Retrieving cloud characteristics from ground-based daytime color all-sky images

Long, C. N. and Sabburg, J. M. and Calbo, J. and Pages, D. (2006) Retrieving cloud characteristics from ground-based daytime color all-sky images. Journal of Atmospheric and Oceanic Technology, 23 (5). pp. 633-652. ISSN 0739-0572

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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

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Item Type:	Article (Commonwealth Reporting Category C)
Refereed:	Yes
Item Status:	Live Archive
Depositing User:	epEditor USQ
Faculty / Department / School:	Historic - Faculty of Sciences - Department of Biological and Physical Sciences
Date Deposited:	11 Oct 2007 01:11
Last Modified:	02 Jul 2013 22:45
Uncontrolled Keywords:	irradiance; skies; surface; simulations
Fields of Research :	04 Earth Sciences > 0401 Atmospheric Sciences > 040199 Atmospheric Sciences not elsewhere classified 02 Physical Sciences > 0201 Astronomical and Space Sciences > 020102 Astronomical and Space Instrumentation 04 Earth Sciences > 0401 Atmospheric Sciences > 040106 Cloud Physics
Identification Number or DOI:	doi: 10.1175/JTECH1875.1
URI:	http://eprints.usq.edu.au/id/eprint/2641

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