Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19991
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dc.contributor.authorFan, YR-
dc.contributor.authorHuang, GH-
dc.contributor.authorBaetz, BW-
dc.contributor.authorLi, YP-
dc.contributor.authorHuang, K-
dc.contributor.authorChen, X-
dc.contributor.authorGao, M-
dc.date.accessioned2020-01-14T11:22:43Z-
dc.date.available2017-05-09-
dc.date.available2020-01-14T11:22:43Z-
dc.date.issued2017-07-
dc.identifier.citationJournal of Hydrology, 2017, 550 pp. 412 - 426en_US
dc.identifier.issn0022-1694-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/19991-
dc.description.sponsorshipNatural Science Foundation of China; National Key Research and Development Plan; Natural Sciences and Engineering Research Council of Canada.en_US
dc.format.extent412 - 426-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectHydrologic predictionen_US
dc.subjectData assimilationen_US
dc.subjectEnsemble Kalman filteren_US
dc.subjectParticle filteren_US
dc.subjectUncertaintyen_US
dc.titleDevelopment of integrated approaches for hydrological data assimilation through combination of ensemble Kalman filter and particle filter methodsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.jhydrol.2017.05.010-
dc.relation.isPartOfJournal of Hydrology-
pubs.publication-statusPublished-
pubs.volume550-
Appears in Collections:Dept of Mechanical Aerospace and Civil Engineering Research Papers

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