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Deterministic chaos versus stochasticity in analysis and modeling of point rainfall series

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dc.contributor.author Koutsoyiannis, D en
dc.contributor.author Pachakis, D en
dc.date.accessioned 2014-03-01T01:11:53Z
dc.date.available 2014-03-01T01:11:53Z
dc.date.issued 1996 en
dc.identifier.issn 0148-0227 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/11842
dc.subject Chaotic Behavior en
dc.subject Correlation Dimension en
dc.subject Deterministic Chaos en
dc.subject Nonlinear Analysis en
dc.subject Seasonality en
dc.subject Stochastic Model en
dc.subject Synthetic Data en
dc.subject Time Delay en
dc.subject Time Series en
dc.subject Dry Period en
dc.subject.classification Meteorology & Atmospheric Sciences en
dc.subject.other chaos en
dc.subject.other rainfall data en
dc.subject.other rainfall model en
dc.subject.other stochastic model en
dc.subject.other synthetic data en
dc.title Deterministic chaos versus stochasticity in analysis and modeling of point rainfall series en
heal.type journalArticle en
heal.identifier.primary 10.1029/96JD01389 en
heal.identifier.secondary http://dx.doi.org/10.1029/96JD01389 en
heal.language English en
heal.publicationDate 1996 en
heal.abstract The differences between historic rainfall data and synthetic data obtained by a stochastic rainfall model are investigated using nonlinear analysis tools devised for description and characterization of chaotic behavior. To achieve this goal, a 6-year point rainfall record with a time resolution of one quarter of hour is studied. A stochastic model capable of preserving important properties of the rainfall process, such as intermittency, seasonality and scaling behavior, is fitted to this data set and a synthetic time series of equal length is generated. For both data sets the correlation dimension is calculated for various embedding dimensions by the time delay embedding method. However, the applicability of this method in estimating dimensions proves limited due to the domination of voids (dry periods) in a rainfall record at a fine time resolution. Thus, in addition to time delay embedding, a Cantorian dust analogue method is developed and used to estimate dimensions. Results of both methods show that there is no substantial difference in behavior between the synthetic and the historic records. Moreover, no evidence of low-dimensional determinism is detected in the sets examined. en
heal.publisher AMER GEOPHYSICAL UNION en
heal.journalName Journal of Geophysical Research D: Atmospheres en
dc.identifier.doi 10.1029/96JD01389 en
dc.identifier.isi ISI:A1996VW42100024 en
dc.identifier.volume 101 en
dc.identifier.issue 21 en
dc.identifier.spage 26441 en
dc.identifier.epage 26451 en


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