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Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?

文献类型：期刊论文

作者Zhang, Yongqiang2; Chiew, Francis H. S.3; Liu, Changming2; Tang, Qiuhong2; Xia, Jun1,2; Tian, Jing2; Kong, Dongdong4; Li, Congcong2
刊名WATER RESOURCES RESEARCH
出版日期2020
卷号56期号:1页码:15
ISSN号0043-1397
DOI10.1029/2019WR026236
通讯作者Zhang, Yongqiang(yongqiang.zhang2014@gmail.com)
英文摘要Runoff prediction in ungauged catchments is a significant hydrological challenge. The common approach is to calibrate hydrological models against streamflow data from gauged catchments, and then regionalize or transfer parameter values from the gauged calibration to predict runoff in the ungauged catchments. This paper explores the potential for using parameter values from hydrological models calibrated solely against readily available remotely sensed evapotranspiration data to estimate runoff time series. The advantage of this approach is that it does not require observed streamflow data for model calibration and is therefore particularly useful for runoff prediction in poorly gauged or ungauged regions. The modeling experiments are carried out using data from 222 catchments across Australia. The results from the remotely sensed evapotranspiration runoff-free calibration are encouraging, particularly in simulating monthly runoff and mean annual runoff in the wetter catchments. However, results for daily runoff and in the drier regions are relatively poor, and further developments are needed to realize the benefit of direct model calibration against remotely sensed data to predict runoff in ungauged catchments.
WOS关键词SOIL-MOISTURE ; MODEL ; STREAMFLOW ; CATCHMENTS ; ENSEMBLE ; REGIONALIZATION ; ASSIMILATION ; PARAMETERS ; AUSTRALIA ; CLIMATE
资助项目CAS Pioneer Hundred Talents Program ; National Natural Science Foundation of China[41971032]
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
语种英语
WOS记录号WOS:000520132500031
出版者AMER GEOPHYSICAL UNION
资助机构CAS Pioneer Hundred Talents Program ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/133187]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Yongqiang
作者单位1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Whuhan, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
3.CSIRO Land & Water, Canberra, ACT, Australia
4.Sun Yan Sen Univ, Sch Geog & Planning, Guangzhou, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Yongqiang,Chiew, Francis H. S.,Liu, Changming,et al. Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?[J]. WATER RESOURCES RESEARCH,2020,56(1):15.
APA Zhang, Yongqiang.,Chiew, Francis H. S..,Liu, Changming.,Tang, Qiuhong.,Xia, Jun.,...&Li, Congcong.(2020).Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?.WATER RESOURCES RESEARCH,56(1),15.
MLA Zhang, Yongqiang,et al."Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?".WATER RESOURCES RESEARCH 56.1(2020):15.

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来源：地理科学与资源研究所

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