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Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration

文献类型：期刊论文

作者Liu, Suhua2,3,4; Su, Hongbo5; Zhang, Renhua4; Tian, Jing4; Chen, Shaohui4; Wang, Weimin1; Yang, Lijun1; Liang, Hong1
刊名ADVANCES IN METEOROLOGY
出版日期2019
页码13
ISSN号1687-9309
DOI10.1155/2019/6253832
通讯作者Su, Hongbo(hongbo@ieee.org) ; Tian, Jing(tianj.04b@igsnrr.ac.cn)
英文摘要Evapotranspiration (ET) is a significant component in the water cycle, and the estimation of it is imperative in water resource management. Regional ET can be derived by using remote sensing technology which combines remote sensing inputs with ground-based measurements. However, instantaneous ET values estimated through remote sensing directly need to be converted into daily totals. In this study, we attempted to retrieve daily ET from remotely sensed instantaneous ET. The study found that the Gaussian fitting curve closely followed the ET measurements during the daytime and hence put forward the Gaussian fitting method to convert the remotely sensed instantaneous ET into daily ETs. The method was applied to the middle reaches of Heihe River in China. Daily ETs on four days were derived and evaluated with ET measurements from the eddy covariance (EC) system. The correlation between daily ET estimates and measurements showed high accuracy, with a coefficient of determination (R-2) of 0.82, a mean average error (MAE) of 0.41mm, and a root mean square error (RMSE) of 0.46mm. To make more scientific assessments, percent errors were calculated on the estimation accuracy, which ranged from 0% to 18%, with more than 80% of locations having the percent errors within 10%. Analyses on the relationship between daily ET estimates and land use status were also made to assess the Gaussian fitting method, and the results showed that the spatial distribution of daily ET estimates well demonstrated ET differences caused by land use types and was intimately linked with the vegetation pattern. The comparison between the Gaussian fitting method and the sine function method and the ETrF method indicated that results derived through the Gaussian fitting method had higher precision than that obtained by the sine function method and the ETrF method.
WOS关键词EDDY-COVARIANCE ; SURFACE FLUXES ; ENERGY FLUXES ; HEAT-FLUX ; WATER ; EVAPORATION ; CARBON ; RECONSTRUCTION ; COMBINATION ; SIMULATION
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010302] ; National Natural Science Foundation of China[41571356] ; National Natural Science Foundation of China[41671368] ; National Natural Science Foundation of China[41671354] ; National Natural Science Foundation of China[41671373] ; National Basic Research Program of China[2013CB733406] ; Henan Province University Scientific and Technological Innovation Team[18IRTSTHN009] ; Key Project of National Natural Science Foundation of China[41301363]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000456964000001
出版者HINDAWI LTD
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Basic Research Program of China ; Henan Province University Scientific and Technological Innovation Team ; Key Project of National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/50563]  
专题中国科学院地理科学与资源研究所
通讯作者Su, Hongbo; Tian, Jing
作者单位1.Shenzhen Environm Monitoring Ctr, Shenzhen 518049, Peoples R China
2.North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450046, Henan, Peoples R China
3.Henan Key Lab Water Environm Simulat & Treatment, Zhengzhou 450046, Henan, Peoples R China
4.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA
推荐引用方式
GB/T 7714		 Liu, Suhua,Su, Hongbo,Zhang, Renhua,et al. Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration[J]. ADVANCES IN METEOROLOGY,2019:13.
APA Liu, Suhua.,Su, Hongbo.,Zhang, Renhua.,Tian, Jing.,Chen, Shaohui.,...&Liang, Hong.(2019).Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration.ADVANCES IN METEOROLOGY,13.
MLA Liu, Suhua,et al."Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration".ADVANCES IN METEOROLOGY (2019):13.

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来源：地理科学与资源研究所

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