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.issued2017-05-09-
dc.identifier.citationFan, Y.R., Huang, G.H., Baetz, B.W., Li, Y.P., Huang, K., Chen, X. and Gao, M. (2017) 'Development of integrated approaches for hydrological data assimilation through combination of ensemble Kalman filter and particle filter methods', Journal of Hydrology, 550, pp. 412-426. doi: 10.1016/j.jhydrol.2017.05.010.en_US
dc.identifier.issn0022-1694-
dc.identifier.urihttps://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.format.mediumPrint-Electronic-
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.doihttps://doi.org/10.1016/j.jhydrol.2017.05.010-
dc.relation.isPartOfJournal of Hydrology-
pubs.publication-statusPublished-
pubs.volume550-
dc.identifier.eissn1879-2707-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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