Continuous Data Assimilation Applied To A Velocity-Vorticity Formulation Of The 2d Navier-Stokes Equations

Matthew Gardner, Adam Larios, Leo G. Rebholz, Duygu Vargun, Camille Zerfas

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

We study a continuous data assimilation (CDA) algorithm for a velocity-vorticity formulation of the 2D Navier-Stokes equations in two cases: nudging applied to the velocity and vorticity, and nudging applied to the ve-locity only. We prove that under a typical finite element spatial discretization and backward Euler temporal discretization, application of CDA preserves the unconditional long-time stability property of the velocity-vorticity method and provides optimal long-time accuracy. These properties hold if nudging is ap-plied only to the velocity, and if nudging is also applied to the vorticity then the optimal long-time accuracy is achieved more rapidly in time. Numerical tests illustrate the theory, and show its electiveness on an application problem of channel flow past a flat plate.

Original languageEnglish
Pages (from-to)2223-2247
Number of pages25
JournalElectronic Research Archive
Volume29
Issue number3
DOIs
StatePublished - Aug 2021

Funding

2020 Mathematics Subject Classification. Primary: 65M60; Secondary: 76D05. Key words and phrases. Data assimilation, Navier-Stokes equations, velocity-vorticity scheme. The second author is supported by NSF Grants DMS 1716801 and CMMI 1953346. The third and fourth authors are supported by NSF Grant DMS 2011490.

Keywords

  • Data assimilation
  • Navier-Stokes equations
  • velocity-vorticity scheme.

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