文献类型： 外文期刊

第一作者： Zhao, Wen Li

作者： Zhao, Wen Li;Qiu, Guo Yu;Zhao, Wen Li;Gentine, Pierre;Xiong, Yu Jiu;Xiong, Yu Jiu;Paw, Kyaw Tha U.;Chen, Bao Yu

作者机构：

期刊名称：JOURNAL OF HYDROMETEOROLOGY （ 影响因子：4.349； 五年影响因子：5.304 ）

ISSN： 1525-755X

年卷期： 2020 年 21 卷 6 期

页码：

收录情况： SCI

摘要： Quantifying the uncertainties caused by resistance parameterizations is fundamental for understanding, improving, and developing terrestrial evapotranspiration (ET) models. Using high-density eddy covariance (EC) tower observations in a heterogeneous oasis in northwest China, this study evaluates the impacts of resistances on the estimation of latent heat flux (LE), the energy equivalent of ET, by comparing resistance parameterizations with different complexities under one- and two-source Penman-Monteith (PM) equations. The results showed that the mean absolute percent error (MAPE) for the LE estimates from the one- and two-source PM equations varied from 32% to 53%, and the uncertainties were caused mainly by the resistance parameterizations. Calibrating the parameters required in the resistance estimations could improve the performance of the PM equations; specifically, the MAPEs for the one-source PM equations were approximately 16%, whereas they were 38% for the two-source PM equations, emphasizing that multiple resistances result in increased uncertainties. The following conclusions were reached: 1) the empirical and biophysical parameters required in resistance estimations were responsible for the uncertainty; 2) increasingly complex resistance parameterizations resulted in greater uncertainties in LE estimates; and 3) models without resistance parameterizations exhibited reduced uncertainties in LE estimates.

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