Usage of multivariate geostatistics in interpolation processes for meteorological precipitation maps

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dc.contributor.authorGundogdu, Ismail Bulent
dc.date.accessioned2020-03-26T19:43:22Z
dc.date.available2020-03-26T19:43:22Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractLong-term meteorological data are very important both for the evaluation of meteorological events and for the analysis of their effects on the environment. Prediction maps which are constructed by different interpolation techniques often provide explanatory information. Conventional techniques, such as surface spline fitting, global and local polynomial models, and inverse distance weighting may not be adequate. Multivariate geostatistical methods can be more significant, especially when studying secondary variables, because secondary variables might directly affect the precision of prediction. In this study, the mean annual and mean monthly precipitations from 1984 to 2014 for 268 meteorological stations in Turkey have been used to construct country-wide maps. Besides linear regression, the inverse square distance and ordinary co-Kriging (OCK) have been used and compared to each other. Also elevation, slope, and aspect data for each station have been taken into account as secondary variables, whose use has reduced errors by up to a factor of three. OCK gave the smallest errors (1.002 cm) when aspect was included.en_US
dc.identifier.doi10.1007/s00704-015-1619-3en_US
dc.identifier.endpage86en_US
dc.identifier.issn0177-798Xen_US
dc.identifier.issn1434-4483en_US
dc.identifier.issue01.02.2020en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage81en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00704-015-1619-3
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35663
dc.identifier.volume127en_US
dc.identifier.wosWOS:000392066200006en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER WIENen_US
dc.relation.ispartofTHEORETICAL AND APPLIED CLIMATOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleUsage of multivariate geostatistics in interpolation processes for meteorological precipitation mapsen_US
dc.typeArticleen_US

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