Articles | Volume 23, issue 8
https://doi.org/10.5194/nhess-23-2769-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-2769-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Aug 2023
Research article |
| 10 Aug 2023
| 10 Aug 2023
Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations
Department of Meteorology, University of Reading, Reading, UK
Sarah L. Dance
Department of Meteorology, University of Reading, Reading, UK
Department of Mathematics and Statistics, University of Reading, Reading, UK
National Centre for Earth Observation (NCEO), Reading, UK
David C. Mason
Department of Geography and Environmental Science, University of Reading, Reading, UK
John Bevington
Jeremy Benn Associates Limited (JBA Consulting), Skipton, UK
Kay Shelton
Jeremy Benn Associates Limited (JBA Consulting), Skipton, UK
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Short summary
Ensemble forecasts of flood inundation produce maps indicating the probability of flooding. A new approach is presented to evaluate the spatial performance of an ensemble flood map forecast by comparison against remotely observed flooding extents. This is important for understanding forecast uncertainties and improving flood forecasting systems.
Ensemble forecasts of flood inundation produce maps indicating the probability of flooding. A...
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