Matches in UGent Biblio for { <https://biblio.ugent.be/publication/4121233#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B838173.
- aggregation creator B838174.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2013".
- aggregation format "application/pdf".
- aggregation hasFormat 4121233.bibtex.
- aggregation hasFormat 4121233.csv.
- aggregation hasFormat 4121233.dc.
- aggregation hasFormat 4121233.didl.
- aggregation hasFormat 4121233.doc.
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- aggregation hasFormat 4121233.txt.
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- aggregation hasFormat 4121233.yaml.
- aggregation isPartOf urn:issn:0043-1397.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Earth and Environmental Sciences".
- aggregation title "Improving particle filters in rainfall-runoff models: application of the resample-move step and the ensemble Gaussian particle filter".
- aggregation abstract "The objective of this paper is to analyse the improvement in the performance of the particle filter by including a resample-move step or by using a modified Gaussian particle filter. Specifically, the standard particle filter structure is altered by the inclusion of the Markov chain Monte Carlo move step. The second choice adopted in this study uses the moments of an ensemble Kalman filter analysis to define the importance density function within the Gaussian particle filter structure. Both variants of the standard particle filter are used in the assimilation of densely sampled discharge records into a conceptual rainfall-runoff model. The results indicate that the inclusion of the resample-move step in the standard particle filter and the use of an optimal importance density function in the Gaussian particle filter improve the effectiveness of particle filters. Moreover, an optimization of the forecast ensemble used in this study allowed for a better performance of the modified Gaussian particle filter compared to the particle filter with resample-move step.".
- aggregation authorList BK1213000.
- aggregation endPage "4021".
- aggregation issue "7".
- aggregation startPage "4005".
- aggregation volume "49".
- aggregation aggregates 4121234.
- aggregation isDescribedBy 4121233.
- aggregation similarTo wrcr.20291.
- aggregation similarTo LU-4121233.