Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements
| العنوان: | Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements |
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| المؤلفون: | Pierre Gentine, Bao Yu Chen, Kyaw Tha Paw U, Yujiu Xiong, Guo Yu Qiu, Wen Li Zhao |
| المصدر: | Journal of Hydrometeorology. 21:1349-1365 |
| بيانات النشر: | American Meteorological Society, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Atmospheric Science, 010504 meteorology & atmospheric sciences, Evapotranspiration, 0207 environmental engineering, Eddy covariance, High density, Environmental science, 02 engineering and technology, 020701 environmental engineering, Atmospheric sciences, 01 natural sciences, 0105 earth and related environmental sciences |
| الوصف: | 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. |
| تدمد: | 1525-7541 1525-755X |
| DOI: | 10.1175/jhm-d-19-0191.1 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::5205f5d4333461e6997cdb83e2c2c009 https://doi.org/10.1175/jhm-d-19-0191.1 |
| رقم الانضمام: | edsair.doi...........5205f5d4333461e6997cdb83e2c2c009 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15257541 1525755X |
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| DOI: | 10.1175/jhm-d-19-0191.1 |