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Modeling the Morphodynamics of Coastal Responses to Extreme Events: What Shape Are We In?
Christopher R Sherwood1, Ap van Dongeren2,3, James Doyle4
1Woods Hole Coastal and Marine Science Center, US Geological Survey, Woods Hole, Massachusetts 02543, USA;
Recent advances in numerical models simulate extreme storm impacts on sandy coasts. These models now incorporate more processes and detailed physics for improved coastal morphodynamic predictions.
Area of Science:
- Coastal geomorphology
- Numerical modeling
- Extreme weather events
Background:
- Sandy coasts are vulnerable to extreme storms.
- Accurate prediction of storm impacts is crucial for coastal management.
- Process-based numerical models are key tools for understanding these impacts.
Purpose of the Study:
- To review recent advancements in process-based numerical models for simulating extreme storm impacts on sandy coasts.
- To highlight key developments in model complexity and physical process representation.
- To discuss improvements in data assimilation and forcing data.
Main Methods:
- Review of current literature on numerical models for coastal morphodynamics.
- Analysis of model advancements, including added processes and improved physics.
- Examination of enhanced forcing data (meteorology, hydrodynamics) and initial condition observations.
- Discussion of algorithms for wave-induced flows and sediment transport.
Main Results:
- Models are becoming more comprehensive by incorporating a wider range of processes.
- Increased model depth is achieved through detailed physics replacing parameterizations.
- Recent developments include improved algorithms for wave-induced flows and sediment transport.
- Community and open-source models are now standard, fostering collaboration and accessibility.
Conclusions:
- Enhanced model skill is attributed to better-resolved and more accurate forcing data.
- Future models are expected to resolve individual waves and utilize data assimilation.
- Ensemble modeling will be increasingly employed to predict uncertainties in storm impacts.
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