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Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter
Zou, Lei1; Zhan, Chesheng2; Xia, Jun1; Wang, Tiejun3; Gippel, Christopher J.4
2017-06-01
Source PublicationJOURNAL OF HYDROLOGY
ISSN0022-1694
Volume549Pages:685-702
Corresponding AuthorZhan, Chesheng(zhancs@igsnrr.ac.cn) ; Xia, Jun(xiajun666@whu.edu.cn)
AbstractTerrestrial actual evapotranspiration (ETa) is a crucial component of terrestrial water cycles. The most common methods of estimating catchment-scale ETa are remote sensing and hydrological models. These methods have limitations when applied at the catchment scale due to coarse resolutions of data and uncertainties in model predictions. Data assimilation techniques that combine complementary information from hydrological models and observed data can overcome some of the limitations. These techniques have been used in many hydrological modeling studies, but few have applied data assimilation to ETa within a distributed precipitation-runoff catchment modeling framework. This paper proposes a catchment scale ETa data assimilation technique (termed ET-DA) that assimilates remotely sensed ETa data into a distributed time-variant gain hydrological model (DTVGM-ET) for improving hydrological model simulations. The DTVGM-ET improved the ETa computation on the basis of a nonlinear soil water availability function to establish an explicit time response relationship between ETa and soil moisture for implementing the ETa assimilation. The proposed ET-DA system was tested in the Upper Huai River Basin (UHRB), China using data from 2000 to 2012. Through synthetic simulation experiments, the capability of ET-DA for obtaining accurate, continuous time series of ETa estimates and achieving assimilation feedback on soil moisture and streamflow was examined. The results demonstrated that ET-DA provided improved regional ETa monitoring capability, and assimilation of ETa into the hydrological model led to improved model predictions of soil moisture and streamflow. (C) 2017 Elsevier B.V. All rights reserved.
KeywordEvapotranspiration Data assimilation DTVGM-ET Ensemble Kalman Filter Huai River Basin
DOI10.1016/j.jhydrol.2017.04.036
WOS KeywordSENSED SOIL-MOISTURE ; WATER-BALANCE ; HEAT-FLUX ; MODIS ; STREAMFLOW ; EVAPORATION ; VALIDATION ; PRODUCTS ; STATES ; UNCERTAINTY
Indexed BySCI
Language英语
Funding ProjectNational Grand Science and Technology Special Project of Water Pollution Control and Improvement of China[2014ZX07204-006] ; Key Research and Development Program of China[2015CB452701] ; National Natural Science Foundation of China[41571019] ; National Natural Science Foundation of China[41371043]
Funding OrganizationNational Grand Science and Technology Special Project of Water Pollution Control and Improvement of China ; Key Research and Development Program of China ; National Natural Science Foundation of China
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000403855500053
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63130
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhan, Chesheng; Xia, Jun
Affiliation1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin 300072, Peoples R China
4.Griffith Univ, Australian Rivers Inst, Nathan, Qld 4111, Australia
Recommended Citation
GB/T 7714
Zou, Lei,Zhan, Chesheng,Xia, Jun,et al. Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter[J]. JOURNAL OF HYDROLOGY,2017,549:685-702.
APA Zou, Lei,Zhan, Chesheng,Xia, Jun,Wang, Tiejun,&Gippel, Christopher J..(2017).Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter.JOURNAL OF HYDROLOGY,549,685-702.
MLA Zou, Lei,et al."Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter".JOURNAL OF HYDROLOGY 549(2017):685-702.
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