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 language | English |
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Pages (from-to) | 2223-2247 |
Number of pages | 25 |
Journal | Electronic Research Archive |
Volume | 29 |
Issue number | 3 |
DOIs | |
State | Published - Aug 2021 |
Externally published | Yes |
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.
Funders | Funder number |
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National Science Foundation | DMS 2011490, CMMI 1953346, DMS 1716801 |
Directorate for Mathematical and Physical Sciences | 1716801 |
Keywords
- Data assimilation
- Navier-Stokes equations
- velocity-vorticity scheme.