Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-4995-2021
https://doi.org/10.5194/hess-25-4995-2021
Research article
 | 
16 Sep 2021
Research article |  | 16 Sep 2021

Sequential data assimilation for real-time probabilistic flood inundation mapping

Keighobad Jafarzadegan, Peyman Abbaszadeh, and Hamid Moradkhani

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Latest update: 23 Feb 2024
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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.