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dc.creatorMarković, Đurica
dc.creatorIlić, Siniša
dc.creatorPavlović, Dragutin
dc.creatorPlavšić, Jasna
dc.creatorIlich, Nesa
dc.date.accessioned2019-12-05T13:21:17Z
dc.date.available2020-09-10
dc.date.issued2019
dc.identifier.issn1464-7141
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/1824
dc.description.abstractA method for generating combined multivariate time series at multiple locations and at different time scales is presented. The procedure is based on three steps: first, the Monte Carlo method generation of data with statistical properties as close as possible to the observed series; second, the rearrangement of the order of simulated data in the series to achieve target correlations; and third, the permutation of series for correlation adjustment between consecutive years. The method is non-parametric and retains, to a satisfactory degree, the properties of the observed time series at the selected simulation time scale and at coarser time scales. The new approach is tested on two case studies, where it is applied to the log-transformed streamflow and precipitation at weekly and monthly time scales. Special attention is given to the extrapolation of non-parametric cumulative frequency distributions in their tail zones. The results show a good agreement of stochastic properties between the simulated and observed data. For example, for one of the case studies, the average relative errors of the observed and simulated weekly precipitation and streamflow statistics (up to skewness coefficient) are in the range of 0.1–9.2% and 0–5.4%, respectively.en
dc.language.isoensr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceJournal of Hydroinformaticssr
dc.subjectcross-correlationsr
dc.subjecthydrologic time seriessr
dc.subjectnon-parametric methodssr
dc.subjectserial correlationsr
dc.subjectstochastic data generationsr
dc.titleMultivariate and multi-scale generator based on non-parametric stochastic algorithmsen
dc.typearticlesr
dc.rights.licenseBY-NC-NDsr
dc.rights.holderIWA Publishingsr
dc.citation.epage1117
dc.citation.issue6
dc.citation.rankM22~
dc.citation.spage1102
dc.citation.volume21
dc.description.otherThis is the submitted version of the article: Đ. Marković, S. Ilić, D. Pavlović, J. Plavšić, and N. Ilich, ‘Multivariate and multi-scale generator based on non-parametric stochastic algorithms’, Journal of Hydroinformatics, vol. 21, no. 6, pp. 1102–1117, Nov. 2019, [https://doi.org/10.2166/hydro.2019.071]
dc.identifier.doi10.2166/hydro.2019.071
dc.identifier.fulltexthttp://grafar.grf.bg.ac.rs/bitstream/id/7143/bitstream_7143.pdf
dc.identifier.scopus2-s2.0-85100222208
dc.identifier.wos000504935500010
dc.type.versionsubmittedVersionsr


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