Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1175/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
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ISSN | 1525-755X |
EISSN | 1525-7541 |
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 |
推荐引用方式 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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