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Improving hydrological simulations by incorporating GRACE data for model calibration
Bai, Peng; Liu, Xiaomang; Liu, Changming
2018-02-01
Source PublicationJOURNAL OF HYDROLOGY
ISSN0022-1694
Volume557Pages:291-304
Corresponding AuthorLiu, Xiaomang(liaoxfxm@163.com)
AbstractHydrological model parameters are typically calibrated by observed streamflow data. This calibration strategy is questioned when the simulated hydrological variables of interest are not limited to stream flow. Well-performed streamflow simulations do not guarantee the reliable reproduction of other hydrological variables. One of the reasons is that hydrological model parameters are not reasonably identified. The Gravity Recovery and Climate Experiment (GRACE)-derived total water storage change (MSC) data provide an opportunity to constrain hydrological model parameterizations in combination with stream flow observations. In this study, a multi-objective calibration scheme based on GRACE-derived TWSC and streamflow observations was compared with the traditional single-objective calibration scheme based on only streamflow simulations. Two hydrological models were employed on 22 catchments in China with different climatic conditions. The model evaluations were performed using observed streamflows, GRACE -derived TWSC, and actual evapotranspiration (ET) estimates from flux towers and from the water balance approach. Results showed that the multi-objective calibration scheme provided more reliable TWSC and ET simulations without significant deterioration in the accuracy of streamflow simulations than the single-objective calibration. The improvement in TWSC and ET simulations was more significant in relatively dry catchments than in relatively wet catchments. In addition, hydrological models calibrated using GRACE-derived TWSC data alone cannot obtain accurate runoff simulations in ungauged catchments. This study highlights the importance of including additional constraints in addition to streamflow observations to improve performances of hydrological models. (C) 2017 Elsevier B.V. All rights reserved.
KeywordGRACE Hydrological model Parameterization Hydrological simulations
DOI10.1016/j.jhydrol.2017.12.025
WOS KeywordLAND-SURFACE MODEL ; MISSISSIPPI RIVER-BASIN ; SMOS SOIL-MOISTURE ; WATER STORAGE DATA ; PARAMETER-ESTIMATION ; PROCESS REPRESENTATION ; CLIMATE EXPERIMENT ; DATA ASSIMILATION ; GRAVITY RECOVERY ; UNGAUGED BASINS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41330529] ; National Natural Science Foundation of China[41601034] ; National Natural Science Foundation of China[41571024] ; National Key Research and Development Program of China[2016YFC0401402]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000425077300025
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57029
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Xiaomang
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Bai, Peng,Liu, Xiaomang,Liu, Changming. Improving hydrological simulations by incorporating GRACE data for model calibration[J]. JOURNAL OF HYDROLOGY,2018,557:291-304.
APA Bai, Peng,Liu, Xiaomang,&Liu, Changming.(2018).Improving hydrological simulations by incorporating GRACE data for model calibration.JOURNAL OF HYDROLOGY,557,291-304.
MLA Bai, Peng,et al."Improving hydrological simulations by incorporating GRACE data for model calibration".JOURNAL OF HYDROLOGY 557(2018):291-304.
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