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dc.contributor.authorRodríguez Amigo, María del Carmen 
dc.contributor.authorDiez Mediavilla, Montserrat 
dc.contributor.authorGonzález Peña, David 
dc.contributor.authorPérez Burgos, Ana Mª 
dc.contributor.authorAlonso Tristán, Cristina 
dc.date.accessioned2017-06-14T08:21:31Z
dc.date.available2019-07-15T02:45:07Z
dc.date.issued2017-07
dc.identifier.issn0038-092X
dc.identifier.urihttp://hdl.handle.net/10259/4495
dc.description.abstractFour spatial interpolation methods (Inverse Distance Weighted, Spline, Kriging and Natural Neighbor) and their different variations are employed to map Global Horizontal Irradiation (GHI) in Castilla-León, Spain. The work has been performed using the software ArcGis, widely used in geostatistical applications, showing the versatility of the system and its applicability to climate data. The measuring network consists of 71 ground meteorological stations that use seven complete years of half-hourly data sets, yielding annual daily averages of GHI. The interpolation results are tested against data from the four Spanish National Meteorological Agency (AEMET) stations available in the region using standard statistical indicators (RMSE, MBE, MAPE and MAE). An additional partial cross validation of the results, which excludes five stations from the measuring network, employs different criteria to verify the results of the interpolation methods applied. This work contributes to the classification of interpolation methods to obtain climatological data across large areas with a low number of irregularly distributed of measurement points and with a low topographic complexity. The Universal Kriging method with quadratic semi-variogram shows the best results taking into account the RMSE and MAE statistical indicatorsen
dc.description.sponsorshipSpanish Government (Grant ENE2014-54601-R) and Junta de Castilla- León (BU034U16). One of the authors, David González Peña, thanks to Junta de Castilla-León and European Social Fund (Orden EDU/310/2015) for financial support.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherElsevieren
dc.relation.ispartofSolar Energy. 2017, V. 151, p 14–21en
dc.subjectInterpolation methodsen
dc.subjectSolar radiationen
dc.subjectGround meteorological networken
dc.subjectArcGisen
dc.titleMathematical interpolation methods for spatial estimation of global horizontal irradiation in Castilla-León, Spain: a case studyen
dc.typeArtículoes
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttps://doi.org/10.1016/j.solener.2017.05.024
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen


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