Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18505
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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.authorLi, Z-
dc.contributor.authorChen, X-
dc.contributor.authorXiong, LH-
dc.date.accessioned2019-06-18T13:52:09Z-
dc.date.available2016-09-23-
dc.date.available2019-06-18T13:52:09Z-
dc.date.issued2016-
dc.identifier.citationFan, Y.R., Huang, G.H., Baetz, B.W., Li, Y.P., Huang, K., Li, Z., Chen, X. and Xiong, L.H. (2016) 'Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method', Environmental Modelling & Software, 86, pp. 30-49. doi: 10.1016/j.envsoft.2016.09.012.en_US
dc.identifier.issn1364-8152-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/18505-
dc.description.sponsorshipThis research was supported by the Natural Science Foundation of China (Nos. 51190095 and 51225904) and the Program for Innovative Research Team in University (IRT1127).en_US
dc.format.extent30 - 49-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectuncertaintyen_US
dc.subjectparticle filteren_US
dc.subjectprobabilistic collocation methoden_US
dc.subjectsensitivity analysisen_US
dc.subjectmaximal information coefficienten_US
dc.subjecthydrologic modelen_US
dc.subjectMonte Carlo simulationen_US
dc.titleParameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation methoden_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.envsoft.2016.09.012-
dc.relation.isPartOfEnvironmental Modelling & Software-
pubs.publication-statusPublished-
pubs.volume86-
dc.identifier.eissn1873-6726-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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