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Downscaling data assimilation algorithm with applications to statistical solutions of the Navier-Stokes equations

Authors :
Biswas, Animikh
Foias, Ciprian
Mondaini, Cecilia F.
Titi, Edriss S.
Source :
Annales de l Institut Henri Poincaré C Analyse Non Linéaire, vol 36, iss 2, Biswas, A; Foias, C; Mondaini, CF; & Titi, ES. (2018). Downscaling data assimilation algorithm with applications to statistical solutions of the Navier-Stokes equations. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/14f3w57g, Annales de l'Institut Henri Poincaré C, Analyse non linéaire, vol 36, iss 2
Publication Year :
2017
Publisher :
arXiv, 2017.

Abstract

Based on a previously introduced downscaling data assimilation algorithm, which employs a nudging term to synchronize the coarse mesh spatial scales, we construct a determining map for recovering the full trajectories from their corresponding coarse mesh spatial trajectories, and investigate its properties. This map is then used to develop a downscaling data assimilation scheme for statistical solutions of the two-dimensional Navier-Stokes equations, where the coarse mesh spatial statistics of the system is obtained from discrete spatial measurements. As a corollary, we deduce that statistical solutions for the Navier-Stokes equations are determined by their coarse mesh spatial distributions. Notably, we present our results in the context of the Navier-Stokes equations; however, the tools are general enough to be implemented for other dissipative evolution equations.

Details

Database :
OpenAIRE
Journal :
Annales de l Institut Henri Poincaré C Analyse Non Linéaire, vol 36, iss 2, Biswas, A; Foias, C; Mondaini, CF; & Titi, ES. (2018). Downscaling data assimilation algorithm with applications to statistical solutions of the Navier-Stokes equations. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/14f3w57g, Annales de l'Institut Henri Poincaré C, Analyse non linéaire, vol 36, iss 2
Accession number :
edsair.doi.dedup.....9a97cb8d6ed944c3006da11ca2549fff
Full Text :
https://doi.org/10.48550/arxiv.1711.04067