dc.contributor.author | Mannseth, Trond | |
dc.date.accessioned | 2020-04-02T13:29:50Z | |
dc.date.available | 2020-04-02T13:29:50Z | |
dc.date.created | 2019-12-19T14:52:00Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Computational Geosciences. 2019, 24 (1), 349-354. | |
dc.identifier.issn | 1420-0597 | |
dc.identifier.uri | https://hdl.handle.net/11250/2650140 | |
dc.description.abstract | Assimilation of a sequence of linearly dependent data vectors, {dl}Ll=1 such that dl=BldLL−1l=1 , is considered for a parameter estimation problem. Such a data sequence can occur, for example, in the context of multilevel data assimilation. Since some information is used several times when linearly dependent data vectors are assimilated, the associated data-error covariances must be modified. I develop a condition that the modified covariances must satisfy in order to sample correctly from the posterior probability density function of the uncertain parameter in the linear-Gaussian case. It is shown that this condition is a generalization of the well-known condition that must be satisfied when assimilating the same data vector multiple times. I also briefly discuss some qualitative and computational issues related to practical use of the developed condition. | |
dc.language.iso | eng | |
dc.rights | CC BY 4.0 | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0 | |
dc.subject | Linearly dependent data vectors | |
dc.subject | Linearly dependent data vectors | |
dc.subject | Ensemble based methods | |
dc.subject | Ensemble-based methods | |
dc.subject | Generalized MDA condition | |
dc.subject | Generalized MDA condition | |
dc.title | Assimilation of multiple linearly dependent data vectors | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.1007/s10596-019-09924-6 | |
dc.identifier.cristin | 1763065 | |
dc.source.journal | Computational Geosciences | |
dc.source.volume | 24 | |
dc.source.issue | 1 | |
dc.source.pagenumber | 349-354 | |
dc.relation.project | Norges forskningsråd: 295002 | |
dc.subject.nsi | VDP::Matematikk og naturvitenskap: 400 | |
dc.subject.nsi | VDP::Mathematics and natural scienses: 400 | |