A new algorithm to estimate sky condition based on 5 minutes-averaged values of clearness index and relative optical air mass

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Federal de Goiás (UFG)-
Autor(es): dc.contributorUniversity of State of São Paulo-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorAssunção, Hildeu F.-
Autor(es): dc.creatorEscobedo, João F.-
Autor(es): dc.creatorOliveira, Amauri P.-
Data de aceite: dc.date.accessioned2025-08-21T23:19:28Z-
Data de disponibilização: dc.date.available2025-08-21T23:19:28Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2007-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s00704-006-0283-z-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/231048-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/231048-
Descrição: dc.descriptionThis work describes a new algorithm to characterize sky condition in intervals of 5min using four categories of sun exposition: apparent sun with cloud reflection effects; apparent sun without cloud effects; sun partially concealed by clouds; and sun totally concealed by clouds. The algorithm can also be applied to estimate hourly and daily sky condition in terms of the traditional three categories: clear, partially cloudy and cloudy day. It identifies sky conditions within a confidence interval of 95% by minimizing local climate and measurement effects. This is accomplished by using a logistic cumulative probability function to characterize clear sky and Weibull cumulative probability function to represent cloudy sky. Both probability functions are derived from frequency distributions of clearness index, based on 5 minutes-averaged values of global solar irradiance observed at the surface during a period of 6 years in Botucatu, Southeastern of Brazil. The relative sunshine estimated from the new algorithm is statistically comparable to the one derived from Campbell-Stocks sunshine recorder for both daily and monthly values. The new method indicates that the highest frequency of clear sky days occurs in Botucatu during winter (66%) and the lowest during the summer (38%). Partially cloudy condition is the dominant feature during all months of the year. © Springer-Verlag 2007.-
Descrição: dc.descriptionDepartment of Geography Federal University of Goiás Campus of Jataí, Jataí, Goiás-
Descrição: dc.descriptionDepartment of Natural Resources School of Agronomic Science University of State of São Paulo, Botucatu, São Paulo-
Descrição: dc.descriptionDepartment of Atmospheric Sciences Institute of Astronomy Geophysics and Atmospheric Sciences University of São Paulo, São Paulo-
Formato: dc.format235-248-
Idioma: dc.languageen-
Relação: dc.relationTheoretical and Applied Climatology-
???dc.source???: dc.sourceScopus-
Título: dc.titleA new algorithm to estimate sky condition based on 5 minutes-averaged values of clearness index and relative optical air mass-
Tipo de arquivo: dc.typelivro digital-
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