[NABS-L] (no subject)

[Amelia Dusenbury]

Systemic Access is pleased to invite you to our December Accessible
Research Talk. Are you interested in computer science, mathematical
modeling, or the ocean? Tune in to learn more!

Date/Time/Zoom: Dec 5, 2024 06:00 PM Mountain Time (5:00PM PT/7:00PM
CT/8:00PM ET)

Title: Ocean modeling using high-order Galerkin methods

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.

 https://boisestate.zoom.us/j/96180330734

 Calendar Invite:
https://calendar.app.google/acFYE1B77DjxYTrv5

 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 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 has 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 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