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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.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.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F058/ES/Estudio y comparación de las propiedades de los aerosoles a nivel de suelo, a partir de las medidas en la Columna Atmosférica y mediante satélite. Aplicación a la Comunidad Valenciana / 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
dc.description.references Alados-Arboledas, L., Alados, I., Foyo-Moreno, I., Olmo, F.J., Alcántara, A.: The influence of clouds on surface UV erythemal irradiance. Atmos. Res. 66, 273–290 (2003). https://doi.org/10.1016/S0169-8095(03)00027-9 es_ES
dc.description.references Al-Aruri, S.D.: The empirical relationship between global radiation and global ultraviolet (0.290-0.385) mm solar radiation components. Sol. Energy. 45, 61–64 (1990) es_ES
dc.description.references Anton, M., Gil, J.E., Cazorla, A., Fernández-Gálvez, J., Foyo-Moreno, I., Olmo, F.J., Alados-Arboledas, L.: Short-term variability of experimental ultraviolet and total solar irradiance in southeastern Spain. Atmos. Environ. 45, 4815–4821 (2011) es_ES
dc.description.references ASTM: Standard constant and air mass zero solar spectral irradiance tables. American Society for Testing and Materials. (1973) es_ES
dc.description.references Bais, AF., McKenzie, RL.: Ozone depletion and climate change: impacts on UV radiation. Photochem Photobiol Sci. 14,19–52 (2015). https://doi.org/10.1039/c4pp90032d es_ES
dc.description.references Barlett, J.S., Ciotti, A.M., Davis, R.F., Cullen, J.J.: The spectral effects of clouds on solar irradiance. J. Geophys. Res. 103, 31017–31031 (1998) es_ES
dc.description.references Bilbao, J., Mateos, D., De Miguel, A.: Analysis and cloudiness influence on UV total irradiation. Int. J. Climatol. 31, 451–460 (2011). https://doi.org/10.1002/joc.2072 es_ES
dc.description.references Borkowski, J.L.: Modelling of UV radiation variations at different time scales. Ann. Geophys. 26, 441–446 (2008) es_ES
dc.description.references Calbó, J., Pagés, D., González, J.: Empirical studies of cloud effects on radiation: a review. Rev. Geophys. 43, RG2002 (2005). https://doi.org/10.1029/2004RG-000155 es_ES
dc.description.references Cede, A., Blumthaler, M., Luccini, E., Piacentini, R.D., Nuñez, L.: Effects of clouds on erythemal and total irradiance as derived from data of the argentine network. J. Geophys. Res. 29(24), 2223 (2002). https://doi.org/10.1029/2002GL015708. es_ES
dc.description.references Chandrasekaran, J., Kumar, S.: Hourly diffuse fraction correlation at a tropical location. Solar energy. Elsevier B.V. 53, 505–510 (1994) es_ES
dc.description.references Commission Internationale de l’Eclairage C.I.E: International lighting Vocabulary. 4th. Ed. commission Internationale de l’Eclairage, 379 pp. (1987) es_ES
dc.description.references Commission Internationale de l’Eclairage C.I.E: Erythema Reference Action Spectrum and Standard Erythema Dose.CIE S007E-1998.CIE Central Bureau, Vienna, Austria. (1998) es_ES
dc.description.references Foyo-Moreno, I., Vida, J., Alados-Arboledas, L.: A simple all weather model estimate of ultraviolet solar radiation (290-385 nm). J. Appl.Meteor. 38, 1020–1026 (1998) es_ES
dc.description.references Frölich, C., London, J.: Revised Instruction Manual on radiation instruments and measurements.WCRP Pub. Series.No.7, WMO/TD 140 pp. (1986) es_ES
dc.description.references González, J.A., Calbó, J.: Influence of the global radiation variability on the hourly diffuse fraction correlations. Sol. Energy. 65, 119–131 (1999) es_ES
dc.description.references Gueymard, C.A., Ruiz-Arias, J.A.: Performance of separation models to predict direct irradiance at high frequency : validation over arid areas. Int Sol Energy Conf. 16–19 (2014). https://doi.org/10.18086/eurosun.2014.08.06 es_ES
dc.description.references Gumbel, E.J.: Statistical theory of extreme values and some practical applications. National Bureau of Standards. Appl. Mathem. 33, 343–354 (1954) es_ES
dc.description.references Gutiérrez, S.: Bioestadística.Ed. Tébar Flores, Madrid, pp.154. (1978) es_ES
dc.description.references Haigh, J.: Solar influences on climate. Grantham Institute for climate change. Briefing paper No 5. (2011) es_ES
dc.description.references Hegglin, M.I., Shepherd, T.G.: Largeclimate-Inducedchanges in Ultravioletindex and stratosphere-to-troposphere ozone flux. Nat. Geosci. 2, 687–691 (2009) es_ES
dc.description.references Holick, M.F.: Vitamin D: importance in the prevention of cancers, type diabetes, heart disease, and osteoporosis. Am. J. Clin.Nutr. 79, 362–371 (2004) es_ES
