Downscaling data assimilation algorithm with applications to statistical solutions of the Navier–Stokes equations
| dc.contributor.author | Biswas, Animikh | |
| dc.contributor.author | Foias, Ciprian | |
| dc.contributor.author | Mondaini, Cecilia F. | |
| dc.contributor.author | Titi, Edriss S. | |
| dc.date.accessioned | 2024-11-14T15:18:23Z | |
| dc.date.available | 2024-11-14T15:18:23Z | |
| dc.date.issued | 2018-06-06 | |
| dc.description.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. | |
| dc.description.sponsorship | The authors would like to thank Prof. Ricardo Rosa for stimulating and helpful discussions. The work of A.B. was supported in part by the NSF grant DMS 1517027, that of C.F. was supported in part by the NSF grant DMS 1516866 and the ONR grant N00014-15-1-2333. The work of C.F.M. and E.S.T. was partially supported by the ONR grant N00014-15-1-2333. | |
| dc.description.uri | https://www.sciencedirect.com/science/article/pii/S0294144918300684 | |
| dc.format.extent | 54 pages | |
| dc.genre | journal articles | |
| dc.genre | preprints | |
| dc.identifier | doi:10.13016/m2mdzb-0b1i | |
| dc.identifier.citation | Biswas, Animikh, Ciprian Foias, Cecilia F. Mondaini, and Edriss S. Titi. “Downscaling Data Assimilation Algorithm with Applications to Statistical Solutions of the Navier–Stokes Equations.” Annales de l’Institut Henri Poincaré C, Analyse Non Linéaire 36, no. 2 (March 1, 2019): 295–326. https://doi.org/10.1016/j.anihpc.2018.05.004. | |
| dc.identifier.uri | https://doi.org/10.1016/j.anihpc.2018.05.004 | |
| dc.identifier.uri | http://hdl.handle.net/11603/36913 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Mathematics and Statistics Department | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.subject | Data assimilation | |
| dc.subject | Determining form | |
| dc.subject | Downscaling | |
| dc.subject | Navier–Stokes equations | |
| dc.subject | Nudging | |
| dc.subject | Vishik–Fursikov statistical solutions | |
| dc.title | Downscaling data assimilation algorithm with applications to statistical solutions of the Navier–Stokes equations | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0001-8594-0568 |
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