[BlindMath] BlindMath Digest, Vol 221, Issue 3

Wed Dec 4 00:06:23 UTC 2024

Here is the zoom link for the talk: https://boisestate.zoom.us/j/96180330734

Title: Ocean modeling using high-order Galerkin methods

 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.

 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.

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

*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/>*

On Tue, Dec 3, 2024 at 5:01 AM <blindmath-request at nfbnet.org> wrote:

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>    1. Reminder: Speaker to present on Thursday, December 5 at 5:00
>       PM Pacific! (Kennedy Stomberg)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 3 Dec 2024 06:51:34 -0500
> From: Kennedy Stomberg <stomberg8 at gmail.com>
> To: Blind Math list for those interested in mathematics
>         <blindmath at nfbnet.org>
> Subject: [BlindMath] Reminder: Speaker to present on Thursday,
>         December 5 at 5:00 PM Pacific!
> Message-ID: <8ED6E5FE-0EDF-4844-8D57-9913DD250EB4 at gmail.com>
> Content-Type: text/plain;       charset=us-ascii
>
>
> Kennedy Stomberg, M.S. she/her/hers
> Ph.D. Student and Graduate Assistant, Developmental Neurolinguistics Lab
> Department of Speech-Language-Hearing Sciences
> The Graduate Center | City University of New York
> 365 5th Ave. New York, NY 10016
> Hello, friends,
>
> Just a reminder that the NFBs Science and Engeneering Division's
> mentorship program, Systemic Access, is hosting a speaker on Thursday,
> December 5 at 5:00 PM Pacific. Information below!
>
>
> Title: Ocean modeling using high-order Galerkin methods
>
> 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.
>
> 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.
>
> Date/Time/Zoom: Dec 5, 2024 06:00 PM Mountain Time (5:00PM PT/7:00PM
> CT/8:00PM ET)
>
> Kennedy Stomberg, M.S. she/her/hers
> Ph.D. Student and Graduate Assistant, Developmental Neurolinguistics Lab
> Department of Speech-Language-Hearing Sciences
>
>
> 8
>
> ------------------------------
>
> Subject: Digest Footer
>
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> ------------------------------
>
> End of BlindMath Digest, Vol 221, Issue 3
> *****************************************
>