Comparison of hourly and daily Penman-Monteith grass- and alfalfa-reference evapotranspiration equations and crop coefficients for maize under arid climatic conditions

The practical estimation of actual crop evapotranspiration ( ET a ) frequently involves calculating a reference crop evapotranspiration ( ET ref ), and then applying suitable crop coefficients ( K c ). Two standardized calculation procedures based on the Penman-Monteith equation are commonly used as ET ref estimations ( ET o for grass and ET r for alfalfa) across diverse environments. However, not much is known about the difference between ET o and ET r and their corresponding K c values for maize in the arid environment of Northwest China with maize being the dominant crop. Estimates from the two procedures were comprehensively compared at both hourly and daily time steps for 2013 and 2014 growing seasons. The sum-of-hourly ET r and ET o (summed from hourly values over 24 h periods) values were averagely lower than their corresponding daily ET r and ET o values (calculated from daily average meteorological data) by about 1% and 5% in 2013, and 2% and 7% in 2014, respectively. The ratios of ET r to ET o varied seasonally with a mean value slightly lower than the generalized value (1.35) for arid conditions, due primarily to the differences in responsiveness of both standardized PM equations to the trends and interations among input parameters. The K c curves of maize based on grass-reference ( K co ) and alfalfa-reference ( K cr ) were experimentally derived using daily ET o and ET r combined with ET a measured by eddy covariance method. Results suggest the benefit and potentially improved accuracy for ET a estimation when applying alfalfa reference equation combined with the timestep-specific K c curves under the arid conditions. These results provide an acceptable accuracy and precision for estimation of ET a of maize field use using the standardized Penman-Monteith equations, and offer the possibility of extrapolating new sets of K co and K cr to this region or other areas with similar climatic and crop management conditions.