Articles | Volume 25, issue 10
https://doi.org/10.5194/nhess-25-3977-2025
© Author(s) 2025. 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-25-3977-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
17 Oct 2025
Review article |
| 17 Oct 2025
| 17 Oct 2025
Review article: Rethinking preparedness for coastal compound flooding: insights from a systematic review
Dina Vanessa Gomez Rave
CORRESPONDING AUTHOR
IHCantabria-Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, 390011, Spain
Anna Scolobig
Institute for Environmental Sciences, University of Geneva, Geneva, 1211, Switzerland
Manuel del Jesus
IHCantabria-Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, 390011, Spain
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Manuel del Jesus, Diego Urrea Méndez, and Dina Vanessa Gomez Rave
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-334, https://doi.org/10.5194/hess-2024-334, 2024
Manuscript not accepted for further review
Short summary
Short summary
The research explores how multiple environmental factors, specifically compound events such as climate extremes, interact to amplify risks. By integrating statistical, mathematical, and machine learning techniques, the study aims to provide practical solutions for accurately modeling complex scenarios involving joint return periods. This approach enhances both precision and efficiency, offering a significant improvement over traditional methods for assessing environmental risks.
Diego Urrea Méndez, Manuel del Jesus, and Dina Vanessa Gomez Rave
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Revised manuscript not accepted
Short summary
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This study explores how heavy rainfall events can interact across different locations, leading to more severe flooding. By using advanced models, we improve the prediction of these complex events, which are becoming more frequent due to climate change. Our approach helps understand how rain patterns vary in time and space, offering better tools for managing water resources and reducing flood risks. This research provides a new way to assess the impact of extreme weather on vulnerable areas.
Manuel del Jesus, Diego Urrea Méndez, and Dina Vanessa Gomez Rave
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-334, https://doi.org/10.5194/hess-2024-334, 2024
Manuscript not accepted for further review
Short summary
Short summary
The research explores how multiple environmental factors, specifically compound events such as climate extremes, interact to amplify risks. By integrating statistical, mathematical, and machine learning techniques, the study aims to provide practical solutions for accurately modeling complex scenarios involving joint return periods. This approach enhances both precision and efficiency, offering a significant improvement over traditional methods for assessing environmental risks.
Diego Urrea Méndez, Manuel del Jesus, and Dina Vanessa Gomez Rave
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-335, https://doi.org/10.5194/hess-2024-335, 2024
Revised manuscript not accepted
Short summary
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This study explores how heavy rainfall events can interact across different locations, leading to more severe flooding. By using advanced models, we improve the prediction of these complex events, which are becoming more frequent due to climate change. Our approach helps understand how rain patterns vary in time and space, offering better tools for managing water resources and reducing flood risks. This research provides a new way to assess the impact of extreme weather on vulnerable areas.
Javier Diez-Sierra, Salvador Navas, and Manuel del Jesus
Geosci. Model Dev., 16, 5035–5048, https://doi.org/10.5194/gmd-16-5035-2023, https://doi.org/10.5194/gmd-16-5035-2023, 2023
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NEOPRENE is an open-source, freely available library allowing scientists and practitioners to generate synthetic time series and maps of rainfall. These outputs will help to explore plausible events that were never observed in the past but may occur in the near future and to generate possible future events under climate change conditions. The paper shows how to use the library to downscale daily precipitation and how to use synthetic generation to improve our characterization of extreme events.
Giuliano Di Baldassarre, Elena Mondino, Maria Rusca, Emanuele Del Giudice, Johanna Mård, Elena Ridolfi, Anna Scolobig, and Elena Raffetti
Nat. Hazards Earth Syst. Sci., 21, 3439–3447, https://doi.org/10.5194/nhess-21-3439-2021, https://doi.org/10.5194/nhess-21-3439-2021, 2021
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COVID-19 has affected humankind in an unprecedented way, and it has changed how people perceive multiple risks. In this paper, we compare public risk perceptions in Italy and Sweden in two different phases of the pandemic. We found that people are more worried about risks related to recently experienced events. This finding is in line with the availability heuristic: individuals assess the risk associated with a given hazard based on how easily it comes to their mind.
Elena Mondino, Anna Scolobig, Marco Borga, and Giuliano Di Baldassarre
Nat. Hazards Earth Syst. Sci., 21, 2811–2828, https://doi.org/10.5194/nhess-21-2811-2021, https://doi.org/10.5194/nhess-21-2811-2021, 2021
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Survey data collected over time can provide new insights on how different people respond to floods and can be used in models to study the complex coevolution of human–water systems. We present two methods to collect such data, and we compare the respective results. Risk awareness decreases only for women, while preparedness takes different trajectories depending on the damage suffered. These results support a more diverse representation of society in flood risk modelling and risk management.
Philippe Weyrich, Anna Scolobig, Florian Walther, and Anthony Patt
Nat. Hazards Earth Syst. Sci., 20, 2811–2821, https://doi.org/10.5194/nhess-20-2811-2020, https://doi.org/10.5194/nhess-20-2811-2020, 2020
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Short summary
Flood preparedness – how societies anticipate and act before floods – remains incomplete and reactive. This review examines preparedness in the context of compound flooding, floods induced by multiple interacting factors. The paper argues that effective preparation goes beyond risk analyses, flood maps, and infrastructures; it requires integrated planning, insights into human behaviour, and governance to enable swift and coordinated actions.
Flood preparedness – how societies anticipate and act before floods – remains incomplete and...
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