Articles | Volume 24, issue 11
https://doi.org/10.5194/nhess-24-4091-2024
© 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-24-4091-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Nov 2024
Research article |
| 27 Nov 2024
| 27 Nov 2024
A multivariate statistical framework for mixed storm types in compound flood analysis
Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
National Center for Integrated Coastal Research, University of Central Florida, Orlando, FL 32816, USA
Thomas Wahl
Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
National Center for Integrated Coastal Research, University of Central Florida, Orlando, FL 32816, USA
Sara Santamaria-Aguilar
Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
National Center for Integrated Coastal Research, University of Central Florida, Orlando, FL 32816, USA
Robert Jane
Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
National Center for Integrated Coastal Research, University of Central Florida, Orlando, FL 32816, USA
James F. Booth
Department of Earth and Atmospheric Sciences, City University of New York, City College, New York, NY 10031, USA
Hanbeen Kim
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA
High Meadows Environmental Institute, Princeton University, Princeton, NJ 08544, USA
Gabriele Villarini
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA
High Meadows Environmental Institute, Princeton University, Princeton, NJ 08544, USA
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Short summary
When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
When assessing the likelihood of compound flooding, most studies ignore that it can arise from...
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