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.
Research article
| 
10 Nov 2014
Research article |
| 10 Nov 2014
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
S. Ricci
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: 4,294 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Apr 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,618 | 2,575 | 101 | 4,294 | 88 | 85 |
- HTML: 1,618
- PDF: 2,575
- XML: 101
- Total: 4,294
- BibTeX: 88
- EndNote: 85
Total article views: 3,413 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Nov 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,175 | 2,155 | 83 | 3,413 | 82 | 81 |
- HTML: 1,175
- PDF: 2,155
- XML: 83
- Total: 3,413
- BibTeX: 82
- EndNote: 81
Total article views: 881 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Apr 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 443 | 420 | 18 | 881 | 6 | 4 |
- HTML: 443
- PDF: 420
- XML: 18
- Total: 881
- BibTeX: 6
- EndNote: 4
Cited
28 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
- 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
- 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
- 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
- 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
- The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
- 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
28 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
- 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
- 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
- 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
- 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
- The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
- 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: 30 Mar 2023
