Coastal Flooding & Storm Surge Modeling
Development of high-resolution, adaptive numerical models for storm surge and coastal flooding, with applications to urban infrastructure, compound flooding, and climate-driven risk assessment.
Adaptive numerical modeling of storm surge and coastal flooding, from algorithms and open-source software to climate-driven risk assessment in urban and coastal environments.
Jump to: Methods · Applications · Outcomes · References
Overview
Coastal flooding driven by storm surge, tides, waves, and river inflows poses increasing risks to coastal communities and critical infrastructure. This project develops numerically robust, high-resolution models for coastal flooding that integrate advanced numerical methods with real-world geophysical complexity, enabling both scientific insight and actionable risk assessment.
My work in this area spans algorithm development, open-source software, and applied modeling, with applications ranging from hurricanes and tsunamis to compound flooding in urban environments under climate change. Much of this work is implemented through open-source modeling frameworks including GeoClaw and AMRClaw, which are part of the broader Clawpack ecosystem.
Key Scientific Questions
- How can storm surge and coastal flooding be modeled accurately across widely varying spatial and temporal scales?
- How do coastal geometry, barriers, and infrastructure influence flood extent and hazard?
- How can uncertainty in storms, sea level rise, and model parameters be quantified and propagated to risk-relevant outputs?
- What numerical strategies enable high-resolution simulations at continental or city scales without prohibitive computational cost?
My Role
- Numerical methods lead for shallow-water and storm surge models
- Core developer and maintainer of adaptive mesh refinement (AMR) coastal flow software
- Principal investigator / co-investigator on multiple federally funded coastal flooding projects
- Advisor and mentor to PhD students and postdocs developing next-generation flood models
My contributions focus on bridging theory, algorithms, and software while ensuring models remain usable by interdisciplinary teams and stakeholders.
Methods & Technical Approach
This project combines several methodological threads:
- Depth-averaged and multilayer shallow water equations
for storm surge and inundation - Adaptive mesh refinement (AMR) to dynamically resolve coastlines, barriers, and urban features (e.g. (missing reference))
- Finite-volume methods designed to handle dry states, wetting/drying, and complex bathymetry (Berger et al., 2011)
- Coupling strategies for coastal–hydrologic interactions and compound flooding (Hamidi et al., 2025)
- Uncertainty quantification using surrogate models, ensembles, and probabilistic frameworks
- High-performance computing for large-scale and ensemble simulations
These methods are implemented and tested through open-source software frameworks to ensure transparency, reproducibility, and long-term sustainability.
Applications & Case Studies
Representative applications include:
- Hurricane-driven storm surge and inundation along U.S. coastlines
- Urban flood risk for critical infrastructure (e.g. New York City transportation systems; (Miura et al., 2025; Sarhadi et al., 2024))
- Barrier island breaching and morphodynamic impacts on mainland flooding (Jeffries et al., 2025; Hoagland et al., 2023)
- Compound flooding from storm surge, tides, precipitation, and river discharge (Hamidi et al., 2025; Chegini et al., 2022; Muñoz et al., 2022)
- Climate change scenarios, including sea level rise and changing storm characteristics (Sarhadi et al., 2024; Hamidi et al., 2025)
Together, these case studies emphasize the importance of resolving fine-scale coastal features while retaining regional context, particularly under nonstationary climate conditions. Many studies are developed in collaboration with climate scientists, engineers, planners, and decision-makers to ensure relevance beyond academia.
Outcomes
Scientific Contributions
- Peer-reviewed advances in AMR methods for coastal and geophysical flows
- New numerical techniques for handling barriers, dry states, and multiscale dynamics
Software
- GeoClaw – Open-source storm surge and tsunami modeling software with adaptive mesh refinement
https://github.com/clawpack/geoclaw - PyClaw – Python-based framework for solving hyperbolic PDEs and prototyping numerical methods
https://github.com/clawpack/pyclaw
Impact
- Improved understanding of coastal flood hazards under present and future climates
- Decision-relevant flood maps and risk metrics for vulnerable coastal regions
- Training of students and early-career researchers in computational geoscience
Funding & Collaboration
This work has been supported by funding from federal agencies including NSF, NOAA, DOE, and related programs, often in close collaboration with:
- Applied mathematicians and computational scientists
- Climate scientists and oceanographers
- Civil and coastal engineers
- Policy and stakeholder-facing research teams
Many projects involve multi-institutional collaborations linking academia, national labs, and operational partners.
Status
Ongoing: This project continues to evolve, with current efforts emphasizing compound flooding, climate-driven risk assessment, scalable uncertainty quantification, and tighter integration with decision-support frameworks.
Related
Selected Publications
- Optimization of coastal protection (Miura et al., 2025)
- Climate change contributions to compound flooding (Sarhadi et al., 2024)
- Coastal flood hazards due to climate change (Hemmati et al., 2025)
- Coupled coastal-hydrologic modeling (Hamidi et al., 2025)
Related Initiatives
- NASA Sea Level Change Team
- Change in coastal surge risk from extra-tropical storms (e.g. nor’easters)
- Assessing the public health risk due to tropical cyclone impacts on petrochemical facilities
References
2025
- Coupling Coastal and Hydrologic Models through Next Generation National Water Model FrameworkJournal of Hydrologic Engineering, 2025
- Assessment of Caribbean Coastal Hazard Posed by Tropical CyclonesJournal of Applied Meteorology and Climatology, 2025