18 Terrible 0.17 0.83 AgMERRA 0.08 0.53 0.15 Terrible 0.54 0.98 NASA/POWER 0.14 0.69 0.21 Terrible 0.64 0.86 XAVIER 0.47 0.79 0.54 Suffering 0.22 0.49