Jump point identification in hydro-meteorological time series by crossing methodology

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dc.authorid0000-0003-2754-5492
dc.contributor.authorŞen, Zekai
dc.date.accessioned2021-10-14T12:26:46Z
dc.date.available2021-10-14T12:26:46Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThe climate change impact appears as a decreasing or increasing monotonic trend in hydro-meteorology time series records due to greenhouse gas (GHG) emissions causing to global warming and climate change impacts. On the other hand, there may be abrupt changes in the form of jumps in these series due to natural and engineering activities. Although trend identification methods are rather common in the literature, jump determination conventional methodologies are rather rare and their applications present some restrictive asumptions like the serial independence and normal (Gaussian) probability distribution function (PDF). The methodology presented in this paper is away from each of such assumptions and it depicts the minimum number of upcrossing along horizontal truncation levels within the time series variation domain. The applications of the methodology are given for annual Danube River discharge records, Romania; New Jersey rainfall and temperature records, USA; monthly rainfall records and Van Lake level fluctuations, Turkey.
dc.identifier.citationŞen, Z. (2021). Jump point identification in hydro-meteorological time series by crossing methodology. Theoretical and Applied Climatology, 144(1-2), 769-777. https://dx.doi.org/10.1007/s00704-021-03576-2
dc.identifier.doi10.1007/s00704-021-03576-2
dc.identifier.endpage777
dc.identifier.issn0177-798X
dc.identifier.issn1434-4483
dc.identifier.issue45323
dc.identifier.scopusqualityQ2
dc.identifier.startpage769
dc.identifier.urihttps://dx.doi.org/10.1007/s00704-021-03576-2
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8453
dc.identifier.volume144
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Wien
dc.relation.ispartofTheoretical and Applied Climatologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectDischarge
dc.subjectJump Point
dc.subjectLake Level
dc.subjectRainfall
dc.subjectStatistical Analysis
dc.subjectTime Series
dc.subjectUpcrossing
dc.titleJump point identification in hydro-meteorological time series by crossing methodology
dc.typeArticle

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