Presenters-0428

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CSDMS3.0 - Bridging Boundaries

Machine Learning and Coastal Morphodynamics

Evan Goldstein
University of North Carolina at Greensboro, United States
ebgoldstein@gmail.com

Abstract
Numerical modeling is at the core of prediction in coastal settings. Observational data is used in tandem with models for a variety of modeling tasks, but the perhaps the coupling could be tighter? I will discuss a range of Machine Learning tools that co-workers and I have integrated with coastal morphodynamic models that allow for a tight coupling of models and data, and provide morphodynamic insight.

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Of interest for:

Coastal Working Group

Artificial Intelligence & Machine Learning Initiative