Analysis of temperature series: estimation of missing data and homogeneity test

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dc.authoridGÜNGÖR, Mahmud/0000-0001-8019-1430
dc.authoridDIKBAS, Fatih/0000-0001-5779-2801
dc.authoridFIRAT, Mahmut/0000-0002-8010-9289
dc.authorwosidGÜNGÖR, Mahmud/AAB-3534-2020
dc.authorwosidDİKBAŞ, Fatih/HJP-4307-2023
dc.authorwosidKoç, Abdullah Cem/D-1451-2016
dc.authorwosidGüngör, Mahmud/AAA-8524-2021
dc.contributor.authorFirat, Mahmut
dc.contributor.authorDikbas, Fatih
dc.contributor.authorKoc, A. Cem
dc.contributor.authorGungor, Mahmud
dc.date.accessioned2024-08-04T20:36:14Z
dc.date.available2024-08-04T20:36:14Z
dc.date.issued2012
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this study, missing value analysis and homogeneity tests were applied on the 267 meteorological stations having temperature records throughout Turkey. The monthly and annual mean temperature data of stations operated by the Turkish State Meteorological Service (DMI) for the period 1968-1998 were considered. For each station, each month was analysed separately and the stations with more than 5 years missing values were eliminated. The missing values of the stations were extrapolated by the Expectation Maximization (EM) method using the data of the nearest gauging station (reference station). In consequence of the analysis, annual mean temperature data are obtained by using the monthly values. These data have to be hydrologically/statistically reliable if they are to be used in later hydrological, meteorological, climate change and estimation studies. For this reason, the Standard Normal Homogeneity Test (SNHT), the (Swed-Eisenhart) Runs Test and the Pettitt homogeneity test were applied to detect inhomogeneities in the annual mean temperature series. Each test was evaluated separately and inhomogeneous stations were determined. Copyright (C) 2011 Royal Meteorological Societyen_US
dc.description.sponsorshipTUBITAK (Turkish National Science Foundation) [107Y318]en_US
dc.description.sponsorshipThis research was supported by TUBITAK (Turkish National Science Foundation) under the project number of 107Y318. Authors greatly appreciate the cooperation of DMI (Turkish State Meteorological Service) authorities for providing data and information. The authors are grateful to the Editor and anonymous reviewers for their helpful and constructive comments on an earlier draft of this paper.en_US
dc.identifier.doi10.1002/met.271
dc.identifier.endpage406en_US
dc.identifier.issn1350-4827
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84870700696en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage397en_US
dc.identifier.urihttps://doi.org/10.1002/met.271
dc.identifier.urihttps://hdl.handle.net/11616/95878
dc.identifier.volume19en_US
dc.identifier.wosWOS:000312147800003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.relation.ispartofMeteorological Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectmonthly mean temperatureen_US
dc.subjectannual mean temperatureen_US
dc.subjectestimation of missing temperature dataen_US
dc.subjectEM methoden_US
dc.subjecthomogeneity testen_US
dc.subjectSNHTen_US
dc.titleAnalysis of temperature series: estimation of missing data and homogeneity testen_US
dc.typeArticleen_US

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