Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale

doi:10.2166/nh.2016.165

	Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale
	Yin, Jian 1,2; Zhan, Chesheng 1; Wang, Huixiao 3; Wang, Feiyu 1
刊名	HYDROLOGY RESEARCH
	2017-04-01
卷号	48 期号:2 页码:311-325
关键词	evapotranspiration hydrologic model model optimization remote sensing simulation
ISSN号	1998-9563
DOI	10.2166/nh.2016.165
通讯作者	Zhan, Chesheng()
英文摘要	Hydrological 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.
资助项目	National 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]
WOS关键词	LAND-SURFACE TEMPERATURE ; DATA ASSIMILATION ; SCINTILLOMETER MEASUREMENTS ; UNCERTAINTY ANALYSIS ; ENERGY-BALANCE ; SENSED DATA ; WATER ; OPTIMIZATION ; ALGORITHM ; IMPACT
WOS研究方向	Water Resources
语种	英语
出版者	IWA PUBLISHING
WOS记录号	WOS:000397812500001
资助机构	National Key Basic Research Program of China (973 Program) ; National Natural Science Foundation of China ; Anhui Provincial Natural Science Foundation ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64649]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhan, Chesheng
作者单位	1.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
推荐引用方式 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.