Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1789-2024
© 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/gmd-17-1789-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
29 Feb 2024
Model description paper |
| 29 Feb 2024
| 29 Feb 2024
Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding
Kees Nederhoff
CORRESPONDING AUTHOR
Deltares USA, 8601 Georgia Ave, Silver Spring, MD 20910, USA
Department of Coastal and Urban Risk & Resilience, CURR, UNESCO-IHE Institute for Water Education, P.O. BOX 3015, 2601 DA Delft, the Netherlands
Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
Maarten van Ormondt
Deltares USA, 8601 Georgia Ave, Silver Spring, MD 20910, USA
Jay Veeramony
Naval Research Lab, Stennis Space Center, MS 39529, USA
Ap van Dongeren
Department of Coastal and Urban Risk & Resilience, CURR, UNESCO-IHE Institute for Water Education, P.O. BOX 3015, 2601 DA Delft, the Netherlands
Marine and Coastal Management, Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
José Antonio Álvarez Antolínez
Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
Tim Leijnse
Marine and Coastal Management, Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV Amsterdam, the Netherlands
Dano Roelvink
Department of Coastal and Urban Risk & Resilience, CURR, UNESCO-IHE Institute for Water Education, P.O. BOX 3015, 2601 DA Delft, the Netherlands
Marine and Coastal Management, Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
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Short summary
Forecasting tropical cyclones and their flooding impact is challenging. Our research introduces the Tropical Cyclone Forecasting Framework (TC-FF), enhancing cyclone predictions despite uncertainties. TC-FF generates global wind and flood scenarios, valuable even in data-limited regions. Applied to cases like Cyclone Idai, it showcases potential in bettering disaster preparation, marking progress in handling cyclone threats.
Forecasting tropical cyclones and their flooding impact is challenging. Our research...
