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dc.contributor.author
Lakkis, Susan Gabriela
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dc.contributor.author
Lavorato, Mario Blas
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dc.contributor.author
Canziani, Pablo Osvaldo
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dc.date.available
2018-02-07T18:48:59Z
dc.date.issued
2014-07
dc.identifier.citation
Lakkis, Susan Gabriela; Lavorato, Mario Blas; Canziani, Pablo Osvaldo; Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis; Council for Innovative Resarch; Journal of Advances in Physics; 5; 1; 7-2014; 669-680
dc.identifier.issn
2347-3487
dc.identifier.uri
http://hdl.handle.net/11336/35982
dc.description.abstract
Six existing models and one proposed approach for estimating global solar radiation were tested in Buenos Aires using commonly measured meteorological data as temperature and sunshine hours covering the years 2010-2013. Statistical predictors as mean bias error, root mean square, mean percentage error, slope and regression coefficients were used as validation criteria. The variability explained (R2), slope and MPE indicated that the higher precision could be excepted when sunshine hours are used as predictor. The new proposed approach explained almost 99% of the RG variability with deviation of less than ± 0.1 MJm-2day-1 and with the MPE smallest value below 1 %. The well known Ångström-Prescott methods, first and third order, was also found to perform for the measured data with high accuracy (R2=0.97-0.99) but with slightly higher MBE values (0.17-0.18 MJm-2day-1). The results pointed out that the third order Ångström type correlation did not improve the estimation accuracy of solar radiation given the highest range of deviation and mean percentage error obtained. Where the sunshine hours were not available, the formulae including temperature data might be considered as an alternative although the methods displayed larger deviation and tended to overestimate the solar radiation behavior.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Council for Innovative Resarch
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Monthly Solar Radiation
dc.subject
Meteorological Data
dc.subject
Statistical Predictors
dc.subject
Argentina
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Estimation of monthly global solar radiation in Buenos Aires: preliminary analysis
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-02-05T20:13:32Z
dc.journal.volume
5
dc.journal.number
1
dc.journal.pagination
669-680
dc.journal.pais
Canadá
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dc.description.fil
Fil: Lakkis, Susan Gabriela. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina
dc.description.fil
Fil: Lavorato, Mario Blas. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina
dc.description.fil
Fil: Canziani, Pablo Osvaldo. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Journal of Advances in Physics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://cirworld.com/index.php/jap/article/view/1596
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