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Calbó Angrill, Josep
González Gutiérrez, Josep Abel Pagès, David |
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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 | |
http://hdl.handle.net/2072/209791 | |
eng | |
American Meteorological Society | |
Tots els drets reservats | |
Radiació solar
Núvols Clouds Meteorologia -- Observacions Meteorology -- Observations Sun -- Radiation |
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A Method for Sky-Condition Classification from Ground-Based Solar Radiation Measurements | |
info:eu-repo/semantics/article | |
Recercat |