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 |
|---|---|
| Pages (from-to) | 2223-2247 |
| Number of pages | 25 |
| Journal | Electronic Research Archive |
| Volume | 29 |
| Issue number | 3 |
| DOIs | |
| State | Published - 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.