Turpan region is a typical dryland area with little rainfall. Annual evaporation is much larger than precipitation. It is one of the most arid regions under severe water scarcity in China. Accurate estimation of reference crop evapotranspiration (ET0) is the basis for designing farmland irrigation systems and developing the water-saving agriculture in Turpan. Using meteorological data in crop growing season (from April to October) at Turpan observation station from 2000 to 2015, based on linear regression, root mean square error(RMSE), mean absolute error(MAE), and mean relative error(MRE) statistical indices, taking FAO-56 Penman-Monteith(FAO-56 PM) model as the standard, Priestley-Taylor(P-T), Hargreaves-Samani(H-S), Jensen-Haise(J-H), Turc, Makkink-Allen(M-A), Trajkovic(Traj), Makkink-Hansen(M-H), and Berti-Hargreaves(B-H) models were evaluated in Turpan, and the reasons for the model deviations were analyzed. The results are given as follows. 1) All the models showed the unimodal trend during the growing season. H-S, Traj, and B-H models overestimated the monthly ET0, while other models underestimated the monthly ET0 in varying degrees. 2) The estimated ET0 of Traj model was close to that of FAO-56 PM model, with the RMSE, MAE, and MRE values being 6.38 mm, 5.69 mm, and 4.29%, respectively. The simulation accuracy of M-H model was the second, and Turc model had the worst simulation accuracy. 3) Rn and VPD were the main meteorological factors that affected the deviations of the temperature and radiation models. At the same time, the relationship between the ET0 calculated by the FAO-56 PM model and the pan evaporation was analyzed, which provides a reference for estimating ET0 in Turpan by using the pan evaporation.
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