Articles | Volume 18, issue 11 
            
                
                    
            
            
            https://doi.org/10.5194/hess-18-4485-2014
                    © Author(s) 2014. This work is distributed under 
the Creative Commons Attribution 3.0 License.
                the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4485-2014
                    © Author(s) 2014. This work is distributed under 
the Creative Commons Attribution 3.0 License.
                the Creative Commons Attribution 3.0 License.
Assimilation of satellite data to optimize large-scale hydrological model parameters: a case study for the SWOT mission
V. Pedinotti
                                            CNRM/GAME, Météo-France, CNRS, URA 1357, Toulouse, France
                                        
                                    
                                            Centre National d'études spatiales (CNES), Toulouse, France
                                        
                                    A. Boone
                                            CNRM/GAME, Météo-France, CNRS, URA 1357, Toulouse, France
                                        
                                    
                                            CERFACS/URA 1875, 42 Avenue Gaspard Coriolis, 31057 Toulouse CEDEX, France
                                        
                                    S. Biancamaria
                                            CNRS, LEGOS, UMR5566 CNRS-CNES-IRD-Université Toulouse III, France
                                        
                                    N. Mognard
                                            Centre National d'études spatiales (CNES), Toulouse, France
                                        
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Cited
38 citations as recorded by crossref.
- Assimilation of Synthetic SWOT River Depths in a Regional Hydrometeorological Model V. Häfliger et al. 10.3390/w11010078
 - The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas J. Bernard et al. 10.5194/essd-17-2985-2025
 - Management of vegetative land for more water yield under future climate conditions in the over-utilized water resources regions: A case study in the Xiong’an New area L. Ye et al. 10.1016/j.jhydrol.2021.126563
 - Integrating remotely sensed surface water extent into continental scale hydrology B. Revilla-Romero et al. 10.1016/j.jhydrol.2016.10.041
 - Quantifying wavelengths constrained by simulated SWOT observations in a submesoscale resolving ocean analysis/forecasting system J. D'Addezio et al. 10.1016/j.ocemod.2019.02.001
 - Improving the representation of hydrologic processes in Earth System Models M. Clark et al. 10.1002/2015WR017096
 - Altimetry for the future: Building on 25 years of progress S. Abdalla et al. 10.1016/j.asr.2021.01.022
 - The effects of non-local observations on the adjoint estimation of local model parameters: An example of Manning’s n coefficient in a tidal model over the Bohai, Yellow, and East China Seas Z. Wei et al. 10.1016/j.jhydrol.2024.131437
 - SWOT satellite for global hydrological applications: accuracy assessment and insights into surface water dynamics J. Yao et al. 10.1080/17538947.2025.2472924
 - The SWOT Mission and Its Capabilities for Land Hydrology S. Biancamaria et al. 10.1007/s10712-015-9346-y
 - Generating Proxy SWOT Water Surface Elevations Using WRF‐Hydro and the CNES SWOT Hydrology Simulator N. Elmer et al. 10.1029/2020WR027464
