Articles | Volume 15, issue 11
https://doi.org/10.5194/hess-15-3555-2011
© Author(s) 2011. 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-15-3555-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Nov 2011
Research article |
| 23 Nov 2011
Correction of upstream flow and hydraulic state with data assimilation in the context of flood forecasting
S. Ricci
URA, CERFACS-CNRS, URA1875, Toulouse, 42, Avenue Gaspard Coriolis, 31057 Toulouse Cedex 01, France
A. Piacentini
URA, CERFACS-CNRS, URA1875, Toulouse, 42, Avenue Gaspard Coriolis, 31057 Toulouse Cedex 01, France
O. Thual
URA, CERFACS-CNRS, URA1875, Toulouse, 42, Avenue Gaspard Coriolis, 31057 Toulouse Cedex 01, France
INPT, CNRS, IMFT, Allée Camille Soula, 31400, Toulouse, France
E. Le Pape
SCHAPI, Toulouse, 42, Avenue Gaspard Coriolis, 31057 Toulouse Cedex 01, France
G. Jonville
CERFACS, Toulouse, 42, Avenue Gaspard Coriolis, 31057 Toulouse Cedex 01, France
Viewed
Total article views: 2,878 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 30 Nov 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,461 | 1,276 | 141 | 2,878 | 133 | 124 |
- HTML: 1,461
- PDF: 1,276
- XML: 141
- Total: 2,878
- BibTeX: 133
- EndNote: 124
Total article views: 2,277 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 23 Nov 2011)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,216 | 940 | 121 | 2,277 | 119 | 117 |
- HTML: 1,216
- PDF: 940
- XML: 121
- Total: 2,277
- BibTeX: 119
- EndNote: 117
Total article views: 601 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 30 Nov 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 245 | 336 | 20 | 601 | 14 | 7 |
- HTML: 245
- PDF: 336
- XML: 20
- Total: 601
- BibTeX: 14
- EndNote: 7
Cited
42 citations as recorded by crossref.
- An integrated error parameter estimation and lag-aware data assimilation scheme for real-time flood forecasting Y. Li et al. 10.1016/j.jhydrol.2014.08.009
- River discharge and bathymetry estimation from SWOT altimetry measurements K. Larnier et al. 10.1080/17415977.2020.1803858
- Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale G. Piazzi et al. 10.1029/2020WR028390
- Observation operators for assimilation of satellite observations in fluvial inundation forecasting E. Cooper et al. 10.5194/hess-23-2541-2019
- Web data mining for automatic inventory of geohazards at national scale A. Battistini et al. 10.1016/j.apgeog.2013.06.012
- Analysis of the hydrological response of a distributed physically-based model using post-assimilation (EnKF) diagnostics of streamflow and in situ soil moisture observations M. Trudel et al. 10.1016/j.jhydrol.2014.03.072
- Mapping floods from remote sensing data and quantifying the effects of surface obstruction by clouds and vegetation A. Shastry et al. 10.1016/j.rse.2023.113556
- Real-time correction of water stage forecast using combination of forecasted errors by time series models and Kalman filter method J. Shen et al. 10.1007/s00477-015-1074-9
- On the assimilation of altimetric data in 1D Saint–Venant river flow models P. Brisset et al. 10.1016/j.advwatres.2018.06.004
- Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation T. Nguyen et al. 10.1109/TGRS.2022.3147429
- On operational flood forecasting system involving 1D/2D coupled hydraulic model and data assimilation S. Barthélémy et al. 10.1016/j.jhydrol.2018.05.007
- Ensemble-based algorithm for error reduction in hydraulics in the context of flood forecasting S. Barthélémy et al. 10.1051/e3sconf/20160718022
- Estimating reach-averaged discharge for the River Severn from measurements of river water surface elevation and slope M. Durand et al. 10.1016/j.jhydrol.2013.12.050
- Real-time updating of HEC-RAS model for streamflow forecasting using an optimization algorithm V. Siqueira et al. 10.1590/2318-0331.011616086
- Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning R. Vandaele et al. 10.5194/hess-25-4435-2021
- Modular optimized data assimilation and support vector machine for hydrologic modeling M. Mehrparvar & K. Asghari 10.2166/hydro.2018.009
- Insights on the impact of systematic model errors on data assimilation performance in changing catchments S. Pathiraja et al. 10.1016/j.advwatres.2017.12.006
- Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model M. Coustau et al. 10.5194/nhess-13-583-2013
- Improving flood inundation forecasts through the assimilation of in situ floodplain water level measurements based on alternative observation network configurations A. Van Wesemael et al. 10.1016/j.advwatres.2019.05.025
- Assessing the Potential of Upcoming Satellite Altimeter Missions in Operational Flood Forecasting Systems A. Falck et al. 10.3390/rs13214459
- Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al. 10.1080/02626667.2018.1430898
- Research on water level forecasting and hydraulic parameter calibration in the 1D open channel hydrodynamic model using data assimilation L. Kong et al. 10.1016/j.jhydrol.2023.129997
- Spatiotemporal interpolation of discharge across a river network by using synthetic SWOT satellite data R. Paiva et al. 10.1002/2014WR015618
- Ensemble-based data assimilation for operational flood forecasting – On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime” river S. Barthélémy et al. 10.1016/j.jhydrol.2017.06.017
- Enhancing the capabilities of the Chao Phraya forecasting system through the integration of pre-processed numerical weather forecasts T. Charoensuk et al. 10.1016/j.ejrh.2024.101737
- Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon R. Paiva et al. 10.5194/hess-17-2929-2013
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
- Observation impact, domain length and parameter estimation in data assimilation for flood forecasting E. Cooper et al. 10.1016/j.envsoft.2018.03.013
- Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. 10.1016/j.rse.2019.111450
- A Hybrid Approach to Improve Flood Forecasting by Combining a Hydrodynamic Flow Model and Artificial Neural Networks L. Li & K. Jun 10.3390/w14091393
- An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
- A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states M. Mure-Ravaud et al. 10.1016/j.envsoft.2016.06.002
- Application of Soil Moisture Data Assimilation in Flood Forecasting of Xun River in Hanjiang River Basin J. Bai et al. 10.3390/w14244061
- Operational hydrological data assimilation with the recursive ensemble Kalman filter H. McMillan et al. 10.5194/hess-17-21-2013
- Assimilation of stream discharge for flood forecasting: Updating a semidistributed model with an integrated data assimilation scheme Y. Li et al. 10.1002/2014WR016667
- Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al. 10.1061/(ASCE)HE.1943-5584.0001656
- State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
- Utilisation du modèle hydrodynamique 1D Mascaret pour la prévision des crues E. Le Pape et al. 10.1080/27678490.2024.2313198
- Data‐based mechanistic modelling of tidally affected river reaches for flood warning purposes: an example on the River Dee, UK P. Smith et al. 10.1002/qj.1926
- Water Surface Elevation Constraints in a Data Assimilation Scheme to Infer Floodplain Topography: A Case Study in the Logone Floodplain A. Shastry & M. Durand 10.1029/2020GL088759
- Correction of pumping station parameters in a one-dimensional hydrodynamic model using the Ensemble Kalman filter X. Lei et al. 10.1016/j.jhydrol.2018.10.062
- River discharge estimation under uncertainty from synthetic SWOT-type observations using variational data assimilation H. Oubanas et al. 10.1051/lhb/2018022
42 citations as recorded by crossref.