dc.description.references Hülsen, G., Gröbner, J.: Characterization and calibration of ultraviolet broadband radiometers measuring erythemally weighted irradiance. Appl. Opt. 46, 5877–5886 (2007) es_ES
dc.description.references Iqbal, M.: An introduction to solar radiation. Academic Press, Canada (1983) es_ES
dc.description.references Jódar, B.: Análisis estadístico de experimentos. Ed. Alhambra. pp.180 (1981) es_ES
dc.description.references Joonsuk, L., Won, J.C., Deok, R.K., Seung, Y.K., Chang, K.S., Jun, S.H., Youdeog, H., Sukjo, L.: The effect of ozone and aerosols on the surface erythemal UV radiation estimated from OMI measurements. Asia-Pac. J. Atmos. Sci. 49(3), 271–278 (2013) es_ES
dc.description.references Kuye, A., Jagtap, S.S.: Analysis of solar radiation data for Port Harcourt, Nigeria. Solar energy. Elsevier B.V. 49, 139–145 (1992) es_ES
dc.description.references Li, D.H.W., Lam, J.C.: An analysis of climatic parameters and sky condition classification. Build. Environ. 36, 435–445 (2001) es_ES
dc.description.references Li, D.H.W., Lau, C.C.S., Lam, J.C.: Overcast sky conditions and luminance distribution in Hong Kong. Build. Environ. 39, 101–108 (2004) es_ES
dc.description.references Liu, B.H., Jordan, R.C.: The interrelationship and characteristic distribution of direct, diffuse and total solar radiation. Sol. Energy. 4, 1–19 (1960) es_ES
dc.description.references Mateos, D., Bilbao, J., de Miguel, A., Pérez-Burgos, A.: Dependence of ultraviolet (erythemal and total) radiation and CMF values on total and low cloud covers in Central Spain. Atmos. Res. 98, 21–27 (2010). https://doi.org/10.1016/j.atmosres.2010.05.002. es_ES
dc.description.references Murillo, W., Cañada, J., Pedrós, G.: Correlation between global ultraviolet (290-385 nm) and global irradiation in Valencia and Córdoba (Spain). Renew. Energy. 28, 409–418 (2003) es_ES
dc.description.references Orgill, J.F., Hollands, K.G.T.: Correlation equation for hourly diffuse radiation on a horizontal surface. Solar energy. Elsevier B.V. 19, 357–359 (1977) es_ES
dc.description.references Reindl, D.T., Beckman, W.A., Duffie, J.A.: Diffuse fraction correlations. Solar energy. Elsevier B.V. 45, 1–7 (1990) es_ES
dc.description.references Román, R., Bilbao, J., De Miguel, A.: Erythemal ultraviolet irradiation trends in the Iberian Peninsula from 1950 to 2011. Atmos. Chem. Phys. 15, 375–391 (2015). https://doi.org/10.5194/acp-15-375-2015 es_ES
dc.description.references Sabburg, J., Parisi, A.V.: Spectral dependency of cloud enhanced UV irradiance. Atmos. Res. 81, 206–214 (2006) es_ES
dc.description.references Sabburg, J., Wong, J.: The effect of clouds on enhancing UVB irradiance at the earth’s surface: a one year study. Geophys. Res. Lett. 27(20), 3337–3340 (2000) es_ES
dc.description.references Sabziparvar, A.A.: Estimation of clear-sky effective erythema radiation from broadcast solar radiation (300-3000 nm) data in an arid climate. Int. J. Climatol. Phys. 29, 2027–2032 (2009) es_ES
dc.description.references Serrano, A., Antón, M., Cancillo, M.L., Mateos, V.L.: Daily and annual variations of erythemal ultraviolet radiation in southwestern Spain. Ann. Geophys. 24, 427–441 (2006) es_ES
dc.description.references Serrano, D., Núñez, M., Utrillas, M.P., Marín, M.J., Marcos, C., Martínez-Lozano, J.A.: Effective cloud optical depth for overcast conditions determined with a UV radiometers. Int. J. Climatol. 34, 3939–3952 (2014). https://doi.org/10.1002/joc.3953 es_ES
dc.description.references Soubdhan, T., Emilion, R., Calif, R.: Classification of daily solar radiation distributions using a mixture of Dirichlet distributions. Sol. Energy. 83, 1056–1063 (2009) es_ES
dc.description.references Tomson, T., Tamm, G.: Short-term variability of solar radiation. Sol. Energy. 80(5), 600–606 (2006) es_ES
dc.description.references UNEP: Environmental effects of ozone depletion and its interactions with climate change: 2014 Assesment, United Nations Environment Programme (UNEP), ISBN 978-9966-076-04-5, Nairobi, Kenya (2015) es_ES
dc.description.references Vilaplana, J.M., Cachorro, V.E., Sorribas, M., Luccini, E., de Frutos, A.M., Berjón, A., de la Morena, B.: Modified calibration procedures for a Yankee environmental system UVB-1 biometer based on spectral measurements with a brewer spectrophotometer. J. Photochem. Photobiol. 82, 508–514 (2006) es_ES
dc.description.references Woyte, A., Belmans, R., Nijs, J.: Fluctuations in instantaneous clearness index: analysis and statistics. Sol. Energy. 81, 195–206 (2007) es_ES


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