Wind Speed-Independent Two-Source Energy Balance Model Based on a Theoretical Trapezoidal Relationship between Land Surface Temperature and Fractional Vegetation Cover for Evapotranspiration Estimation

被引:4
|
作者
Wang, Xiao-Gang [1 ,2 ]
Kang, Qing [2 ]
Chen, Xiao-Hong [1 ]
Wang, Wen [3 ]
Fu, Qing-Hua [2 ]
机构
[1] Sun Yat Sen Univ, Water Resources & Environm Res Ctr, Guangzhou 519082, Peoples R China
[2] Pearl River Hydraul Res Inst, Guangzhou 510611, Peoples R China
[3] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China
关键词
SENSIBLE HEAT-FLUX; REMOTELY-SENSED DATA; CANOPY TEMPERATURE; SOIL EVAPORATION; 2-LAYER MODEL; HEIHE RIVER; SEBAL MODEL; MODIS; ALGORITHM; CROP;
D O I
10.1155/2020/6364531
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
An accurate estimation of terrestrial evapotranspiration over heterogeneous surfaces using satellite imagery and few meteorological observations remains a challenging task. Wind speed (u), which is known to exhibit high temporal-spatial variation, is a significant constraint in the abovementioned task. In this study, a wind speed-independent two-source energy balance (WiTSEB) model is proposed on the basis of a theoretical land surface temperature (T-r)-fractional vegetation coverage (f(c)) trapezoidal space and a two-stage evapotranspiration decomposing method. The temperatures in theoretically driest boundaries of the T-r-f(c) trapezoid are iteratively calculated without u by using an assumption of the absence of sensible heat exchange between water-saturated surface and atmosphere in the vertical direction under the given atmospheric condition. The WiTSEB was conducted in HiWATER-MUSOEXE-12 in the middle reaches of the Heihe watershed across eight landscapes by using ASTER images. Results indicate that WiTSEB provides reliable estimates in latent heat flux (LE), with root-mean-square-errors (RMSE) and coefficient of determination of 68.6 W m(-2) and 0.88, respectively. The RMSE of the ratio of the vegetation transpiration component to LE is 5.7%. Sensitivity analysis indicates WiTSEB does not aggravate the sensitivity on meteorological and remote sensing inputs in comparison with other two-source models. The errors of estimated T-r and observed soil heat flux result in LE overestimation/underestimation over parts of landscapes. The two-stage evapotranspiration decomposing method is carefully verified by ground observation.
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页数:22
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