Articles | Volume 27, issue 21
https://doi.org/10.5194/hess-27-3911-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-3911-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Nov 2023
Research article |
| 06 Nov 2023
| 06 Nov 2023
Understanding the compound flood risk along the coast of the contiguous United States
Dongyu Feng
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
Donghui Xu
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
L. Ruby Leung
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
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Cited
16 citations as recorded by crossref.
- Characterizing interactive compound flood drivers in the Pearl River Estuary: A case study of Typhoon Hato (2017) Q. Lin et al. https://doi.org/10.1016/j.jhydrol.2024.132270
- Spatially seamless and temporally continuous assessment on compound flood risk in Hong Kong J. You et al. https://doi.org/10.1016/j.jhydrol.2024.132217
- Simulating hurricane-induced compound flooding via spatiotemporal analysis of satellite-derived inundation maps A. Rostami et al. https://doi.org/10.1016/j.rsase.2025.101771
- Formulating a warning threshold for coastal compound flooding: A copula-based approach M. Lin et al. https://doi.org/10.1016/j.ecolind.2024.111994
- Leveraging Coupled Hydrodynamic with Data-Driven GeoAI Models for Advancing Systemic Compound Flood Risk Evaluation in Coastal Urban Areas T. Atmaja et al. https://doi.org/10.1007/s11831-025-10394-6
- Quantifying the Effects of National Water Model Freshwater Flux Predictions on Estuarine Hydrodynamic Forecasts N. Chin et al. https://doi.org/10.1111/1752-1688.70033
- Compound flooding risks in coastal cities: a review of causes, mechanisms, and assessment methodologies E. Jahani et al. https://doi.org/10.1007/s11069-026-08183-w
- Thresholds for estuarine compound flooding using a combined hydrodynamic–statistical modelling approach C. Lyddon et al. https://doi.org/10.5194/nhess-24-973-2024
- Assessing the spatial correlation of potential compound flooding in the United States H. Li et al. https://doi.org/10.5194/nhess-26-391-2026
- Wind impact on sea level variability along the US Atlantic and Gulf coasts: implications to coastal flooding hazard D. Kataraihya & S. Wdowinski https://doi.org/10.1007/s11069-026-08041-9
- Multivariate compound events drive historical floods and associated losses along the U.S. East and Gulf coasts J. Ali et al. https://doi.org/10.1038/s44304-025-00076-5
- Projecting compound flood hazards induced by tropical cyclones in Southeast China using MRI-AGCM3-2-S climate model Q. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134619
- Disentangling atmospheric, hydrological, and coupling uncertainties in compound flood modeling within a coupled Earth system model D. Feng et al. https://doi.org/10.5194/nhess-25-3619-2025
- An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics Z. Tan et al. https://doi.org/10.5194/hess-29-3833-2025
- Establishing closure criteria for coastal roadways under flooding conditions F. Maghsoodifar et al. https://doi.org/10.1016/j.ijdrr.2025.105805
- A Copula-XAI framework for assessing compound typhoon disaster-chain risks and driving mechanisms in coastal mountainous cities: Evidence from Fujian, China X. Yang et al. https://doi.org/10.1016/j.ejrh.2026.103284
16 citations as recorded by crossref.
- Characterizing interactive compound flood drivers in the Pearl River Estuary: A case study of Typhoon Hato (2017) Q. Lin et al. https://doi.org/10.1016/j.jhydrol.2024.132270
- Spatially seamless and temporally continuous assessment on compound flood risk in Hong Kong J. You et al. https://doi.org/10.1016/j.jhydrol.2024.132217
- Simulating hurricane-induced compound flooding via spatiotemporal analysis of satellite-derived inundation maps A. Rostami et al. https://doi.org/10.1016/j.rsase.2025.101771
- Formulating a warning threshold for coastal compound flooding: A copula-based approach M. Lin et al. https://doi.org/10.1016/j.ecolind.2024.111994
- Leveraging Coupled Hydrodynamic with Data-Driven GeoAI Models for Advancing Systemic Compound Flood Risk Evaluation in Coastal Urban Areas T. Atmaja et al. https://doi.org/10.1007/s11831-025-10394-6
- Quantifying the Effects of National Water Model Freshwater Flux Predictions on Estuarine Hydrodynamic Forecasts N. Chin et al. https://doi.org/10.1111/1752-1688.70033
- Compound flooding risks in coastal cities: a review of causes, mechanisms, and assessment methodologies E. Jahani et al. https://doi.org/10.1007/s11069-026-08183-w
- Thresholds for estuarine compound flooding using a combined hydrodynamic–statistical modelling approach C. Lyddon et al. https://doi.org/10.5194/nhess-24-973-2024
- Assessing the spatial correlation of potential compound flooding in the United States H. Li et al. https://doi.org/10.5194/nhess-26-391-2026
- Wind impact on sea level variability along the US Atlantic and Gulf coasts: implications to coastal flooding hazard D. Kataraihya & S. Wdowinski https://doi.org/10.1007/s11069-026-08041-9
- Multivariate compound events drive historical floods and associated losses along the U.S. East and Gulf coasts J. Ali et al. https://doi.org/10.1038/s44304-025-00076-5
- Projecting compound flood hazards induced by tropical cyclones in Southeast China using MRI-AGCM3-2-S climate model Q. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134619
- Disentangling atmospheric, hydrological, and coupling uncertainties in compound flood modeling within a coupled Earth system model D. Feng et al. https://doi.org/10.5194/nhess-25-3619-2025
- An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics Z. Tan et al. https://doi.org/10.5194/hess-29-3833-2025
- Establishing closure criteria for coastal roadways under flooding conditions F. Maghsoodifar et al. https://doi.org/10.1016/j.ijdrr.2025.105805
- A Copula-XAI framework for assessing compound typhoon disaster-chain risks and driving mechanisms in coastal mountainous cities: Evidence from Fujian, China X. Yang et al. https://doi.org/10.1016/j.ejrh.2026.103284
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
This study assesses the flood risks concurrently induced by river flooding and coastal storm surge along the coast of the contiguous United States using statistical and numerical models. We reveal a few hotspots of such risks, the critical spatial variabilities within a river basin and over the whole US coast, and the uncertainties of the risk assessment. We highlight the importance of weighing different risk measures to avoid underestimating or exaggerating the compound flood impacts.
This study assesses the flood risks concurrently induced by river flooding and coastal storm...
