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Pan-European hydrodynamic models and their ability to identify compound floods

Author

Listed:
  • Dominik Paprotny

    (GFZ German Research Centre for Geosciences
    Delft University of Technology)

  • Michalis I. Vousdoukas

    (European Commission, Joint Research Centre (JRC))

  • Oswaldo Morales-Nápoles

    (Delft University of Technology)

  • Sebastiaan N. Jonkman

    (Delft University of Technology)

  • Luc Feyen

    (European Commission, Joint Research Centre (JRC))

Abstract

The interaction between storm surges and inland run-off has been gaining increasing attention recently, as they have the potential to result in compound floods. In Europe, several flood events of this type have been recorded in the past century in Belgium, France, Ireland, Italy and UK. First projections of compound flood hazard under climate change have been made, but no study has so far analysed whether existing, independent climate and hydrodynamic models are able to reproduce the co-occurrence of storm surges, precipitation, river discharges or waves. Here, we investigate the dependence between the different drivers in different observational and modelled data set, utilizing gauge records and high-resolution outputs of climate reanalyses and hindcasts, hydrodynamic models of European coasts and rivers. The results show considerable regional differences in strength of the dependence in surge–precipitation and surge–discharge pairs. The models reproduce those dependencies, and the time lags between the flood drivers, rather well in north-western Europe, but less successfully in the southern part. Further, we identified several compound flood events in the reanalysis data. We were able to link most of those modelled events with historical reports of flood or storm losses. However, false positives and false negatives were also present in the reanalysis and several large compound floods were missed by the reanalysis. All in all, the study still shows that accurate representation of compound floods by independent models of each driver is possible, even if not yet achievable at every location.

Suggested Citation

  • Dominik Paprotny & Michalis I. Vousdoukas & Oswaldo Morales-Nápoles & Sebastiaan N. Jonkman & Luc Feyen, 2020. "Pan-European hydrodynamic models and their ability to identify compound floods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 933-957, April.
  • Handle: RePEc:spr:nathaz:v:101:y:2020:i:3:d:10.1007_s11069-020-03902-3
    DOI: 10.1007/s11069-020-03902-3
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    References listed on IDEAS

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    1. Frahm, Gabriel & Junker, Markus & Schmidt, Rafael, 2005. "Estimating the tail-dependence coefficient: Properties and pitfalls," Insurance: Mathematics and Economics, Elsevier, vol. 37(1), pages 80-100, August.
    2. Jakob Zscheischler & Seth Westra & Bart J. J. M. Hurk & Sonia I. Seneviratne & Philip J. Ward & Andy Pitman & Amir AghaKouchak & David N. Bresch & Michael Leonard & Thomas Wahl & Xuebin Zhang, 2018. "Future climate risk from compound events," Nature Climate Change, Nature, vol. 8(6), pages 469-477, June.
    3. Thomas Wahl & Shaleen Jain & Jens Bender & Steven D. Meyers & Mark E. Luther, 2015. "Increasing risk of compound flooding from storm surge and rainfall for major US cities," Nature Climate Change, Nature, vol. 5(12), pages 1093-1097, December.
    4. Michael Leonard & Seth Westra & Aloke Phatak & Martin Lambert & Bart van den Hurk & Kathleen McInnes & James Risbey & Sandra Schuster & Doerte Jakob & Mark Stafford‐Smith, 2014. "A compound event framework for understanding extreme impacts," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 5(1), pages 113-128, January.
    5. J. Zêzere & S. Pereira & A. Tavares & C. Bateira & R. Trigo & I. Quaresma & P. Santos & M. Santos & J. Verde, 2014. "DISASTER: a GIS database on hydro-geomorphologic disasters in Portugal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 503-532, June.
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    2. Sang Ug Kim & Cheol-Eung Lee, 2021. "Incorporation of Cost-Benefit Analysis Considering Epistemic Uncertainty for Calculating the Optimal Design Flood," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 757-774, January.

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