Parlitz, Ulrich

[["dc.bibliographiccitation.firstpage","305"],["dc.bibliographiccitation.issue","711"],["dc.bibliographiccitation.journal","Quarterly Journal of the Royal Meteorological Society"],["dc.bibliographiccitation.lastpage","316"],["dc.bibliographiccitation.volume","144"],["dc.contributor.author","Pinheiro, Flavia R."],["dc.contributor.author","van Leeuwen, Peter Jan"],["dc.contributor.author","Parlitz, Ulrich"],["dc.date.accessioned","2019-07-09T11:45:24Z"],["dc.date.available","2019-07-09T11:45:24Z"],["dc.date.issued","2018"],["dc.description.abstract","Synchronization based state estimation tries to synchronize a model with the true evolution of a system via the observations. In practice, an extra term is added to the model equations which hampers growth of instabilities transversal to the synchronization manifold. Therefore, there is a very close connection between synchronization and data assimilation. Recently, synchronization with time-delayed observations has been proposed, in which observations at future times are used to help synchronize a system that does not synchronize using only present observations, with remarkable successes. Unfortunately, these schemes are limited to small-dimensional problems. In this article, we lift that restriction by proposing an ensemble-based synchronization scheme. Tests were performed using the Lorenz’96 model for 20-, 100- and 1000-dimension systems. Results show global synchronization errors stabilizing at values of at least an order of magnitude lower than the observation errors, suggesting that the scheme is a promising tool to steer model states to the truth. While this framework is not a complete data assimilation method, we develop this methodology as a potential choice for a proposal density in a more comprehensive data assimilation method, like a fully nonlinear particle filter."],["dc.identifier.doi","10.1002/qj.3204"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15193"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59222"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","info:eu-repo/grantAgreement/EC/H2020/694509/EU//CUNDA"],["dc.relation.issn","0035-9009"],["dc.relation.orgunit","Fakultät für Physik"],["dc.subject.ddc","530"],["dc.title","An ensemble framework for time delay synchronization"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]