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Statistical Study and Prediction of Variability of Erythemal Ultraviolet Irradiance Solar Values in Valencia, Spain

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Statistical Study and Prediction of Variability of Erythemal Ultraviolet Irradiance Solar Values in Valencia, Spain

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dc.contributor.author Gurrea-Ysasi, Gonzalo es_ES
dc.contributor.author Blanca Giménez, Vicente es_ES
dc.contributor.author Perez, Vicente es_ES
dc.contributor.author Serrano, María-Antonia es_ES
dc.contributor.author Moreno, J.C. es_ES
dc.date.accessioned 2020-07-07T03:32:27Z
dc.date.available 2020-07-07T03:32:27Z
dc.date.issued 2018-11 es_ES
dc.identifier.issn 1976-7633 es_ES
dc.identifier.uri http://hdl.handle.net/10251/147517
dc.description.abstract [EN] The goal of this study was to statistically analyse the variability of global irradiance and ultraviolet erythemal (UVER) irradiance and their interrelationships with global and UVER irradiance, global clearness indices and ozone. A prediction of short-term UVER solar irradiance values was also obtained. Extreme values of UVER irradiance were included in the data set, as well as a time series of ultraviolet irradiance variability (UIV). The study period was from 2005 to 2014 and approximately 250,000 readings were taken at 5-min intervals. The effect of the clearness indices on global irradiance variability (GIV) and UIV was also recorded and bi-dimensional distributions were used to gather information on the two measured variables. With regard to daily GIV and UIV, it is also shown that for global clearness index (k(t)) values lower than 0.6 both global and UVER irradiance had greater variability and that UIV on cloud-free days (k(t) higher than 0.65) exceeds GIV. To study the dependence between UIV and GIV the (2) statistical method was used. It can be concluded that there is a 95% probability of a clear dependency between the variabilities. A connection between high k(t) (corresponding to cloudless days) and low variabilities was found in the analysis of bi-dimensional distributions. Extreme values of UVER irradiance were also analyzed and it was possible to calculate the probable future values of UVER irradiance by extrapolating the values of the adjustment curve obtained from the Gumbel distribution. es_ES
dc.description.sponsorship The translation of this paper was funded by the Universitat Politècnica de València, Spain. The research was supported by the Generalitat Valenciana within the project PROMETEO II 058. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation GV/PROMETEOII/2014/058 es_ES
dc.relation.ispartof Asia-Pacific Journal of Atmospheric Sciences es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Variability UVER es_ES
dc.subject UVER prediction es_ES
dc.subject Statistical analysis es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.subject.classification CONSTRUCCIONES ARQUITECTONICAS es_ES
dc.title Statistical Study and Prediction of Variability of Erythemal Ultraviolet Irradiance Solar Values in Valencia, Spain es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s13143-018-0079-y es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Gurrea-Ysasi, G.; Blanca Giménez, V.; Perez, V.; Serrano, M.; Moreno, J. (2018). Statistical Study and Prediction of Variability of Erythemal Ultraviolet Irradiance Solar Values in Valencia, Spain. Asia-Pacific Journal of Atmospheric Sciences. 54(4):599-610. https://doi.org/10.1007/s13143-018-0079-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s13143-018-0079-y es_ES
dc.description.upvformatpinicio 599 es_ES
dc.description.upvformatpfin 610 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 54 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\372672 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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