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Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale
Yin, Jian1,2; Zhan, Chesheng1; Wang, Huixiao3; Wang, Feiyu1
2017-04-01
Source PublicationHYDROLOGY RESEARCH
ISSN1998-9563
Volume48Issue:2Pages:311-325
Corresponding AuthorZhan, Chesheng()
AbstractHydrological models and remote sensing evapotranspiration (ET) models usually are used to estimate regional ET. This study aims to integrate the advantages of both the models to simulate the daily ET processes. A compromise between these two methodologies is represented by improving the optimization of the hydrological model on the basis of a new probability optimal ET series, which is produced by a data assimilation scheme combining sparse remote estimates and continuous modeling of regional ETs. The distributed time-variant gain hydrological model (DTVGM) and a two-layer remote sensing ET model are chosen. First, the DTVGM is optimized by maximizing the Nash-Sutcliffe efficiency of daily streamflow in the Shahe River basin, and simulates the daily hydrological processes of 1999-2007. For improving the accuracy of continuous ET simulation, the DTVGM is further optimized by dual objective functions composed of the assimilated ETs and observed outlet discharge. The results show that the accuracy of the DTVGM-based daily ETs is improved after the dual optimization, and the mean absolute percentage error between the DTVGM-based ETs and the measured ETs in the study area is reduced by 5.84%. The integrated method is proved better, and improves the hydrology modeling accuracy.
Keywordevapotranspiration hydrologic model model optimization remote sensing simulation
DOI10.2166/nh.2016.165
WOS KeywordLAND-SURFACE TEMPERATURE ; DATA ASSIMILATION ; SCINTILLOMETER MEASUREMENTS ; UNCERTAINTY ANALYSIS ; ENERGY-BALANCE ; SENSED DATA ; WATER ; OPTIMIZATION ; ALGORITHM ; IMPACT
Indexed BySCI
Language英语
Funding ProjectNational Key Basic Research Program of China (973 Program)[2015CB452701] ; National Natural Science Foundation of China[41271003] ; National Natural Science Foundation of China[41401042] ; Anhui Provincial Natural Science Foundation[1508085QD69] ; China Postdoctoral Science Foundation[2014M550823]
Funding OrganizationNational Key Basic Research Program of China (973 Program) ; National Natural Science Foundation of China ; Anhui Provincial Natural Science Foundation ; China Postdoctoral Science Foundation
WOS Research AreaWater Resources
WOS SubjectWater Resources
WOS IDWOS:000397812500001
PublisherIWA PUBLISHING
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64650
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhan, Chesheng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Anqing Normal Univ, Sch Resources & Environm, Anqing 246011, Peoples R China
3.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Yin, Jian,Zhan, Chesheng,Wang, Huixiao,et al. Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale[J]. HYDROLOGY RESEARCH,2017,48(2):311-325.
APA Yin, Jian,Zhan, Chesheng,Wang, Huixiao,&Wang, Feiyu.(2017).Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale.HYDROLOGY RESEARCH,48(2),311-325.
MLA Yin, Jian,et al."Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale".HYDROLOGY RESEARCH 48.2(2017):311-325.
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