Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5291-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5291-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
10 Jul 2024
Model description paper |
| 10 Jul 2024
| 10 Jul 2024
Fluvial flood inundation and socio-economic impact model based on open data
Institute for Environmental Decisions, ETH Zürich, Zurich, Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich Airport, Switzerland
Thomas Röösli
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich Airport, Switzerland
Thomas Vogt
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
David N. Bresch
Institute for Environmental Decisions, ETH Zürich, Zurich, Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich Airport, Switzerland
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Short summary
River floods are among the most devastating natural hazards. We propose a flood model with a statistical approach based on openly available data. The model is integrated in a framework for estimating impacts of physical hazards. Although the model only agrees moderately with satellite-detected flood extents, we show that it can be used for forecasting the magnitude of flood events in terms of socio-economic impacts and for comparing these with past events.
River floods are among the most devastating natural hazards. We propose a flood model with a...
