IGSNRR OpenIR
Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration
Liu, Suhua1,2,3; Su, Hongbo4; Zhang, Renhua3; Tian, Jing3; Chen, Shaohui3; Wang, Weimin5; Yang, Lijun5; Liang, Hong5
2019
Source PublicationADVANCES IN METEOROLOGY
ISSN1687-9309
Pages13
Corresponding AuthorSu, Hongbo(hongbo@ieee.org) ; Tian, Jing(tianj.04b@igsnrr.ac.cn)
AbstractEvapotranspiration (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.
DOI10.1155/2019/6253832
WOS KeywordEDDY-COVARIANCE ; SURFACE FLUXES ; ENERGY FLUXES ; HEAT-FLUX ; WATER ; EVAPORATION ; CARBON ; RECONSTRUCTION ; COMBINATION ; SIMULATION
Indexed BySCI
Language英语
Funding ProjectStrategic 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]
Funding OrganizationStrategic 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
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000456964000001
PublisherHINDAWI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/50564
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSu, Hongbo; Tian, Jing
Affiliation1.North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450046, Henan, Peoples R China
2.Henan Key Lab Water Environm Simulat & Treatment, Zhengzhou 450046, Henan, Peoples R China
3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA
5.Shenzhen Environm Monitoring Ctr, Shenzhen 518049, Peoples R China
Recommended Citation
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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