Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/10256/7693

A Method for Sky-Condition Classification from Ground-Based Solar Radiation Measurements
Calbó Angrill, Josep; González Gutiérrez, Josep Abel; Pagès, David
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
Radiació solar
Núvols
Clouds
Meteorologia -- Observacions
Meteorology -- Observations
Sun -- Radiation
Tots els drets reservats
Artículo
info:eu-repo/semantics/publishedVersion
American Meteorological Society
         

Mostrar el registro completo del ítem

Documentos relacionados

Otros documentos del mismo autor/a

Calbó Angrill, Josep; Pagès, David; González Gutiérrez, Josep Abel
Badosa i Franch, Jordi; González Gutiérrez, Josep Abel; Calbó Angrill, Josep; Van Weele, Michiel; McKenzie, Richard L.
Badosa i Franch, Jordi; McKenzie, Richard L.; Kotkamp, Michael; Calbó Angrill, Josep; González Gutiérrez, Josep Abel; Johnston, Paul V.; O’Neill, Michael; Anderson, D.J.