2026-04-22T20:22:37Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/44952024-05-14T10:41:29Zcom_10259_4393com_10259_5086com_10259_2604col_10259_4394

Rodríguez Amigo, María del Carmen 474 500 0000-0002-4639-4979 Diez Mediavilla, Montserrat 154 500 0000-0002-4957-9530 González Peña, David 256 500 0000-0002-9347-4947 Pérez Burgos, Ana Mª 436 500 0000-0002-6404-5078 Alonso Tristán, Cristina 23 500 0000-0003-4733-7391 2017-06-14T08:21:31Z 2019-07-15T02:45:07Z 2017-07 0038-092X http://hdl.handle.net/10259/4495 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 Spanish 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. application/pdf eng Elsevier Solar Energy. 2017, V. 151, p 14–21 https://doi.org/10.1016/j.solener.2017.05.024 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Interpolation methods Solar radiation Ground meteorological network ArcGis Electrical engineering Electrotecnia Mathematical interpolation methods for spatial estimation of global horizontal irradiation in Castilla-León, Spain: a case study info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 805 https://riubu.ubu.es/bitstream/10259/4495/8/license_rdf 4460e5956bc1d1639be9ae6146a50347 MD5 8 THUMBNAIL Rodríguez-SE-2017.pdf.jpg Rodríguez-SE-2017.pdf.jpg IM Thumbnail image/jpeg 4379 https://riubu.ubu.es/bitstream/10259/4495/7/Rodr%c3%adguez-SE-2017.pdf.jpg a418139679946be5bcb38764e89b345a MD5 7 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/4495/4/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 4 ORIGINAL Rodríguez-SE-2017.pdf Rodríguez-SE-2017.pdf application/pdf 1067117 https://riubu.ubu.es/bitstream/10259/4495/5/Rodr%c3%adguez-SE-2017.pdf 3e824c34b1734a77108118a222c17321 MD5 5 TEXT Rodríguez-SE-2017.pdf.txt Rodríguez-SE-2017.pdf.txt Extracted text text/plain 33733 https://riubu.ubu.es/bitstream/10259/4495/6/Rodr%c3%adguez-SE-2017.pdf.txt fe5bc055d56b21c6c636d4dba884aa6e MD5 6 10259/4495 oai:riubu.ubu.es:10259/4495 2024-05-14 12:41:29.88 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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