Comparison of Two Satellite-Based Evapotranspiration Models of the Nagqu River Basin of the Tibetan Plateau

被引:23
作者
Zou, Mijun [1 ]
Zhong, Lei [1 ]
Ma, Yaoming [2 ,3 ,4 ]
Hu, Yuanyuan [1 ]
Huang, Ziyu [1 ]
Xu, Kepiao [1 ]
Feng, Lu [5 ]
机构
[1] Univ Sci & Technol China, Sch Earth & Space Sci, Lab Atmospher Observat & Climate Environm Res, Hefei, Anhui, Peoples R China
[2] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China
[3] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
[4] Univ Chinese Acad Sci, Beijing, Peoples R China
[5] China Meteorol Adm, Inst Trop & Marine Meteorol, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金; 欧盟第七框架计划;
关键词
evapotranspiration; TESEBS; Priestley-Taylor; Nagqu River Basin; SURFACE HEAT FLUXES; LAND-SURFACE; PRIESTLEY-TAYLOR; ENERGY-BALANCE; PENMAN-MONTEITH; SENSIBLE HEAT; EVAPORATION; MODIS; VEGETATION; RADIATION;
D O I
10.1002/2017JD027965
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Evapotranspiration (ET) is one of the major uncertain components of the energy and water cycle and was derived for the Nagqu River Basin based on remote sensing data and atmospheric surface layer observations under cloudless conditions. Two process-based models were used to determine the ET: a Priestley-Taylor (PT)-based model and a topographical enhanced surface energy balance system (TESEBS) model. Improved broadband albedo, downward shortwave radiation flux, and reconstructed normalized difference vegetation index (NDVI) were coupled into the TESEBS model and PT-based model to estimate the actual ET. The atmospheric surface layer meteorological data, SPOT Vegetation (VGT) data, and Moderate Resolution Imaging Spectroradiometer data were used as inputs for 10-day ET calculations. The model-estimated results were compared with ground truths calculated via the combinatory method. The results indicated that the ET determined by both models well fit the actual ET, with correlation coefficients (R) of 0.88 and 0.82, respectively. However, the TESEBS model showed a better performance than the PT model, with a lower mean bias error (-0.02mm/hr) and lower root-mean-square error (0.08mm/hr). Although the PT model is computationally simple and requires few parameters, the strong weighting of the NDVI may lead to some overestimations, especially during the growing season.
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页码:3961 / 3975
页数:15
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