Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021735 |
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
![]() |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论