Arid
DOI10.1175/JHM-D-19-0191.1
Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements
Zhao, Wen Li; Qiu, Guo Yu; Xiong, Yu Jiu; Paw, Kyaw Tha U.; Gentine, Pierre; Chen, Bao Yu
通讯作者Xiong, YJ (corresponding author), Sun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China. ; Xiong, YJ (corresponding author), Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA.
来源期刊JOURNAL OF HYDROMETEOROLOGY
ISSN1525-755X
EISSN1525-7541
出版年2020
卷号21期号:6页码:1349-1365
英文摘要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.
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000617313700013
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
来源机构北京大学 ; University of California, Davis
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/349017
作者单位[Zhao, Wen Li; Qiu, Guo Yu] Peking Univ, Shenzhen Grad Sch, Sch Environm & Energy, Shenzhen, Peoples R China; [Zhao, Wen Li; Gentine, Pierre] Columbia Univ, Dept Earth & Environm Engn, New York, NY USA; [Xiong, Yu Jiu] Sun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China; [Xiong, Yu Jiu; Paw, Kyaw Tha U.] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA; [Chen, Bao Yu] Jilin Acad Agr Sci, Res Inst Agr Resources & Environm, Key Lab Plant Nutr & Agroenvironm Northeast Reg, Minist Agr, Changchun, Jilin, Peoples R China
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GB/T 7714
Zhao, Wen Li,Qiu, Guo Yu,Xiong, Yu Jiu,et al. Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements[J]. 北京大学, University of California, Davis,2020,21(6):1349-1365.
APA Zhao, Wen Li,Qiu, Guo Yu,Xiong, Yu Jiu,Paw, Kyaw Tha U.,Gentine, Pierre,&Chen, Bao Yu.(2020).Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements.JOURNAL OF HYDROMETEOROLOGY,21(6),1349-1365.
MLA Zhao, Wen Li,et al."Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements".JOURNAL OF HYDROMETEOROLOGY 21.6(2020):1349-1365.
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