Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-3245-2024
© 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/nhess-24-3245-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Sep 2024
Research article |
| 25 Sep 2024
| 25 Sep 2024
Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden
Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, 752 36 Uppsala, Sweden
Morten Andreas Dahl Larsen
Department of Technology, Management and Economics, Technical University of Denmark, 2800 Lyngby, Denmark
Danish Meteorological Office, 2100 Copenhagen, Denmark
Martin Drews
Department of Technology, Management and Economics, Technical University of Denmark, 2800 Lyngby, Denmark
Erik Nilsson
Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden
Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, 752 36 Uppsala, Sweden
Anna Rutgersson
Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden
Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, 752 36 Uppsala, Sweden
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Short summary
Both extreme river discharge and storm surges can interact at the coast and lead to flooding. However, it is difficult to predict flood levels during such compound events because they are rare and complex. Here, we focus on the quantification of uncertainties and investigate the sources of limitations while carrying out such analyses at Halmstad, Sweden. Based on a sensitivity analysis, we emphasize that both the choice of data source and statistical methodology influence the results.
Both extreme river discharge and storm surges can interact at the coast and lead to flooding....
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