FAMU-FSU Engineering Advances Flood Modeling Integration

Researchers propose integrating different flood modeling methods to improve predictions and support critical decisions.

Mar. 12, 2026 at 8:08am

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Scientists and engineers have developed advanced flood modeling and digital simulations to predict where storms might cause flooding, but these models have diverged into narrow applications. New research from the FAMU-FSU College of Engineering and Florida State University's Resilient Infrastructure and Disaster Response Center examined several types of flood models and proposed ways to integrate their development to improve predictions across domains and support critical decisions involving infrastructure design, emergency response, land-use planning, insurance, agriculture, water quality and public safety.

Why it matters

Refining flood modeling systems is crucial to not overextending them beyond their actual capabilities, as these systems support critical decision making and need to be accurate and reliable. Integrating different flood modeling methods can lead to improvements that better predict flooding events and protect infrastructure and communities.

The details

The research examined four main types of flood models: physics-based, data-driven, observational and experimental, and conceptual. While all models approximate and simplify the reality of floods, newer data-driven models are easier to implement but have limitations in operational forecasting, design purposes, regulatory hazard analyses and predicting events beyond their training data. The researchers suggest four key directives for future research and development: hybrid frameworks, enhanced physical representation, integration of data-based methods, and bridging science and practice.

  • The research was published in March 2026.

The players

FAMU-FSU College of Engineering

A joint engineering college between Florida A&M University and Florida State University.

Florida State University's Resilient Infrastructure and Disaster Response Center

A research center at Florida State University focused on improving infrastructure resilience and disaster response.

Ebrahim Ahmadisharaf

An assistant professor and co-author on the multi-institution study.

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What they’re saying

“As scientists and engineers pushed forward innovation in flood modeling, their work has diverged into a variety of methods, each with their own strengths and weaknesses. But integrating the improvements of various models is where we can really make the most impact across applications.”

— Ebrahim Ahmadisharaf, Assistant Professor (Mirage News)

“People use simplified methods because they are faster and easier to implement. With data-driven models, however, there is a greater risk when there are data limitations, because these models are fully dependent on the data. Computational methods understand the physics, but they take longer to run. Integrating these different models would lead to improvements for both methods.”

— Ebrahim Ahmadisharaf, Assistant Professor (Mirage News)

What’s next

The researchers suggest that future developments in flood modeling should emphasize promoting the integration of different methods, such as hybrid frameworks, enhanced physical representation, and bridging the gap between science and practice.

The takeaway

Integrating different flood modeling approaches can lead to improved predictions that better support critical decisions involving infrastructure, emergency response, land use, insurance, agriculture, and public safety, ultimately helping to protect communities from the impacts of flooding.