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DOI10.1002/2017WR021735
Discharge Estimation in Ungauged Basins Through Variational Data Assimilation: The Potential of the SWOT Mission
Oubanas, H.1; Gejadze, I.1; Malaterre, P. -O.1; Durand, M.2,3; Wei, R.3; Frasson, R. P. M.3; Domeneghetti, A.4
2018-03-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2018
卷号54期号:3页码:2405-2423
文章类型Article
语种英语
国家France; USA; Italy
英文摘要

Space-borne instruments can measure river water surface elevation, slope, and width. Remote sensing of river discharge in ungauged basins is far more challenging, however. This work investigates the estimation of river discharge from simulated observations of the forthcoming Surface Water and Ocean Topography (SWOT) satellite mission using a variant of the classical variational data assimilation method "4D-Var." The variational assimilation scheme simultaneously estimates discharge, river bathymetry, and bed roughness in the context of a 1.5 D full Saint-Venant hydraulic model. Algorithms and procedures are developed to apply the method to fully ungauged basins. The method was tested on the Po and Sacramento Rivers. The SWOT hydrology simulator was used to produce synthetic SWOT observations at each overpass time by simulating the interaction of SWOT radar measurements with the river water surface and nearby land surface topography at a scale of approximately 1 m, thus accounting for layover, thermal noise, and other effects. SWOT data products were synthesized by vectorizing the simulated radar returns, leading to height and width estimates at 200 m increments along the river centerlines. The ingestion of simulated SWOT data generally led to local improvements on prior bathymetry and roughness estimates which allowed the prediction of river discharge at the overpass times with relative root mean squared errors of 12.1% and 11.2% for the Po and Sacramento Rivers, respectively. Nevertheless, equifinality issues that arise from the simultaneous estimation of bed elevation and roughness may prevent their use for different applications, other than discharge estimation through the presented framework.


英文关键词data assimilation inverse problems uncertainty hydraulic modeling SWOT remote sensing
领域资源环境
收录类别SCI-E
WOS记录号WOS:000430364900053
WOS关键词DISTRIBUTED WATER LEVELS ; SATELLITE ALTIMETRY ; RADAR ALTIMETER ; PART I ; RIVER ; SURFACE ; IMPLEMENTATION ; ENVISAT ; SYSTEM ; TOPEX/POSEIDON
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/21289
专题资源环境科学
作者单位1.Natl Res Inst Sci & Technol Environm & Agr, Montpellier, France;
2.Ohio State Univ, Sch Earth Sci, Columbus, OH 43210 USA;
3.Ohio State Univ, Byrd Polar & Climate Res Ctr, Columbus, OH 43210 USA;
4.Univ Bologna, Sch Civil Engn, Dept DICAM, Bologna, Italy
推荐引用方式
GB/T 7714
Oubanas, H.,Gejadze, I.,Malaterre, P. -O.,et al. Discharge Estimation in Ungauged Basins Through Variational Data Assimilation: The Potential of the SWOT Mission[J]. WATER RESOURCES RESEARCH,2018,54(3):2405-2423.
APA Oubanas, H..,Gejadze, I..,Malaterre, P. -O..,Durand, M..,Wei, R..,...&Domeneghetti, A..(2018).Discharge Estimation in Ungauged Basins Through Variational Data Assimilation: The Potential of the SWOT Mission.WATER RESOURCES RESEARCH,54(3),2405-2423.
MLA Oubanas, H.,et al."Discharge Estimation in Ungauged Basins Through Variational Data Assimilation: The Potential of the SWOT Mission".WATER RESOURCES RESEARCH 54.3(2018):2405-2423.
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