Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-4995-2021
© 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-25-4995-2021
© 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 Sep 2021
Research article |
| 16 Sep 2021
Sequential data assimilation for real-time probabilistic flood inundation mapping
Keighobad Jafarzadegan
CORRESPONDING AUTHOR
Center for Complex Hydrosystems Research, Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA
Peyman Abbaszadeh
Center for Complex Hydrosystems Research, Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA
Hamid Moradkhani
Center for Complex Hydrosystems Research, Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA
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Cited
20 citations as recorded by crossref.
- Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine E. Hamidi et al. 10.1109/TGRS.2023.3240097
- Development of a Fast and Accurate Hybrid Model for Floodplain Inundation Simulations N. Fraehr et al. 10.1029/2022WR033836
- An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation P. Deb et al. 10.1016/j.agrformet.2022.108982
- Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers K. Jafarzadegan et al. 10.5194/nhess-22-1419-2022
- Dual State‐Parameter Assimilation of SAR‐Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis T. Nguyen et al. 10.1029/2022WR033155
- Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting P. Abbaszadeh et al. 10.1016/j.isci.2022.105201
- Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul Ö. Ekmekcioğlu et al. 10.1016/j.scs.2022.103759
- Joint assimilation of satellite soil moisture and streamflow data for the hydrological application of a two-dimensional shallow water model G. García-Alén et al. 10.1016/j.jhydrol.2023.129667
- A Framework for Mechanistic Flood Inundation Forecasting at the Metropolitan Scale J. Schubert et al. 10.1029/2021WR031279
- River network and hydro-geomorphological parameters at 1∕12° resolution for global hydrological and climate studies S. Munier & B. Decharme 10.5194/essd-14-2239-2022
- LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations M. Sharifian et al. 10.5194/gmd-16-2391-2023
- SWAT_DA: Sequential Multivariate Data Assimilation‐Oriented Modification of SWAT M. Bayat et al. 10.1029/2022WR032397
- Editorial: Identifying hotspots of hydro-hazards under global change M. Pregnolato et al. 10.3389/frwa.2022.1087690
- Toward improved river boundary conditioning for simulation of extreme floods K. Jafarzadegan et al. 10.1016/j.advwatres.2021.104059
- Improving flood inundation modeling skill: interconnection between model parameters and boundary conditions N. Oruc Baci et al. 10.1007/s40808-023-01768-5
- The use of crowdsourced social media data to improve flood forecasting C. Songchon et al. 10.1016/j.jhydrol.2023.129703
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation T. Nguyen et al. 10.1109/TGRS.2022.3147429
- Comparison of data assimilation based approach for daily streamflow simulation under multiple scenarios in Ganjiang River Basin W. Weiguang et al. 10.18307/2023.0323
- Compound Effects of Flood Drivers, Sea Level Rise, and Dredging Protocols on Vessel Navigability and Wetland Inundation Dynamics D. Muñoz et al. 10.3389/fmars.2022.906376
19 citations as recorded by crossref.
- Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine E. Hamidi et al. 10.1109/TGRS.2023.3240097
- Development of a Fast and Accurate Hybrid Model for Floodplain Inundation Simulations N. Fraehr et al. 10.1029/2022WR033836
- An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation P. Deb et al. 10.1016/j.agrformet.2022.108982
- Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers K. Jafarzadegan et al. 10.5194/nhess-22-1419-2022
- Dual State‐Parameter Assimilation of SAR‐Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis T. Nguyen et al. 10.1029/2022WR033155
- Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting P. Abbaszadeh et al. 10.1016/j.isci.2022.105201
- Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul Ö. Ekmekcioğlu et al. 10.1016/j.scs.2022.103759
- Joint assimilation of satellite soil moisture and streamflow data for the hydrological application of a two-dimensional shallow water model G. García-Alén et al. 10.1016/j.jhydrol.2023.129667
- A Framework for Mechanistic Flood Inundation Forecasting at the Metropolitan Scale J. Schubert et al. 10.1029/2021WR031279
- River network and hydro-geomorphological parameters at 1∕12° resolution for global hydrological and climate studies S. Munier & B. Decharme 10.5194/essd-14-2239-2022
- LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations M. Sharifian et al. 10.5194/gmd-16-2391-2023
- SWAT_DA: Sequential Multivariate Data Assimilation‐Oriented Modification of SWAT M. Bayat et al. 10.1029/2022WR032397
- Editorial: Identifying hotspots of hydro-hazards under global change M. Pregnolato et al. 10.3389/frwa.2022.1087690
- Toward improved river boundary conditioning for simulation of extreme floods K. Jafarzadegan et al. 10.1016/j.advwatres.2021.104059
- Improving flood inundation modeling skill: interconnection between model parameters and boundary conditions N. Oruc Baci et al. 10.1007/s40808-023-01768-5
- The use of crowdsourced social media data to improve flood forecasting C. Songchon et al. 10.1016/j.jhydrol.2023.129703
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
- Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation T. Nguyen et al. 10.1109/TGRS.2022.3147429
- Comparison of data assimilation based approach for daily streamflow simulation under multiple scenarios in Ganjiang River Basin W. Weiguang et al. 10.18307/2023.0323
Latest update: 26 Sep 2023
Short summary
In this study, daily observations are assimilated into a hydrodynamic model to update the performance of modeling and improve the flood inundation mapping skill. Results demonstrate that integrating data assimilation with a hydrodynamic model improves the performance of flood simulation and provides more reliable inundation maps. A flowchart provides the overall steps for applying this framework in practice and forecasting probabilistic flood maps before the onset of upcoming floods.
In this study, daily observations are assimilated into a hydrodynamic model to update the...
