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.

Hurricane Sandy simulations in the New York City region using GeoClaw. Surface elevation (left) and flow speed (right) four hours before landfall. Top: historical storm and mean sea level. Bottom: hypothetical scenario with +20% wind strength and +50 cm sea-level rise.

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:

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.

Left: Changes in the return curves for Jamaica Bay NYC for the current climate (blue), projected climate in 2050 (orange), and projected climate in 2100 (red) from (Sarhadi et al., 2024). Right: Flooding risk to lower Manhattan subway lines with number of openings into the subway from (Miura et al., 2025).

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

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.

Selected Publications

References

2025

  1. Coupling Coastal and Hydrologic Models through Next Generation National Water Model Framework
    Ebrahim Hamidi, Hart Henrichsen, Abbie Sandquist, Hongyuan Zhang, Hamed Moftakhari, and 4 more authors
    Journal of Hydrologic Engineering, 2025
  2. Coastal storm-induced flooding risk of the New York City subway amid climate change
    Yuki Miura, Christine Y. Blackshaw, Michelle S. Zhang, Kyle T. Mandli, and George Deodatis
    Transportation Research Part D: Transport and Environment, 2025
  3. Impacts of barrier-island breaching on mainland flooding during storm events applied to Moriches, New York
    Catherine R. Jeffries, Robert Weiss, Jennifer L. Irish, and Kyle Mandli
    Natural Hazards and Earth System Sciences, 2025
  4. Assessment of Caribbean Coastal Hazard Posed by Tropical Cyclones
    Mona Hemmati, Chia-Ying Lee, Kyle T. Mandli, Adam H. Sobel, Suzana J. Camargo, and 1 more author
    Journal of Applied Meteorology and Climatology, 2025

2024

  1. Climate Change Contributions to Increasing Compound Flooding Risk in New York City
    Ali Sarhadi, Raphaël Rousseau-Rizzi, Kyle Mandli, Jeffrey Neal, Michael P Wiper, and 2 more authors
    Bulletin of the American Meteorological Society, 2024

2023

  1. Advances in Morphodynamic Modeling of Coastal Barriers: A Review
    Steven W.H. Hoagland, Catherine R. Jeffries, Jennifer L. Irish, Robert Weiss, Kyle Mandli, and 3 more authors
    Journal of Waterway, Port, Coastal, and Ocean Engineering, 2023

2022

  1. A Novel Framework for Parametric Analysis of Coastal Transition Zone Modeling
    Taher Chegini, Gustavo de Almeida Coelho, John Ratcliff, Celso M. Ferreira, Kyle Mandli, and 2 more authors
    JAWRA Journal of the American Water Resources Association, 2022
  2. Inter‐Model Comparison of Delft3D‐FM and 2D HEC‐RAS for Total Water Level Prediction in Coastal to Inland Transition Zones
    David F. Muñoz, Dongxiao Yin, Roham Bakhtyar, Hamed Moftakhari, Zuo Xue, and 2 more authors
    JAWRA Journal of the American Water Resources Association, 2022

2011

  1. The GeoClaw software for depth-averaged flows with adaptive refinement
    Marsha J. Berger, David L. George, Randall J. LeVeque, and Kyle T. Mandli
    Advances in Water Resources, 2011