Retrieving cloud characteristics from ground-based daytime color all-sky images
Article
Article Title | Retrieving cloud characteristics from ground-based daytime color all-sky images |
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ERA Journal ID | 1920 |
Article Category | Article |
Authors | Long, C. N. (Author), Sabburg, J. M. (Author), Calbo, J. (Author) and Pages, D. (Author) |
Journal Title | Journal of Atmospheric and Oceanic Technology |
Journal Citation | 23 (5), pp. 633-652 |
Number of Pages | 20 |
Year | 2006 |
Place of Publication | Boston, MA. USA |
ISSN | 0739-0572 |
1520-0426 | |
Digital Object Identifier (DOI) | https://doi.org/10.1175/JTECH1875.1 |
Web Address (URL) | http://journals.ametsoc.org/doi/abs/10.1175/JTECH1875.1 |
Abstract | A discussion is presented of daytime sky imaging and techniques that may be applied to the analysis of full-color sky images to infer cloud macrophysical properties. Descriptions of two different types of sky-imaging systems developed by the authors are presented, one of which has been developed into a commercially available instrument. Retrievals of fractional sky cover from automated processing methods are compared to human retrievals, both from direct observations and visual analyses of sky images. Although some uncertainty exists in fractional sky cover retrievals from sky images, this uncertainty is no greater than that attached to human observations for the commercially available sky-imager retrievals. Thus, the application of automatic digital image processing techniques on sky images is a useful method to complement, or even replace, traditional human observations of sky cover and, potentially, cloud type. Additionally, the possibilities for inferring other cloud |
Keywords | irradiance; skies; surface; simulations |
ANZSRC Field of Research 2020 | 370199. Atmospheric sciences not elsewhere classified |
519999. Other physical sciences not elsewhere classified | |
370107. Cloud physics | |
Byline Affiliations | Pacific Northwest National Laboratory, United States |
Department of Biological and Physical Sciences | |
University of Girona, Spain |
https://research.usq.edu.au/item/9y383/retrieving-cloud-characteristics-from-ground-based-daytime-color-all-sky-images
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