Research Article

Estimating Potential Evapotranspiration by Missing Temperature Data Reconstruction

Table 2

Statistics of observed and reconstructed temperature data.

1100611022111051114411148220042200622027220292204122058

Observed database
 Count37873787378737873787378737873787378737873787
 Mean28.430926.483326.535425.822226.886326.545227.953727.488123.671322.58324.6975
 Standard deviation3.176013.722573.291894.027823.319983.168753.565493.306993.868143.151553.3165
 Coefficient of variation11.17%14.06%12.41%15.60%12.35%11.94%12.76%12.03%16.34%13.96%13.43%
 Minimum141212101211.515710810
 Maximum373839.54038383938383336
 Range232627.5302626.52431282526
 Standardized bias7.324261.240550.973499
 Standardized kurtosis8.688271.858889.260932.366284.1979611.31153.8522512.34433.996068.555325.73356
Reconstructed
 Count95279527952795279527952795279527952795279527
 Mean28.178326.465526.483825.633426.627826.218627.83227.181723.666822.648924.6669
 Standard deviation3.235994.103593.396224.020343.423073.292273.649433.451413.717453.408913.60241
 Coefficient of variation11.48%15.51%12.82%15.68%12.86%12.56%13.11%12.70%15.71%15.05%14.60%
 Minimum97.498.974910910.049377.3281587.5
 Maximum3745.107839.540.298538393945403639.6972
 Range2837.707830.531.3236283028.95073832.67182832.1972
 Standardized bias8.355180.4199930.368973
 Standardized kurtosis15.702715.351918.61325.232918.9602317.80629.3073619.789314.161210.500716.1258