Effects of Vapor-Pressure Deficit and Net-Irradiance Calculation Methods on Accuracy of Standardized Penman-Monteith Equation in a Humid Climate

Abstract

The effects of some common vapor pressure deficit~VPD! and net irradiance sRnd calculation methods on the accuracy of ETo values estimated by using the standardized ASCE Penman-Monteith ~ASCE-PM! equation for short grass were examined by comparing the estimated ETo values with measured ETo values in a humid climate. Sensitivity analysis showed 17% and 84% change in the estimated daily ETo values per unit change in the calculated VPD and Rn values, respectively. A total of 12 VPD and 27 Rn calculation methods were examined. Analyses of variance indicated lack of equality in the means of estimated ETo values obtained by different VPD and Rn methods. The percent mean error in the estimated ETo values ranged from ˛0.9 to ˛ 8.4% for VPD methods and from ˛0.3 to ˛ 19.7% for Rn methods. On the basis of the coefficient of determination sr 2 d and the standard error of the estimated sSy/xd values, the VPD calculated from saturation vapor pressure sesd, estimated by averaging the es at the maximum and minimum daily air temperatures, and actual vapor pressure sead, estimated by using either the average of minimum and maximum relative humidity or the dew-point temperature, gave more accurate results. Net irradiance sRnd estimated by using a regression of relative short-wave solar irradiance, as well as a linear regression on the square root of ea, resulted in relatively more accurate estimates of ETo than that obtained by methods based on ea or clear-sky data alone. These results indicate that in a humid climate, some of the VPD and Rn methods have a significant effect on the accuracy of theETo estimated by using the standardized ASCE-PM equation.