Research Article

Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China

Table 1

Statistics of the meteorological data of the three stations during the training and testing stages in the study.

Station/Meteorological dataAverageMaximumMinimumSkewKurtosisCV
TrainingTestingTrainingTestingTrainingTestingTrainingTestingTrainingTestingTrainingTesting

Datong
14.5214.5432.3829.05−6.85−5.13−0.24−0.31−1.34−1.410.790.82
1.440.3719.618.01−18.93−18.06−0.14−0.14−1.36−1.267.9730.97
7.987.4525.9923.53−12.89−11.6−0.19−0.23−1.35−1.344.3815.9
14.7315.7224.7924.755.556.06−0.05−0.09−1.28−0.930.370.46
U2.071.863.372.890.961.120.460.80.330.970.20.3
RH51.3454.3276.9478.4726.4729.53−0.11−0.25−0.611.340.220.36
ETo2.832.766.465.720.440.50.170.21−1.33−1.210.580.69

Yinchuan
16.5517.0332.0631.43−5.45−2.27−0.29−0.34−1.29−1.350.650.7
3.984.9420.0919.5−17.27−13.41−0.16−0.27−1.33−1.172.662.17
10.2610.9826.0825.47−11.36−7.84−0.23−0.3−1.31−1.261.661.43
15.9315.425.8524.056.47.020.04−0.03−1.28−0.50.330.43
U1.781.262.771.780.980.840.272.06−0.235.590.210.54
RH54.148.778.6777.423.9324.19−0.460.03−0.580.910.210.38
ETo2.982.856.175.370.460.480.130.09−1.39−1.330.570.66

Taiyuan
17.6217.7932.7531.22−1.89−0.16−0.25−0.35−1.34−1.370.570.63
4.95.3721.3620.18−13.84−11.21−0.08−0.2−1.37−1.262.071.91
11.2611.5827.0625.7−7.87−5.69−0.17−0.27−1.36−1.321.321.27
13.2915.4622.327.814.416.080.030.12−1.21−0.660.350.47
U1.441.392.62.490.570.820.60.890.230.480.270.35
RH57.0555.1285.7479.5728.7935.52−0.090.03−0.882.010.220.35
ETo2.612.835.515.60.490.630.20.2−1.29−1.30.530.65