Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20008
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dc.contributor.authorFan, YR-
dc.contributor.authorHuang, WW-
dc.contributor.authorLi, YP-
dc.contributor.authorHuang, GH-
dc.contributor.authorHuang, K-
dc.date.accessioned2020-01-15T14:38:44Z-
dc.date.available2015-11-
dc.date.available2020-01-15T14:38:44Z-
dc.date.issued2015-
dc.identifier.citationJournal of Hydrology, 2015, 530 pp. 255 - 272en_US
dc.identifier.issn0022-1694-
dc.identifier.issnhttp://dx.doi.org/10.1016/j.jhydrol.2015.09.035-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/20008-
dc.description.sponsorshipNatural Science Foundation of China (Nos. 51190095 and 51225904) and the Program for Innovative Research Team in University (IRT1127).en_US
dc.format.extent255 - 272-
dc.languageen-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.subjectUncertaintyen_US
dc.subjectEnsemble Kalman filteren_US
dc.subjectProbabilistic collocation methoden_US
dc.subjectGaussian anamorphosisen_US
dc.subjectHydrologic modelen_US
dc.titleA coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological modelsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.jhydrol.2015.09.035-
dc.relation.isPartOfJournal of Hydrology-
pubs.publication-statusPublished-
pubs.volume530-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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