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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Laguarda, Agustín | - |
dc.contributor.author | Abal, Gonzalo | - |
dc.contributor.author | Russo, Paola | - |
dc.contributor.author | Habte, Aaron | - |
dc.date.accessioned | 2024-12-02T17:42:20Z | - |
dc.date.available | 2024-12-02T17:42:20Z | - |
dc.date.issued | 2025 | - |
dc.identifier.citation | Laguarda, A., Abal, G., Russo, P. y otros. Estimating UV-B, UV-Erithemic, and UV-A Irradiances From Global Horizontal Irradiance and MERRA-2 Ozone Column Information [Preprint]. Publicado en: Journal of Solar Energy Engineering, 147 (2), 2025. DOI: https://doi.org/10.1115/1.4066202. | es |
dc.identifier.uri | https://hdl.handle.net/20.500.12008/47321 | - |
dc.description.abstract | The ground ultraviolet (UV) solar radiation is relevant due to its impacts on plastics degradation (mainly UVA) and on human health (UVB and erithemic UV, or UVE). UV ground measurements are not as ubiquitous as the relatively common global horizontal irradiance (GHI) measurements. Three simple models that estimate the UVA, UVB, and UVE components of solar irradiance from GHI and ozone column information are locally adjusted and validated. Five 1-minute datasets from three sites in southeastern South America and two in the United States are used for simultaneous solar irradiance and UV data. All sites correspond to temperate midlatitude regions. Simultaneous atmospheric total ozone column information is obtained from the reanalysis Modern-Era Retrospective analysis for Research and Applications (MERRA-2) database for each site. Aside from locally adjusted models, average models with a single set of coefficients are also evaluated. For instance, the best average model is able to estimate UVE with a typical uncertainty below 12% and mean biases between ±3%, relative to the average of the measurements. Similar results are reported for the UVB and UVA components. These results, which can be useful in regions with similar climate and geography, provide a simple way to estimate UV irradiance under all-sky conditions with known uncertainty. This is an alternative to global satellite-based UV estimates, which can have high uncertainties at specific locations. Because MERRA-2 information has a global coverage, when coupled with good satellite-based estimates for GHI, UV irradiances can be estimated by this method over a large territory. | es |
dc.format.extent | 13 p. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | en | es |
dc.relation.ispartof | Journal of Solar Energy Engineering 147 (2):021001, 2025. | es |
dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
dc.subject | Environmental UV radiation | es |
dc.subject | UVA | es |
dc.subject | UVB | es |
dc.subject | UVE | es |
dc.subject | Solar radiation modeling | es |
dc.title | Estimating UV-B, UV-Erithemic, and UV-A irradiances from global horizontal irradiance and MERRA-2 ozone column information. | es |
dc.type | Preprint | es |
dc.contributor.filiacion | Laguarda Agustín, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
dc.contributor.filiacion | Abal Gonzalo, Universidad de la República (Uruguay). CENUR Litoral Norte. Laboratorio de Energía Solar. | - |
dc.contributor.filiacion | Russo Paola, Universidad de la República (Uruguay). CENUR Litoral Norte. Laboratorio de Energía Solar. | - |
dc.contributor.filiacion | Habte Aaron, National. Renewable Energy Laboratory. | - |
dc.rights.licence | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) | es |
Aparece en las colecciones: | Publicaciones académicas y científicas - Laboratorio de Energía Solar (LES) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | ||
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LARH24.pdf | Preprint | 3,06 MB | Adobe PDF | Visualizar/Abrir |
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