Error analysis of proper orthogonal decomposition data assimilation schemes with grad–div estabilization for the Navier–Stokes equations
The error analysis of a proper orthogonal decomposition (POD) data assimilation (DA) scheme for the Navier–Stokes equations is carried out. A grad–div stabilization term is added to the formulation of the POD method. Error bounds with constants independent on inverse powers of the viscosity paramete...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/702978 |
| Acceso en línea: | http://hdl.handle.net/10486/702978 https://dx.doi.org/10.1016/j.cam.2022.114246 |
| Access Level: | acceso abierto |
| Palabra clave: | Data assimilation Fully discrete schemes Mixed finite elements methods Navie–Stokes equations Proper orthogonal decomposition Uniform-in-time error estimates Matemáticas |
| Sumario: | The error analysis of a proper orthogonal decomposition (POD) data assimilation (DA) scheme for the Navier–Stokes equations is carried out. A grad–div stabilization term is added to the formulation of the POD method. Error bounds with constants independent on inverse powers of the viscosity parameter are derived for the POD algorithm. No upper bounds in the nudging parameter of the data assimilation method are required. Numerical experiments show that, for large values of the nudging parameter, the proposed method rapidly converges to the real solution, and greatly improves the overall accuracy of standard POD schemes up to low viscosities over predictive time intervals |
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