The 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 NUMO Lab team members
Dr. Michal Kopera
Associate Professor, NUMO Lab Director
Antone Chacartegui
NSF Graduate Fellow, Computing Ph.D. student
Olayemi Adeyemi
Computing Ph.D. student
See all lab members and alumni here.