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http://dx.doi.org/10.9717/kmms.2015.18.7.793

Hierarchical Compression Technique for Reflectivity Data of Weather Radar  

Jang, Bong-Joo (Water Resources Research Division, KICT)
Lee, Keon-Haeng (Han River Flood Control Center, MOLIT)
Lim, Sanghun (Water Resources Research Division, KICT)
Kwon, Ki-Ryong (Dept. of IT Convergence and Application Engineering, Pukyong National University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.7, 2015 , pp. 793-805 More about this Journal
Abstract
Nowadays the amount of data obtained from advanced weather radars is growing to provide higher spatio-temporal resolution. Accordingly radar data compression is important to use limited network bandwidth and storage effectively. In this paper, we proposed a hierarchical compression method for weather radar data having high spatio-temporal resolution. The method is applied to radar reflectivity and evaluated in aspects of accuracy of quantitative rainfall intensity. The technique provides three compression levels from only 1 compressed stream for three radar user groups-signal processor, quality controller, weather analyst. Experimental results show that the method has maximum 13% and minimum 33% of compression rates, and outperforms 25% higher than general compression technique such as gzip.
Keywords
Weather Radar; Compression; Reflectivity; Hierarchical Compression;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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