Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines

Goulart, Henrique M. D.; Benito Lazaro, Irene; van Garderen, Linda; van der Wiel, Karin; Le Bars, Dewi; Koks, Elco; van den Hurk, Bart

doi:https://doi.org/10.5194/nhess-24-29-2024

Articles | Volume 24, issue 1

https://doi.org/10.5194/nhess-24-29-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Methodological innovations for the analysis and management...

https://doi.org/10.5194/nhess-24-29-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 1

Research article

|

10 Jan 2024

Research article |

| 10 Jan 2024

Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines

Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk

Data sets

General bathymetric chart of the oceans (GEBCO) 2014 Grid GEBCO https://www.gebco.net/data_and_products/gridded_bathymetry_data/#global

FABDEM V1-0 L. Hawker and J. Neal https://doi.org/10.5523/bris.25wfy0f9ukoge2gs7a5mqpq2j7

Continuously Updated Digital Elevation Model (CUDEM) - 1/9 Arc-Second Resolution Bathymetric-Topographic Tiles Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado https://doi.org/10.25921/ds9v-ky35

Model code and software

dumontgoulart/sandy_impacts_storylines: v1.0.1 - publication initial version (v1.0.1) H. M. D. Goulart https://doi.org/10.5281/zenodo.10209795

SFINCS: Super-Fast INundation of CoastS model (2.0.3 Cauberg Release Q4 2023) M van Ormondt et al. https://doi.org/10.5281/zenodo.10118583

HydroMT: Automated and reproducible model building and analysis (v0.9.1) D. Eilander et al. https://doi.org/10.5281/zenodo.10143631

Short summary

We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.