[BlindMath] Final Reminder: Accessible Research Presentation | Ocean modeling using high-order Galerkin methods

[Amelia Palmer]

Final Reminder: Accessible Research Presentation | Ocean modeling using
high-order Galerkin methods

Today 5 December 6:00 PM Mountain Time

Zoom Link https://boisestate.zoom.us/j/96180330734
<https://www.google.com/url?q=https://boisestate.zoom.us/j/96180330734&sa=D&source=calendar&usd=2&usg=AOvVaw1nRTFEhuhLqglJWyLq_unl>

Google Calendar link: https://calendar.app.google/acFYE1B77DjxYTrv5

Speaker and Bio: Michal Kopera, Ph.D.
Michal has earned a Ph.D. In Engineering (Scientific Computing) from the
University of Warwick, UK in 2011. He then moved to the Naval Postgraduate
School in Monterey, CA as a National Research Council Postgraduate Fellow.
He also held a Visiting Fellow position at the Isaac Newton Institute for
Mathematical Sciences in Cambridge, UK, and was an Assistant Researcher at
the University of California, Santa Cruz.
Michal is interested in computational and applied mathematics, specifically
numerical methods for ocean modeling, high performance scientific
computing, computational fluid dynamics, adaptive mesh refinement, and
scientific software development.

Abstract: Oceans cover more than two-thirds of the surface or Earth, and as
such are the primary control of our planet's climate. Understanding the
dynamical behavior of the ocean is therefore paramount for both
understanding the long-term consequences of climate change, as well as
short term weather predictions, among other things. The complex nature of
the fluid motion makes it impossible to analytically solve the partial
differential equations describing the conservation of mass, momentum and
energy of water moving on the surface of a rotating sphere, and affected by
the complex boundaries of ocean basins, as well as rugged ocean bottom. We
can, however, approximate the dynamics of the ocean using numerical methods
and computer simulation.
The current generation of ocean models uses a mixture of low-order finite
volume and finite difference methods to approximate the partial
differential equations governing the fluid motion. Those methods have been
developed over the past half-century, and with the advent of modern
computing platforms are approaching a limit of usability due to limited
parallel performance. In this talk, I will provide an overview of the
benefits and costs of using high-order Galerkin methods for ocean modeling
compared with traditional methods. I will also go over the modeling
assumptions we make in the formulation of the governing equations for the
ocean, and fundamental forces which affect the motion of fluid on the
surface of the Earth.

*Amelia Palmer Dusenbury*
*Special Project Graduate Teaching Assistant **Accessibility of Math
Learning Center Courses*
Department of Mathematics Boise State University
*Vice President of Idaho Educational Services for the Deaf and the Blind
Foundation <https://www.iesdbfoundation.com/>*