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An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing
Xiong, Yu Jiu1,2; Zhao, Shao Hua3; Tian, Fei4; Qiu, Guo Yu5
2015-11-01
Source PublicationJOURNAL OF HYDROLOGY
Volume530Issue:1Pages:392-404
AbstractAn accurate estimation of evapotranspiration (ET) is crucial to better understand the water budget and improve related studies. Satellite remote sensing provides an unprecedented opportunity to map the spatiotemporal distribution of ET. However, ET values from barren or sparsely vegetated areas in arid regions are often assumed to be zero in typical ET products because of their low values. In addition, separating ET into soil evaporation (E-s) and vegetation transpiration (E-c) is difficult. To address these challenges, we developed an ET product (MOD3T) based on a three-temperature model and thermal remote sensing, specifically Moderate Resolution Imaging Spectroradiometer (MODIS) data. MOD3T has a spatial resolution of 1 km and a temporal resolution of 8 days. All input parameters except air temperature were obtained from MODIS datasets. Validation in two adjacent arid river basins in northwestern China showed that the mean absolute errors (mean absolute percent errors) between the MOD3T and flux tower ET were 0.71 mm d(-1) (18.5%) and 0.16 mm d(-1) (24.9%) for a densely vegetated area and sparsely vegetated sandy desert, respectively. The error between the MOD3T and water balance ET was 24 mm y(-1) (8.1%). The E-c/ET or E-s/ET of MOD3T was comparable to the observed stable oxygen and hydrogen isotopes. Unlike the MODIS ET (MOD16), MOD3T could not provide continuous ET values (as 70% of the MOD16 area lacked data) but exhibited relatively low uncertainty, particularly in cold seasons. Therefore, MOD3T can provide ET, E-s and E-c estimates for arid regions within acceptable ranges. (C) 2015 Elsevier B.V. All rights reserved.
KeywordEvapotranspiration Evaporation Transpiration Mod16 Heihe River Basin Shiyanghe River Basin
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
DOI10.1016/j.jhydrol.2015.09.050
WOS KeywordHEIHE RIVER-BASIN ; TURBULENT HEAT FLUXES ; BALANCE SYSTEM SEBS ; LAND-SURFACE ; ENERGY-BALANCE ; NORTHWEST CHINA ; SOIL EVAPORATION ; CARBON-DIOXIDE ; TERRESTRIAL EVAPOTRANSPIRATION ; METEOROLOGICAL DATA
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Geology ; Water Resources
Funding OrganizationNational Natural Science Foundation of China(41201433 ; Specialized Research Fund for the Doctoral Program of Higher Education of China(20110171120001) ; National Basic Research Program (973 Program)(2009CB421303) ; 91025008 ; 41101313)
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000365050600033
Citation statistics
Cited Times:20[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.rcees.ac.cn/handle/311016/24660
Collection城市与区域生态国家重点实验室
Affiliation1.Sun Yat Sen Univ, Dept Water Resource & Environm, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China
2.Sun Yat Sen Univ, Key Lab Water Cycle & Water Secur Southern China, Guangdong High Educ Inst, Guangzhou 510275, Guangdong, Peoples R China
3.Minist Environm Protect, Satellite Environm Ctr, State Environm Protect Key Lab Satellite Remote S, Beijing, Peoples R China
4.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, Beijing, Peoples R China
5.Peking Univ, Shenzhen Engn Lab Water Desalinizat Renewable Ene, Sch Environm & Energy, Shenzhen, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Xiong, Yu Jiu,Zhao, Shao Hua,Tian, Fei,et al. An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing[J]. JOURNAL OF HYDROLOGY,2015,530(1):392-404.
APA Xiong, Yu Jiu,Zhao, Shao Hua,Tian, Fei,&Qiu, Guo Yu.(2015).An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing.JOURNAL OF HYDROLOGY,530(1),392-404.
MLA Xiong, Yu Jiu,et al."An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing".JOURNAL OF HYDROLOGY 530.1(2015):392-404.
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