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http://dx.doi.org/10.9717/kmms.2016.19.4.689

Study about Real-time Total Monitoring Technique for Various Kinds of Multi Weather Radar Data  

Jang, Bong-Joo (Hydro Science and Engineering Research Institute, KICT)
Lee, Keon-Haeng (Han River Flood Control Office, MOLIT)
Lim, Sanghun (Hydro Science and Engineering Research Institute, KICT)
Lee, Dong-Ryul (Hydro Science and Engineering Research Institute, KICT)
Kwon, Ki-Ryong (Dept. of IT Convergence and Application Eng., Pukyong National University)
Publication Information
Abstract
This paper proposed an realtime total monitoring platform for various kind of multi weather radars to analyze and predict weather phenomenons and prevent meteorological disasters. Our platform is designed to process each weather radar data on each radar site to minimize overloads from conversion and transmission of large volumed radar data, and to set observers up the definitive radar data via public framework server separately. By proposed method, weather radar data having different spatial or temporal resolutions can be automatically synchronized with there own spatio-temporal domains on public GIS platform having only one spatio-temporal criterion. Simulation result shows that our method facilitates the realtime weather monitoring from weather radars having various spatio-temporal resolutions without other data synchronization or assimilation processes. Moreover, since this platform doesn't require some additional computer equipments or high-technical mechanisms it has economic efficiency for it's systemic constructions.
Keywords
Weather Radar; Realtime Monitoring; Multi Resolution; Total Monitoring Platform;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 B.J. Jang, S. Lim, S. H. Lee, K. S. Moon, V. Chandrasekar, and K. R. Kwon, "A Visualization Method of High Definition Weather Radar Information for Various GIS Platforms," Journal of Korea Multimedia Society, Vol. 16, No. 11, pp. 1239- 1249, 2013.   DOI
2 B.J. Jang, K.H. Lee, S. Lim, and K.R. Kwon, "Hierarchical Compression Technique for Reflectivity Data of Weather Radar," Journal of Korea Multimedia Society, Vol. 18, No. 7, pp. 793-805, 2015.   DOI
3 B.J. Jang, K.H. Lee, D.R. Lee, and S. Lim, "High-Precision and 3D GIS Matching and Projection Based User-Friendly Radar Display Technique," Journal of Korea Water Resources Association, Vol. 47, No. 12, pp. 1145-1154, 2014.   DOI
4 McGil University, http://www.radar.mcgill.ca/science/ex-instrument/ex-scanning-radar.html (accessed Jan., 18, 2016).
5 KMA, http://www.kma.go.kr/weather/images/rader_integrate.jsp (accessed Jan., 18, 2016).
6 HRFCO, MOLIT, http://www.hrfco.go.kr/sumun/radarList.do (accessed Jan., 18, 2016).
7 Google Earth, http://www.google.com/earth/, (accessed Jan., 2, 2016).
8 J. Wernecke, The KML Handbook: Geographic Visualization for the Web, Addison-Wesley, New York, 2008.
9 Google Map, https://www.google.co.kr/maps/ (accessed Jan., 1, 2016).
10 Google Developers, https://developers.google.com/kml/documentation/kml_tut (accessed Jan., 12, 2016).
11 Libpng Home Page, http://www.libpng.org/pub/png/libpng.html, (accessed Jan., 4, 2016).
12 K. Friedrich and M. Hagen, “A Quality Control Concept for Radar Reflectivity, Polarimetric Parameters, and Doppler Velocity,” Journal of Atmospheric Oceanic Technology, Vol. 23, pp. 865-887, 2006.   DOI
13 V. Lakshmanan, A. Fritz, T. Smith, K. Hondl, and G. Stumpf, “An Automated Technique to Quality Control Radar Reflectivity Data,” Journal of Applied Meteorology Climatology, Vol. 46, pp. 288-305, 2007.   DOI
14 L. Yang, B.J. Jang, S. Lim, K.C. Kwon, S.H. Lee, and K.R. Kwon, "Weather Radar Image Gener ation Method Using Interpolation Based on CUDA," Journal of Korea Multimedia Society, Vol. 18, No. 4, pp. 473-482, 2015.   DOI
15 R. Cifeli, V. Chandrasekar, S. Lim, Y. Wang, and S. A. Rutledge, “A New Dual-Polarization Radar Rainfall Algorithm: Application on Colorado Precipitation Events,” Journal of Atmospheric Oceanic Technology, Vol. 28, pp. 352-364, 2011.   DOI