Spatio-temporal modeling of global solar radiation dynamics as a function of sunshine duration for Turkey

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dc.authoridEvrendilek, Fatih/0000-0003-1099-4363
dc.contributor.authorErtekin, Can
dc.contributor.authorEvrendilek, Fatih
dc.date.accessioned2024-09-18T20:25:24Z
dc.date.available2024-09-18T20:25:24Z
dc.date.issued2007
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractA total of 18 empirical models in linear, quadratic, cubic, logarithmic, exponential and hybrid forms using only sunshine hours, latitude, and altitude were compared to estimate monthly average daily global solar radiation on a horizontal surface for 159 weather stations in Turkey. Gopinathan [Gopinathan, K.K., 1988a. A simple method for predicting global solar radiation on a horizontal surface. Sol. Wind Technol. 5, 581-583] and Jin [Jin, Z., Yezheng, W, Gang, Y., 2005. General formula for estimation of monthly average daily global solar radiation in China. Energ. Convers. Manage. 46, 257-268] models provided the most robust performance based on the error statistics of the coefficient of determination (R-adj(2)), the mean percentage error (MPE), the mean bias error (MBE), and the root mean square error (RMSE). A comparison of observed and predicted monthly average daily global solar radiation for a total of 35 sites equally distributed across the seven major climate zones of Turkey resulted in the highest R 2 values of 95.1-94.9%, based on Gopinathan [Gopinathan, K.K., 1988a. A simple method for predicting global solar radiation on a horizontal surface. Sol. Wind Technol. 5, 581-583] and Jin et al. [Jin, Z., Yezheng, W., Gang, Y, 2005. General formula for estimation of monthly average daily global solar radiation in China. Energ. Convers. Manage. 46, 257-268] models, respectively. Spatial variability in mean annual global solar radiation observed was mapped on a 500 m x 500 m grid using universal kriging with the first order trend removal. Cross-validation statistics indicated that universal kriging was sufficiently reliable in prediction of spatial variability in global radiation across the country, particularly, in areas with a lack of global solar radiation data. (c) 2007 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.agrformet.2007.04.004
dc.identifier.endpage47en_US
dc.identifier.issn0168-1923
dc.identifier.issn1873-2240
dc.identifier.issue1-2en_US
dc.identifier.scopus2-s2.0-34249978718en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage36en_US
dc.identifier.urihttps://doi.org/10.1016/j.agrformet.2007.04.004
dc.identifier.urihttps://hdl.handle.net/20.500.12483/10288
dc.identifier.volume145en_US
dc.identifier.wosWOS:000248322900003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofAgricultural and Forest Meteorologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectglobal solar radiationen_US
dc.subjectempirical modelsen_US
dc.subjectsunshineen_US
dc.subjectuniversal krigingen_US
dc.subjectspatio-temporal modelingen_US
dc.subjectTurkeyen_US
dc.titleSpatio-temporal modeling of global solar radiation dynamics as a function of sunshine duration for Turkeyen_US
dc.typeArticleen_US

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