Journal article
Cloud observations for the statistical evaluation of the UV index at Toowoomba, Australia
International Journal of Biometeorology, Vol.52(3), pp.159-166
2008
Abstract
The development of a unique statistical model for the estimation of the UV index for all sky conditions with solar zenith angles of 60° or less is reported. The model was developed based on available data from an integrated whole-sky automated sky camera and UV spectral irradiance measurement system that was collected every 5 min when the equipment was operational over a period of 1 year. The final model does not include terms directly associated with solar radiation, but rather employs terms, and interactions between these terms, including the parameters of sky cover, solar obstruction, and cloud brightness. The correlation between the estimations of the model and the measured values was 0.81. The developed model was evaluated on a data set spanning 5 months that had not been employed in the development of the model. The correlation for this new data set was 0.50, which increased to 0.65 for the cases when the clouds were considered to be a contributor to UV enhancement above that of a cloud-free day.
Details
- Title
- Cloud observations for the statistical evaluation of the UV index at Toowoomba, Australia
- Authors
- A V Parisi (Author) - University of Southern QueenslandJ Sabburg (Author) - University of Southern QueenslandJ Turner (Author) - University of Southern QueenslandPeter K Dunn (Author) - University of Southern Queensland
- Publication details
- International Journal of Biometeorology, Vol.52(3), pp.159-166
- Publisher
- Springer
- Date published
- 2008
- DOI
- 10.1007/s00484-007-0106-7
- ISSN
- 0020-7128
- Copyright note
- Copyright © Springer-Verlag 2008. The author's accepted version is reproduced here in accordance with the publisher's copyright policy. The final publication is available at www.springerlink.com
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99449556402621
- Output Type
- Journal article
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