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Proceedings Paper

An evaluation of the schemes of ocean surface albedo parameterization in shortwave radiation estimation
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Paper Abstract

The ocean surface albedo (OSA) is a deciding factor on ocean net surface shortwave radiation (ONSSR) estimation. Several OSA schemes have been proposed successively, but there is not a conclusion for the best OSA scheme of estimating the ONSSR. On the base of analyzing currently existing OSA parameterization, including Briegleb et al.(B), Taylor et al.(T), Hansen et al.(H), Jin et al.(J), Preisendorfer and Mobley(PM86), Feng’s scheme(F), this study discusses the difference of OSA’s impact on ONSSR estimation in condition of actual downward shortwave radiation(DSR). Then we discussed the necessity and applicability for the climate models to integrate the more complicated OSA scheme. It is concluded that the SZA and the wind speed are the two most significant effect factor to broadband OSA, thus the different OSA parameterizations varies violently in the regions of both high latitudes and strong winds. The OSA schemes can lead the ONSSR results difference of the order of 20 w m-2. The Taylor’s scheme shows the best estimate, and Feng’s result just following Taylor’s. However, the accuracy of the estimated instantaneous OSA changes at different local time. Jin’s scheme has the best performance generally at noon and in the afternoon, and PM86’s is the best of all in the morning, which indicate that the more complicated OSA schemes reflect the temporal variation of OWA better than the simple ones.

Paper Details

Date Published: 9 December 2015
PDF: 13 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980809 (9 December 2015); doi: 10.1117/12.2207426
Show Author Affiliations
Hailin Niu, Beijing Normal Univ. (China)
Xiaotong Zhang, Beijing Normal Univ. (China)
Qiang Liu, Beijing Normal Univ. (China)
Youbin Feng, Ministry of Water Resources (China)
Xiuhong Li, Beijing Normal Univ. (China)
Jialin Zhang, Beijing Normal Univ. (China)
Erli Cai, Beijing Normal Univ. (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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