Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1019-2022
© Author(s) 2022. 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-26-1019-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Feb 2022
Research article |
| 22 Feb 2022
| 22 Feb 2022
Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping
WARREDOC, University for Foreigners of Perugia, Perugia, Italy
DICEA, University of Florence, Florence, Italy
Fernando Nardi
WARREDOC, University for Foreigners of Perugia, Perugia, Italy
Institute of Water and Environment, Florida International University, Miami, USA
Fabio Castelli
DICEA, University of Florence, Florence, Italy
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Short summary
In this work, we proposed a multi-source data assimilation framework for near-real-time flood mapping. We used a quasi-2D hydraulic model to update model states by injecting both stage gauge observations and satellite-derived flood extents. Results showed improvements in terms of water level prediction and reduction of flood extent uncertainty when assimilating both stage gauges and satellite images with respect to the disjoint assimilation of both observations.
In this work, we proposed a multi-source data assimilation framework for near-real-time flood...
