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
Viewed
Total article views: 5,147 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Apr 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,304 | 2,724 | 119 | 5,147 | 101 | 101 |
- HTML: 2,304
- PDF: 2,724
- XML: 119
- Total: 5,147
- BibTeX: 101
- EndNote: 101
Total article views: 4,239 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Nov 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,860 | 2,278 | 101 | 4,239 | 95 | 97 |
- HTML: 1,860
- PDF: 2,278
- XML: 101
- Total: 4,239
- BibTeX: 95
- EndNote: 97
Total article views: 908 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Apr 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
444 | 446 | 18 | 908 | 6 | 4 |
- HTML: 444
- PDF: 446
- XML: 18
- Total: 908
- BibTeX: 6
- EndNote: 4
Cited
34 citations as recorded by crossref.
- Assimilation of Synthetic SWOT River Depths in a Regional Hydrometeorological Model V. Häfliger et al. 10.3390/w11010078
- 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 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
- Sequential data assimilation for real-time probabilistic flood inundation mapping K. Jafarzadegan et al. 10.5194/hess-25-4995-2021
- Evaluation of Regional-Scale River Depth Simulations Using Various Routing Schemes within a Hydrometeorological Modeling Framework for the Preparation of the SWOT Mission V. Häfliger et al. 10.1175/JHM-D-14-0107.1
- 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 . 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
- 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
34 citations as recorded by crossref.
- Assimilation of Synthetic SWOT River Depths in a Regional Hydrometeorological Model V. Häfliger et al. 10.3390/w11010078
- 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 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
- Sequential data assimilation for real-time probabilistic flood inundation mapping K. Jafarzadegan et al. 10.5194/hess-25-4995-2021
- Evaluation of Regional-Scale River Depth Simulations Using Various Routing Schemes within a Hydrometeorological Modeling Framework for the Preparation of the SWOT Mission V. Häfliger et al. 10.1175/JHM-D-14-0107.1
- 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 . 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
- 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
Saved (final revised paper)
Saved (preprint)
Latest update: 28 Mar 2024