 - Extending the historical in situ gauge network over Indian river reaches utilizing the Surface Water and Ocean Topography (SWOT) mission M. Soman & J. Indu 10.1080/02626667.2024.2368755
 - Sequential data assimilation for real-time probabilistic flood inundation mapping K. Jafarzadegan et al. 10.5194/hess-25-4995-2021
 - APPLICATION OF DATA ASSIMILATION FOR A GLOBAL RIVER MODEL: A VIRTUAL EXPERIMENT AT THE AMAZON BASIN D. IKESHIMA et al. 10.2208/jscejhe.73.I_175
 - High-spatial-resolution streamflow estimation at ungauged river sites or gauged sites with missing data using the National Hydrography Dataset (NHD) and U.S. Geological Survey (USGS) streamflow data D. Kim 10.1016/j.jhydrol.2018.08.074
 - On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales T. Lopez et al. 10.1007/s10712-020-09618-0
 - Applicability of SWOT data in calibrating WRF-Hydro hydrological model over the Tawa River basin K. Verma & I. J. 10.1080/10106049.2023.2185292
 - Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters C. Emery et al. 10.5194/hess-24-2207-2020
 - Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models S. Wongchuig-Correa et al. 10.1016/j.jhydrol.2020.125473
 - Hydrologic Model Parameter Estimation in Ungauged Basins Using Simulated SWOT Discharge Observations N. Elmer et al. 10.1029/2021WR029655
 - Surface Water Storage in Rivers and Wetlands Derived from Satellite Observations: A Review of Current Advances and Future Opportunities for Hydrological Sciences F. Papa & F. Frappart 10.3390/rs13204162
 - Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. 10.1016/j.rse.2019.111450
 - Estimation of the Madeira floodplain dynamics from 2008 to 2018 J. Guilhen et al. 10.3389/frwa.2022.952810
 - A pan-African medium-range ensemble flood forecast system V. Thiemig et al. 10.5194/hess-19-3365-2015
 - Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. 10.1175/JHM-D-19-0084.1
 - A review of remote sensing applications for water security: Quantity, quality, and extremes I. Chawla et al. 10.1016/j.jhydrol.2020.124826
 - Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river M. Revel et al. 10.5194/hess-27-647-2023
 - A Physically Based Empirical Localization Method for Assimilating Synthetic SWOT Observations of a Continental-Scale River: A Case Study in the Congo Basin M. Revel et al. 10.3390/w11040829
 - Watershed controls and tropical cyclone-induced changes in river hydraulic geometry in Puerto Rico Y. Li et al. 10.1016/j.ejrh.2022.101268
 - Temporal Variance-Based Sensitivity Analysis of the River-Routing Component of the Large-Scale Hydrological Model ISBA–TRIP: Application on the Amazon Basin C. Emery et al. 10.1175/JHM-D-16-0050.1
 - Developing observational methods to drive future hydrological science: Can we make a start as a community? K. Beven et al. 10.1002/hyp.13622
 - Estimation of the Manning’s n coefficient in multi-constituent tidal models by assimilating satellite observations with the adjoint data assimilation D. Wang et al. 10.3389/fmars.2023.1151951
 - A new look at Earth’s water and energy with SWOT N. Vinogradova et al. 10.1038/s44221-024-00372-w
 - The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
 - Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
 - Inroads of remote sensing into hydrologic science during the WRR era D. Lettenmaier et al. 10.1002/2015WR017616
 - Utilization of satellite altimetry retrieved river roughness properties in hydraulic flow modelling of braided river system A. Dubey et al. 10.1080/15715124.2020.1830785
 - A Framework for Estimating Global‐Scale River Discharge by Assimilating Satellite Altimetry M. Revel et al. 10.1029/2020WR027876
 
