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| Titel |
Determination of daily solar ultraviolet radiation using statistical models and artificial neural networks |
| VerfasserIn |
F. J. Barbero, G. López, F. J. Batlles |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 24, no. 8 ; Nr. 24, no. 8 (2006-09-13), S.2105-2114 |
| Datensatznummer |
250015613
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| Publikation (Nr.) |
 copernicus.org/angeo-24-2105-2006.pdf |
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| Zusammenfassung |
| In this study, two different methodologies are used to develop two models
for estimating daily solar UV radiation. The first is based on traditional
statistical techniques whereas the second is based on artificial neural
network methods. Both models use daily solar global broadband radiation as
the only measured input. The statistical model is derived from a
relationship between the daily UV and the global clearness indices but
modulated by the relative optical air mass. The inputs to the neural network
model were determined from a large number of radiometric and atmospheric
parameters using the automatic relevance determination method, although only
the daily solar global irradiation, daily global clearness index and
relative optical air mass were shown to be the optimal input variables. Both
statistical and neural network models were developed using data measured at
Almería (Spain), a semiarid and coastal climate, and tested against
data from Table Mountain (Golden, CO, USA), a mountainous and dry
environment. Results show that the statistical model performs adequately in
both sites for all weather conditions, especially when only snow-free days
at Golden were considered (RMSE=4.6%, MBE= –0.1%). The neural network
based model provides the best overall estimates in the site where it has
been trained, but presents an inadequate performance for the Golden site
when snow-covered days are included (RMSE=6.5%, MBE= –3.0%). This result
confirms that the neural network model does not adequately respond on those
ranges of the input parameters which were not used for its development. |
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