- An integrated error parameter estimation and lag-aware data assimilation scheme for real-time flood forecasting Y. Li et al. 10.1016/j.jhydrol.2014.08.009
- River discharge and bathymetry estimation from SWOT altimetry measurements K. Larnier et al. 10.1080/17415977.2020.1803858
- Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale G. Piazzi et al. 10.1029/2020WR028390
- Observation operators for assimilation of satellite observations in fluvial inundation forecasting E. Cooper et al. 10.5194/hess-23-2541-2019
- Web data mining for automatic inventory of geohazards at national scale A. Battistini et al. 10.1016/j.apgeog.2013.06.012
- Analysis of the hydrological response of a distributed physically-based model using post-assimilation (EnKF) diagnostics of streamflow and in situ soil moisture observations M. Trudel et al. 10.1016/j.jhydrol.2014.03.072
- Mapping floods from remote sensing data and quantifying the effects of surface obstruction by clouds and vegetation A. Shastry et al. 10.1016/j.rse.2023.113556
- Real-time correction of water stage forecast using combination of forecasted errors by time series models and Kalman filter method J. Shen et al. 10.1007/s00477-015-1074-9
- On the assimilation of altimetric data in 1D Saint–Venant river flow models P. Brisset et al. 10.1016/j.advwatres.2018.06.004
- Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation T. Nguyen et al. 10.1109/TGRS.2022.3147429
- On operational flood forecasting system involving 1D/2D coupled hydraulic model and data assimilation S. Barthélémy et al. 10.1016/j.jhydrol.2018.05.007
- Ensemble-based algorithm for error reduction in hydraulics in the context of flood forecasting S. Barthélémy et al. 10.1051/e3sconf/20160718022
- Estimating reach-averaged discharge for the River Severn from measurements of river water surface elevation and slope M. Durand et al. 10.1016/j.jhydrol.2013.12.050
- Real-time updating of HEC-RAS model for streamflow forecasting using an optimization algorithm V. Siqueira et al. 10.1590/2318-0331.011616086
- Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning R. Vandaele et al. 10.5194/hess-25-4435-2021
- Modular optimized data assimilation and support vector machine for hydrologic modeling M. Mehrparvar & K. Asghari 10.2166/hydro.2018.009
- Insights on the impact of systematic model errors on data assimilation performance in changing catchments S. Pathiraja et al. 10.1016/j.advwatres.2017.12.006
- Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model M. Coustau et al. 10.5194/nhess-13-583-2013
- Improving flood inundation forecasts through the assimilation of in situ floodplain water level measurements based on alternative observation network configurations A. Van Wesemael et al. 10.1016/j.advwatres.2019.05.025
- Assessing the Potential of Upcoming Satellite Altimeter Missions in Operational Flood Forecasting Systems A. Falck et al. 10.3390/rs13214459
- Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al. 10.1080/02626667.2018.1430898
- Research on water level forecasting and hydraulic parameter calibration in the 1D open channel hydrodynamic model using data assimilation L. Kong et al. 10.1016/j.jhydrol.2023.129997
- Spatiotemporal interpolation of discharge across a river network by using synthetic SWOT satellite data R. Paiva et al. 10.1002/2014WR015618
- Ensemble-based data assimilation for operational flood forecasting – On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime” river S. Barthélémy et al. 10.1016/j.jhydrol.2017.06.017
- Enhancing the capabilities of the Chao Phraya forecasting system through the integration of pre-processed numerical weather forecasts T. Charoensuk et al. 10.1016/j.ejrh.2024.101737
- Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon R. Paiva et al. 10.5194/hess-17-2929-2013
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
- Observation impact, domain length and parameter estimation in data assimilation for flood forecasting E. Cooper et al. 10.1016/j.envsoft.2018.03.013
- Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. 10.1016/j.rse.2019.111450
- A Hybrid Approach to Improve Flood Forecasting by Combining a Hydrodynamic Flow Model and Artificial Neural Networks L. Li & K. Jun 10.3390/w14091393
- An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
- A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states M. Mure-Ravaud et al. 10.1016/j.envsoft.2016.06.002
- Application of Soil Moisture Data Assimilation in Flood Forecasting of Xun River in Hanjiang River Basin J. Bai et al. 10.3390/w14244061
- Operational hydrological data assimilation with the recursive ensemble Kalman filter H. McMillan et al. 10.5194/hess-17-21-2013
- Assimilation of stream discharge for flood forecasting: Updating a semidistributed model with an integrated data assimilation scheme Y. Li et al. 10.1002/2014WR016667
- Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al. 10.1061/(ASCE)HE.1943-5584.0001656
- State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
- Utilisation du modèle hydrodynamique 1D Mascaret pour la prévision des crues E. Le Pape et al. 10.1080/27678490.2024.2313198
- Data‐based mechanistic modelling of tidally affected river reaches for flood warning purposes: an example on the River Dee, UK P. Smith et al. 10.1002/qj.1926
- Water Surface Elevation Constraints in a Data Assimilation Scheme to Infer Floodplain Topography: A Case Study in the Logone Floodplain A. Shastry & M. Durand 10.1029/2020GL088759
- Correction of pumping station parameters in a one-dimensional hydrodynamic model using the Ensemble Kalman filter X. Lei et al. 10.1016/j.jhydrol.2018.10.062
- River discharge estimation under uncertainty from synthetic SWOT-type observations using variational data assimilation H. Oubanas et al. 10.1051/lhb/2018022
Saved (final revised paper)
Latest update: 06 Mar 2025
