Coastal Modeling

Coastal Modeling Group

About us

We are coastal modeling group at Texas A&M University (Galveston Campus). We use advanced numerical models and high-performance supercomputers to study marine science problems that are worsened under changing climate, natural disturbance, and human activities.

Why numerical modeling?

To better understand what is happening in the aquatic water, numerical models provide a synoptic view of the physical processes, not just at one place or a depth. Numerical models are powerful tools to integrate in-situ measurements and remote sensing data in a mathematics-based 3-dimensional world. It is also the only way we can predict future conditions and do large-scale experiments of our planet.

Gulf of Mexico model

GoM-SCHISM

Based onSCHISM, we configure, calibrate, and validate a hydrodynamic model for the northwestern Gulf of Mexico. The model robustly represents highly complex bathymetric and geographic features with flexible horizontal and vertical grids. The model has served as a solid platform for multiple inter-disciplinary research on transport of pollutants, impact of extreme weather events, and coastal resilience.

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Gulf of Mexico model

Tidal Response to Sea Level Rise

Tidal response to sea-level rise (SLR) varies in different coastal systems. With a set of idealized models, we demonstrate a non-linear tidal response to SLR depending on the length, bathymetry, and geometry (converging or not) of an estuary.

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Gulf of Mexico model

Hydrodynamic and Sedimentary Response to Hurricane Harvey

Hurricane Harvey (Category 5) made several landings along the Gulf Coast, bringing unprecedented rainfall at Houston metropolitan area. Combining observational data and numerical tool, this study quantifies the total amount of freshwater input (almost impossible to measure directly) and shows how an extreme weather event could drastically disturb the water quality and sedimentary processes.

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Gulf of Mexico model

Compound Flooding

Compound floodings are caused by multiple factors including tide, freshwater input, and wind-induced surge. Using a creek-to-ocean cross-scale model with a single grid (without nesting), this study examines the impact of ocean, river and precipitation on the flooding during Hurricane Harvey (2017).

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