38 citations as recorded by crossref.
- Assimilation of Synthetic SWOT River Depths in a Regional Hydrometeorological Model V. Häfliger et al. 10.3390/w11010078
 - The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas J. Bernard et al. 10.5194/essd-17-2985-2025
 - Management of vegetative land for more water yield under future climate conditions in the over-utilized water resources regions: A case study in the Xiong’an New area L. Ye et al. 10.1016/j.jhydrol.2021.126563
 - Integrating remotely sensed surface water extent into continental scale hydrology B. Revilla-Romero et al. 10.1016/j.jhydrol.2016.10.041
 - Quantifying wavelengths constrained by simulated SWOT observations in a submesoscale resolving ocean analysis/forecasting system J. D'Addezio et al. 10.1016/j.ocemod.2019.02.001
 - Improving the representation of hydrologic processes in Earth System Models M. Clark et al. 10.1002/2015WR017096
 - Altimetry for the future: Building on 25 years of progress S. Abdalla et al. 10.1016/j.asr.2021.01.022
 - The effects of non-local observations on the adjoint estimation of local model parameters: An example of Manning’s n coefficient in a tidal model over the Bohai, Yellow, and East China Seas Z. Wei et al. 10.1016/j.jhydrol.2024.131437
 - SWOT satellite for global hydrological applications: accuracy assessment and insights into surface water dynamics J. Yao et al. 10.1080/17538947.2025.2472924
 - The SWOT Mission and Its Capabilities for Land Hydrology S. Biancamaria et al. 10.1007/s10712-015-9346-y
 - Generating Proxy SWOT Water Surface Elevations Using WRF‐Hydro and the CNES SWOT Hydrology Simulator N. Elmer et al. 10.1029/2020WR027464
 - Extending the historical in situ gauge network over Indian river reaches utilizing the Surface Water and Ocean Topography (SWOT) mission M. Soman & J. Indu 10.1080/02626667.2024.2368755
 - Sequential data assimilation for real-time probabilistic flood inundation mapping K. Jafarzadegan et al. 10.5194/hess-25-4995-2021
 - APPLICATION OF DATA ASSIMILATION FOR A GLOBAL RIVER MODEL: A VIRTUAL EXPERIMENT AT THE AMAZON BASIN D. IKESHIMA et al. 10.2208/jscejhe.73.I_175
 - High-spatial-resolution streamflow estimation at ungauged river sites or gauged sites with missing data using the National Hydrography Dataset (NHD) and U.S. Geological Survey (USGS) streamflow data D. Kim 10.1016/j.jhydrol.2018.08.074
 - On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales T. Lopez et al. 10.1007/s10712-020-09618-0
 - Applicability of SWOT data in calibrating WRF-Hydro hydrological model over the Tawa River basin K. Verma & I. J. 10.1080/10106049.2023.2185292
 - Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters C. Emery et al. 10.5194/hess-24-2207-2020
 - Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models S. Wongchuig-Correa et al. 10.1016/j.jhydrol.2020.125473
 - Hydrologic Model Parameter Estimation in Ungauged Basins Using Simulated SWOT Discharge Observations N. Elmer et al. 10.1029/2021WR029655
 - Surface Water Storage in Rivers and Wetlands Derived from Satellite Observations: A Review of Current Advances and Future Opportunities for Hydrological Sciences F. Papa & F. Frappart 10.3390/rs13204162
 - Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. 10.1016/j.rse.2019.111450
 - Estimation of the Madeira floodplain dynamics from 2008 to 2018 J. Guilhen et al. 10.3389/frwa.2022.952810
 - A pan-African medium-range ensemble flood forecast system V. Thiemig et al. 10.5194/hess-19-3365-2015
 - Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. 10.1175/JHM-D-19-0084.1
 - A review of remote sensing applications for water security: Quantity, quality, and extremes I. Chawla et al. 10.1016/j.jhydrol.2020.124826
 - Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river M. Revel et al. 10.5194/hess-27-647-2023
 - A Physically Based Empirical Localization Method for Assimilating Synthetic SWOT Observations of a Continental-Scale River: A Case Study in the Congo Basin M. Revel et al. 10.3390/w11040829
 - Watershed controls and tropical cyclone-induced changes in river hydraulic geometry in Puerto Rico Y. Li et al. 10.1016/j.ejrh.2022.101268
 - Temporal Variance-Based Sensitivity Analysis of the River-Routing Component of the Large-Scale Hydrological Model ISBA–TRIP: Application on the Amazon Basin C. Emery et al. 10.1175/JHM-D-16-0050.1
 - Developing observational methods to drive future hydrological science: Can we make a start as a community? K. Beven et al. 10.1002/hyp.13622
 - Estimation of the Manning’s n coefficient in multi-constituent tidal models by assimilating satellite observations with the adjoint data assimilation D. Wang et al. 10.3389/fmars.2023.1151951
 - A new look at Earth’s water and energy with SWOT N. Vinogradova et al. 10.1038/s44221-024-00372-w
 - The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
 - Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
 - Inroads of remote sensing into hydrologic science during the WRR era D. Lettenmaier et al. 10.1002/2015WR017616
 - Utilization of satellite altimetry retrieved river roughness properties in hydraulic flow modelling of braided river system A. Dubey et al. 10.1080/15715124.2020.1830785
 - A Framework for Estimating Global‐Scale River Discharge by Assimilating Satellite Altimetry M. Revel et al. 10.1029/2020WR027876
 
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