Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6359-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-6359-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Dec 2021
Research article |
| 16 Dec 2021
| 16 Dec 2021
Calibrating 1D hydrodynamic river models in the absence of cross-section geometry using satellite observations of water surface elevation and river width
School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
Department of Environmental Engineering, Technical University of
Denmark, 2800 Kongens Lyngby, Denmark
Silja Westphal Christensen
Department of Environmental Engineering, Technical University of
Denmark, 2800 Kongens Lyngby, Denmark
Department of Applied Mathematics and Computer Science, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
Peter Bauer-Gottwein
Department of Environmental Engineering, Technical University of
Denmark, 2800 Kongens Lyngby, Denmark
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Cited
18 citations as recorded by crossref.
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al.
- Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review M. Lubczynski et al.
- Leveraging “SWOT and a-priori information (SWAP)” constrained channel parameters for improved historical river discharge estimates from space J. Xu et al.
- Convolutional neural networks-driven bias correction of satellite precipitation improves rainfall-runoff-inundation modeling O. Huong et al.
- Comparison of Multiple Indirect Approaches to Estimate Streamflow in the Osage and Severn Rivers S. Vatanchi & M. Maghrebi
- Total Maximum Daily Load Application Using Biological Oxygen Demand, Chemical Oxygen Demand, and Ammoniacal Nitrogen: A Case Study for Water Quality Assessment in the Perai River Basin, Malaysia S. Mohamad Faudzi et al.
- Discussion of “Open-Channel Hydrodynamic Numerical Simulation of Topographically Uncharted River Based on Observational Data-Driven Method” R. Singh
- Using a scenario-neutral approach to assess the impacts of climate change on flooding in the Ba River Basin, Viet Nam T. Tra et al.
- Generation of 1D channel networks for overland flow simulations on 2D complex domains Y. Zhang et al.
- Beyond Exact Repeat Missions: Embracing Geodetic Altimetry for Inland Water Monitoring and Modeling L. Jiang et al.
- A Systematic Hybrid Parameterization of SWAT Using SUFI-2 and PSO Algorithms for Historical Flow Simulation of the Brahmaputra River at Majuli: The World’s Largest Inhabited River Island B. Kalita et al.
- Disentangling the hydrological and hydraulic controls on streamflow variability in Energy Exascale Earth System Model (E3SM) V2 – a case study in the Pantanal region D. Xu et al.
- Near real-time altimetry for river monitoring—a global assessment of Sentinel-3 L. Jiang et al.
- Hybrid AI for estimating water levels at ungauged river locations via graph neural networks and terrain-aware edges A. Truong et al.
- Where to build altimetry-based stage-discharge rating curves? Insights from Sentinel-3 Y. Zhao & L. Jiang
- Tracking River's Pulse From Space: A Global Analysis of River Stage Fluctuations Y. Zhao et al.
- Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database Q. Liu et al.
- Data assimilation-based correction of flood forecasts in a large-scale river network: A case study of the Pearl River Basin D. Miao et al.
18 citations as recorded by crossref.
- AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al.
- Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review M. Lubczynski et al.
- Leveraging “SWOT and a-priori information (SWAP)” constrained channel parameters for improved historical river discharge estimates from space J. Xu et al.
- Convolutional neural networks-driven bias correction of satellite precipitation improves rainfall-runoff-inundation modeling O. Huong et al.
- Comparison of Multiple Indirect Approaches to Estimate Streamflow in the Osage and Severn Rivers S. Vatanchi & M. Maghrebi
- Total Maximum Daily Load Application Using Biological Oxygen Demand, Chemical Oxygen Demand, and Ammoniacal Nitrogen: A Case Study for Water Quality Assessment in the Perai River Basin, Malaysia S. Mohamad Faudzi et al.
- Discussion of “Open-Channel Hydrodynamic Numerical Simulation of Topographically Uncharted River Based on Observational Data-Driven Method” R. Singh
- Using a scenario-neutral approach to assess the impacts of climate change on flooding in the Ba River Basin, Viet Nam T. Tra et al.
- Generation of 1D channel networks for overland flow simulations on 2D complex domains Y. Zhang et al.
- Beyond Exact Repeat Missions: Embracing Geodetic Altimetry for Inland Water Monitoring and Modeling L. Jiang et al.
- A Systematic Hybrid Parameterization of SWAT Using SUFI-2 and PSO Algorithms for Historical Flow Simulation of the Brahmaputra River at Majuli: The World’s Largest Inhabited River Island B. Kalita et al.
- Disentangling the hydrological and hydraulic controls on streamflow variability in Energy Exascale Earth System Model (E3SM) V2 – a case study in the Pantanal region D. Xu et al.
- Near real-time altimetry for river monitoring—a global assessment of Sentinel-3 L. Jiang et al.
- Hybrid AI for estimating water levels at ungauged river locations via graph neural networks and terrain-aware edges A. Truong et al.
- Where to build altimetry-based stage-discharge rating curves? Insights from Sentinel-3 Y. Zhao & L. Jiang
- Tracking River's Pulse From Space: A Global Analysis of River Stage Fluctuations Y. Zhao et al.
- Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database Q. Liu et al.
- Data assimilation-based correction of flood forecasts in a large-scale river network: A case study of the Pearl River Basin D. Miao et al.
Saved (final revised paper)
Latest update: 28 Apr 2026
Short summary
River roughness and geometry are essential to hydraulic river models. However, measurements of these quantities are not available in most rivers globally. Nevertheless, simultaneous calibration of channel geometric parameters and roughness is difficult as they compensate for each other. This study introduces an alternative approach of parameterization and calibration that reduces parameter correlations by combining cross-section geometry and roughness into a conveyance parameter.
River roughness and geometry are essential to hydraulic river models. However, measurements of...
