干旱区生态环境知识资源中心(Arid): Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region

Arid

DOI	10.5194/hess-24-3331-2020
	Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region
	Hulsman, Petra; Winsemius, Hessel C.; Michailovsky, Claire I.; Savenije, Hubert H. G.; Hrachowitz, Markus
通讯作者	Hulsman, P
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN	1027-5606
EISSN	1607-7938
出版年	2020
卷号	24 期号:6 页码:3331-3359
英文摘要	Limited availability of ground measurements in the vast majority of river basins world-wide increases the value of alternative data sources such as satellite observations in hydrological modelling. This study investigates the potential of using remotely sensed river water levels, i.e. altimetry observations, from multiple satellite missions to identify parameter sets for a hydrological model in the semi-arid Luangwa River basin in Zambia. A distributed process-based rainfall-runoff model with sub-grid process heterogeneity was developed and run on a daily timescale for the time period 2002 to 2016. As a benchmark, feasible model parameter sets were identified using traditional model calibration with observed river discharge data. For the parameter identification using remote sensing, data from the Gravity Recovery and Climate Experiment (GRACE) were used in a first step to restrict the feasible parameter sets based on the seasonal fluctuations in total water storage. Next, three alternative ways of further restricting feasible model parameter sets using satellite altimetry time series from 18 different locations along the river were compared. In the calibrated benchmark case, daily river flows were reproduced relatively well with an optimum Nash-Sutcliffe efficiency of E-NS,E-Q = 0.78 (5/95th percentiles of all feasible solutions E-NS,E-Q,E-5/95 = 0.61-0.75). When using only GRACE observations to restrict the parameter space, assuming no discharge observations are available, an optimum of E-NS,E-Q = 1.4 (E-NS,E-Q,E-5/95 = 2.3-0.38) with respect to discharge was obtained. The direct use of altimetry-based river levels frequently led to overestimated flows and poorly identified feasible parameter sets (E-NS,E-Q,E-5/95 = 2.9-0.10). Similarly, converting modelled discharge into water levels using rating curves in the form of power relationships with two additional free calibration parameters per virtual station resulted in an overestimation of the discharge and poorly identified feasible parameter sets (E-NS,E-Q,E-5/95 = 2.6-0.25). However, accounting for river geometry proved to be highly effective. This included using river cross-section and gradient information extracted from global high-resolution terrain data available on Google Earth and applying the Strickler-Manning equation to convert modelled discharge into water levels. Many parameter sets identified with this method reproduced the hydrograph and multiple other signatures of discharge reasonably well, with an optimum of E-NS,E-Q = 0.60 (E-NS,E-Q,E-5/95 = 0.31-0.50). It was further shown that more accurate river cross-section data improved the water-level simulations, modelled rating curve, and discharge simulations during intermediate and low flows at the basin outlet where detailed on-site cross-section information was available. Also, increasing the number of virtual stations used for parameter selection in the calibration period considerably improved the model performance in a spatial split-sample validation. The results provide robust evidence that in the absence of directly observed discharge data for larger rivers in data-scarce regions, altimetry data from multiple virtual stations combined with GRACE observations have the potential to fill this gap when combined with readily available estimates of river geometry, thereby allowing a step towards more reliable hydrological modelling in poorly gauged or un-gauged basins.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000545956200001
WOS关键词	SATELLITE RADAR ALTIMETRY ; RIVER DISCHARGE ESTIMATION ; LEVEL TIME-SERIES ; RATING-CURVES ; SURFACE-WATER ; DATA ASSIMILATION ; UNGAUGED BASINS ; STORAGE CHANGES ; HESS-OPINIONS ; CALIBRATION
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324946
作者单位	[Hulsman, Petra; Winsemius, Hessel C.; Savenije, Hubert H. G.; Hrachowitz, Markus] Delft Univ Technol, Fac Civil Engn & Geosci, Water Resources Sect, Stevinweg 1, NL-2628 CN Delft, Netherlands; [Michailovsky, Claire I.] IHE Delft Inst Water Educ, Westvest 7, NL-2611 AX Delft, Netherlands
推荐引用方式 GB/T 7714	Hulsman, Petra,Winsemius, Hessel C.,Michailovsky, Claire I.,et al. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region[J],2020,24(6):3331-3359.
APA	Hulsman, Petra,Winsemius, Hessel C.,Michailovsky, Claire I.,Savenije, Hubert H. G.,&Hrachowitz, Markus.(2020).Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region.HYDROLOGY AND EARTH SYSTEM SCIENCES,24(6),3331-3359.
MLA	Hulsman, Petra,et al."Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region".HYDROLOGY AND EARTH SYSTEM SCIENCES 24.6(2020):3331-3359.