Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18516
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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.date.accessioned2019-06-19T13:01:36Z-
dc.date.available2017-06-
dc.date.available2019-06-19T13:01:36Z-
dc.date.issued2017-06-15-
dc.identifier.citationWater Resources Research, 2017, 53 (6), pp. 4850 - 4875en_US
dc.identifier.issn0043-1397-
dc.identifier.issnhttp://dx.doi.org/10.1002/2016WR020144-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/18516-
dc.description.sponsorshipNational Natural Science Foundation of China, the National Key Research and Development Plan, and the Natural Sciences and Engineering Research Council of Canadaen_US
dc.format.extent4850 - 4875-
dc.language.isoenen_US
dc.publisherAmerican Geophysical Unionen_US
dc.subjectdata assimilationen_US
dc.subjectcopulaen_US
dc.subjectparameter interdependenceen_US
dc.subjecthydrological predictionen_US
dc.subjectuncertaintyen_US
dc.titleDevelopment of a copula-based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependenceen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1002/2016WR020144-
dc.relation.isPartOfWater Resources Research-
pubs.issue6-
pubs.publication-statusPublished-
pubs.volume53-
Appears in Collections:Dept of Mechanical Aerospace and Civil Engineering Research Papers

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