Advanced data processes of some meteorological parameters

dc.contributor.authorTokgozlu A.
dc.contributor.authorAslan Z.
dc.date.accessioned2024-03-13T10:01:30Z
dc.date.available2024-03-13T10:01:30Z
dc.date.issued2005
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractThis chapter provides a case study on the application of curve fitting and harmonic analysis for some meteorological parameters in Isparta. Future projections of air temperature, pressure, rainfall, rate and wind speed data based on polynomial, final intervals and trigonometric functions have been evaluated for the study area. To define the model parameters, data observed in Isparta between 1929-2001 have been considered. Results of the harmonic analysis (Fourier series) and analysis of amplitude and phase values explain the small-, meso-, and large-scale effects on the parameters. The results of this chapter are evaluated and compared with wavelet analysis for this pilot project. This study has a key role to define the climate changing effects on meteorological parameters. © 2006 by Taylor & Francis Group, LLC. All rights reserved.en_US
dc.identifier.endpage244en_US
dc.identifier.isbn9781420026511
dc.identifier.isbn9780849337437
dc.identifier.scopus2-s2.0-85130055536en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage225en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3240
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCRC Pressen_US
dc.relation.ispartofMathematical Models and Methods for Real World Systemsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAdvanced data processes of some meteorological parametersen_US
dc.typeBook Chapteren_US

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