A Method for Sky-Condition Classification from Ground-Based Solar Radiation Measurements
dc.contributor.author
dc.date.accessioned
2013-04-09T08:17:59Z
dc.date.available
2013-04-09T08:17:59Z
dc.date.issued
2001
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1558-8432
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dc.description.abstract
Identification of clouds from satellite images is now a routine task. Observation of clouds from the ground, however, is still needed to acquire a complete description of cloud conditions. Among the standard meteorologicalvariables, solar radiation is the most affected by cloud cover. In this note, a method for using global and diffuse solar radiation data to classify sky conditions into several classes is suggested. A classical maximum-likelihood method is applied for clustering data. The method is applied to a series of four years of solar radiation data and human cloud observations at a site in Catalonia, Spain. With these data, the accuracy of the solar radiation method as compared with human observations is 45% when nine classes of sky conditions are to be distinguished, and it grows significantly to almost 60% when samples are classified in only five different classes. Most errors are explained by limitations in the database; therefore, further work is under way with a more suitable database
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application/pdf
dc.language.iso
eng
dc.publisher
American Meteorological Society
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Reproducció digital del document publicat a: http://dx.doi.org/10.1175/1520-0450(2001)040<2193:AMFSCC>2.0.CO;2
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© Journal of Applied Meteorology and Climatology, 2001, vol. 40, núm. 12, p. 2193-2199
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Articles publicats (D-F)
dc.rights
Tots els drets reservats
dc.subject
dc.title
A Method for Sky-Condition Classification from Ground-Based Solar Radiation Measurements
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
007571
dc.identifier.eissn
1558-8424