Characterization of turbulence stability through the identification of multifractional Brownian motions
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Ki Chun | - |
dc.date.accessioned | 2022-07-16T11:17:17Z | - |
dc.date.available | 2022-07-16T11:17:17Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2013-02 | - |
dc.identifier.issn | 1023-5809 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163464 | - |
dc.description.abstract | Multifractional Brownian motions have become popular as flexible models in describing real-life signals of high-frequency features in geoscience, microeconomics, and turbulence, to name a few. The time-changing Hurst exponent, which describes regularity levels depending on time measurements, and variance, which relates to an energy level, are two parameters that characterize multifractional Brownian motions. This research suggests a combined method of estimating the time-changing Hurst exponent and variance using the local variation of sampled paths of signals. The method consists of two phases: initially estimating global variance and then accurately estimating the time-changing Hurst exponent. A simulation study shows its performance in estimation of the parameters. The proposed method is applied to characterization of atmospheric stability in which descriptive statistics from the estimated time-changing Hurst exponent and variance classify stable atmosphere flows from unstable ones. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | COPERNICUS GESELLSCHAFT MBH | - |
dc.title | Characterization of turbulence stability through the identification of multifractional Brownian motions | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Ki Chun | - |
dc.identifier.doi | 10.5194/npg-20-97-2013 | - |
dc.identifier.scopusid | 2-s2.0-84984407736 | - |
dc.identifier.wosid | 000317703800011 | - |
dc.identifier.bibliographicCitation | Nonlinear Processes in Geophysics, v.20, no.1, pp.97 - 106 | - |
dc.relation.isPartOf | Nonlinear Processes in Geophysics | - |
dc.citation.title | Nonlinear Processes in Geophysics | - |
dc.citation.volume | 20 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 97 | - |
dc.citation.endPage | 106 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Geology | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalResearchArea | Meteorology & Atmospheric Sciences | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Geosciences, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Meteorology & Atmospheric Sciences | - |
dc.relation.journalWebOfScienceCategory | Physics, Fluids & Plasmas | - |
dc.subject.keywordPlus | GENERALIZED SCALE-INVARIANCE | - |
dc.identifier.url | https://npg.copernicus.org/articles/20/97/2013/ | - |
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