50 citations as recorded by crossref.

1. Global mapping of potential coastal compound flood risk at 0.1∘ resolution J. Zhang & M. Convertino
2. Towards a typology for hybrid compound flood modeling S. Radfar et al.
3. Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique D. Eilander et al.
4. Leveraging Coupled Hydrodynamic with Data-Driven GeoAI Models for Advancing Systemic Compound Flood Risk Evaluation in Coastal Urban Areas T. Atmaja et al.
5. Compound coastal flooding in San Francisco Bay under climate change Z. Wang et al.
6. Integrative statistical analysis of compound flood dynamics under climate variability in China’s coastal zone T. Atmaja & D. Lee
7. Assessing compound flooding potential with multivariate statistical models in a complex estuarine system under data constraints V. Santos et al.
8. Measuring compound flood potential from river discharge and storm surge extremes at the global scale A. Couasnon et al.
9. An Integrated Trivariate-Dimensional Statistical and Hydrodynamic Modeling Method for Compound Flood Hazard Assessment in a Coastal City W. Wang et al.
10. Compound Events under Global Warming: A Dependence Perspective Z. Hao & V. Singh
11. Understanding the compound flood risk along the coast of the contiguous United States D. Feng et al.
12. Projecting Climate Dependent Coastal Flood Risk With a Hybrid Statistical Dynamical Model D. Anderson et al.
13. Investigating compound flooding in a low elevation coastal karst environment using multivariate statistical and 2D hydrodynamic modeling F. Peña et al.
14. Compound flood modeling framework for surface–subsurface water interactions F. Peña et al.
15. More meteorological events that drive compound coastal flooding are projected under climate change E. Bevacqua et al.
16. Compound Minor Flooding and Relative Sea Level Rise in the Lower Winyah Bay Watershed, South Carolina, USA M. Fink et al.
17. Coastal flooding will disproportionately impact people on river deltas D. Edmonds et al.
18. Climate change impact on the compound flood risk in a coastal city K. Xu et al.
19. The role of compound climate and weather extreme events in creating socio-economic impacts in South Florida J. Ali et al.
20. Estimating the probability of compound floods in estuarine regions W. Wu et al.
21. Recent Trends in Individual and Multivariate Compound Flood Drivers in Canada's Coasts F. Jalili Pirani & M. Najafi
22. Dynamic assessment of compound flooding through a risk index approach F. Yazdandoost & N. Izanloo
23. The effect of surge on riverine flood hazard and impact in deltas globally D. Eilander et al.
24. Compound flooding in Houston-Galveston Bay during Hurricane Harvey A. Valle-Levinson et al.
25. Assessing the Potential for Compound Storm Surge and Extreme River Discharge Events at the Catchment Scale with Statistical Models: Sensitivity Analysis and Recommendations for Best Practice R. Jane et al.
26. A hybrid statistical–dynamical framework for compound coastal flooding analysis Z. Wang et al.
27. Exploring deep learning capabilities for surge predictions in coastal areas T. Tiggeloven et al.
28. Predicting Compound Coastal Flooding in Embayment-Backed Urban Catchments: Seawall and Storm Drain Implications B. Tang & T. Gallien
29. Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting P. Abbaszadeh et al.
30. Uncertainties in Riverine and Coastal Flood Impacts under Climate Change S. Wang et al.
31. Multivariate statistical modelling of the drivers of compound flood events in south Florida R. Jane et al.
32. Identifying Risk Transition Pattern of Compound Flooding Using the Copula Integrated Markov Chain X. Li et al.
33. Interacting Effects of Watershed and Coastal Processes on the Evolution of Compound Flooding During Hurricane Irene M. Deb et al.
34. Probabilistic Numerical Modeling of Compound Flooding Caused by Tropical Storm Matthew Over a Data‐Scarce Coastal Environment Y. Zhang & M. Najafi
35. Generating Boundary Conditions for Compound Flood Modeling in a Probabilistic Framework P. Maduwantha et al.
36. Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models D. Muñoz et al.
37. Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation D. Muñoz et al.
38. Flood management challenges in transitional environments: Assessing the effects of sea-level rise on compound flooding in the 21st century J. Del-Rosal-Salido et al.
39. Compound Flooding in a Subtropical Estuary Caused by Hurricane Irma 2017 B. Juárez et al.
40. Simulating hurricane-induced compound flooding via spatiotemporal analysis of satellite-derived inundation maps A. Rostami et al.
41. Copula-Based Vulnerability Analysis of Civil Infrastructure Subjected to Hurricanes Y. Li et al.
42. A Bayesian copula-based nonstationary framework for compound flood risk assessment along US coastlines K. Naseri & M. Hummel
43. Nature-based solutions as buffers against coastal compound flooding: Exploring potential framework for process-based modeling of hazard mitigation S. Radfar et al.
44. Modelling the effects of climate change on urban coastal-fluvial flooding J. Kirkpatrick & A. Olbert
45. Hindcasting compound pluvial, fluvial and coastal flooding during Hurricane Harvey (2017) using Delft3D-FM W. Lee et al.
46. Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment D. Muñoz et al.
47. A Hybrid Framework for Rapidly Locating Transition Zones: A Comparison of Event‐ and Response‐Based Return Water Levels in the Suwannee River FL R. Jane et al.
48. Compound flood hazard at Lake Como, Italy, is driven by temporal clustering of rainfall events F. Banfi & C. De Michele
49. Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al.
50. Moving from total risk to community-based risk trajectories increases transparency and equity in flood risk mitigation planning along urban rivers K. Serafin et al.