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Table 7 Model performance indices determined for the spring and summer simulations with the urban unit model

From: Transforming typical hourly simulation weather data files to represent urban locations by using a 3D urban unit representation with micro-climate simulations

Model performance indices T (RH) - spring (May) T (RH) - summer (June)
  Group 1 Group 2 Group 3 Group 1 Group 2 Group 3
Mean Squared Error (MSE) 0.08 (48.5) 0.31 (91.3) 0.90 (226.5) 0.15 (77.2) 0.52 (65.2) 0.67 (88.3)
Mean Bias Error (MBE) 0.15 (-6.8) 0.31 (-9.2) 0.84 (-14.4) −0.11 (-8.4) 0.23 (-6.9) 0.75 (-8.9)
MSE systematic 0.04 (46) 0.11 (89.8) 0.80 (219.4) 0.04 (73.5) 0.08 (53.6) 0.56 (84.0)
Root Mean Squared Error (RMSE) 0.29 (6.9) 0.56 (9.6) 0.95 (15.1) 0.38 (8.8) 0.72 (8.1) 0.82 (9.4)
RMSE systematic 0.19 (6.78) 0.33 (9.47) 0.89 (14.81) 0.20 (8.56) 0.27 (7.32) 0.75 (9.17)
MSE unsystematic 0.05 (1.96) 0.20 (2.45) 0.10 (8.37) 0.11 (3.71) 0.45 (11.60) 0.11 (4.73)
RMSE unsystematic 0.22 (1.40) 0.45 (1.57) 0.32 (2.89) 0.33 (1.93) 0.67 (3.41) 0.33 (2.17)
Mean Absolute Percentage Error (MAPE) 1 % (7 %) 2 % (11 %) 3 % (20 %) 2 % (9 %) 2 % (9 %) 2 % (13 %)
Index of agreement d 0.78 (0.17) 0.97 (0.82) 0.98 (0.73) 0.94 (0.29) 0.98 (0.89) 0.98 (0.85)