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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/4495

    Título
    Mathematical interpolation methods for spatial estimation of global horizontal irradiation in Castilla-León, Spain: a case study
    Autor
    Rodríguez Amigo, María del CarmenAutoridad UBU
    Diez Mediavilla, MontserratAutoridad UBU Orcid
    González Peña, DavidAutoridad UBU Orcid
    Pérez Burgos, Ana MªAutoridad UBU
    Alonso Tristán, CristinaAutoridad UBU Orcid
    Publicado en
    Solar Energy. 2017, V. 151, p 14–21
    Editorial
    Elsevier
    Fecha de publicación
    2017-07
    ISSN
    0038-092X
    Resumo
    Four 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 indicators
    Palabras clave
    Interpolation methods
    Solar radiation
    Ground meteorological network
    ArcGis
    Materia
    Electric engineering
    Ingeniería eléctrica
    URI
    http://hdl.handle.net/10259/4495
    Versión del editor
    https://doi.org/10.1016/j.solener.2017.05.024
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    Attribution-NonCommercial-NoDerivatives 4.0 International
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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