The Numerical Modeling Lab (NUMO Lab) develops advanced computational methods for simulating complex geophysical systems, with a focus on ocean dynamics. We combine high-order numerical methods, adaptive mesh refinement (AMR), machine learning, and high-performance computing to resolve multiscale phenomena.
Research Highlights

High-order ocean modeling using Galerkin methods
Discontinuous Galerkin methods for accurate and flexible simulation of hydrostatic and non-hydrostatic ocean dynamics.

Machine learning for adaptive mesh refinement
Dynamic resolution of multiscale features such as eddies and fronts. Data-driven refinement strategies to improve efficiency and predictive capability.

Ice-ocean interaction modeling
High-order non-hydrostatic ocean modeling for high-resolution ice-ocean boundary
People
Meet the current NUMO Lab team members. For a full list and details please see the NUMO Lab People website.

Dr. Michal Kopera
Associate Professor, NUMO Lab Director

Olayemi Adeyemi
Computing Ph.D. student

Antone Chacartegui
NSF Graduate Fellow, Computing Ph.D. student

Hailey Stubbers
Math M.S. student
