Journal of Multimedia Information System

한국멀티미디어학회 (Korea Multimedia Society)
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GIS Based Realistic Weather Radar Data Visualization Technique

  • Jang, Bong-Joo (Korea Institute of Civil Engineering and Building Technology) ;
  • Lim, Sanghun (Korea Institute of Civil Engineering and Building Technology)
  • 투고 : 2017.03.27
  • 심사 : 2017.04.09
  • 발행 : 2017.03.31
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초록

In recent years, the quixotic nature and concentration of rainfall due to global climate change has intensified. To monitor localized heavy rainfalls, a reliable disaster monitoring and warning system with advanced remote observation technology and high-precision display is important. In this paper, we propose a GIS-based intuitive and realistic 3D radar data display technique for accurate and detailed weather analysis. The proposed technique performs 3D object modeling of various radar variables along with ray profiles and then displays stereoscopic radar data on detailed geographical locations. Simulation outcomes show that 3D object modeling of weather radar data can be processed in real time and that changes at each moment of rainfall events can be observed three-dimensionally on GIS.

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참고문헌

  1. V. Chandrasekar, et al., "Accomplishments, challenges and opportunities in developing network based radar systems for high-impact small-scale weather events," 2011 IEEE RadarCon (RADAR), Kansas City, MO, pp. 1056-1061, May 2011.
  2. J. C. Hinton, "GIS and remote sensing integration for environmental applications," International Journal of Geographical Information Systems, vol. 10, no. 7, pp. 877-890, 1996. https://doi.org/10.1080/02693799608902114
  3. V. Sundaram, L. Zhao, C. X. Song, B. Benes, R. Veeramacheneni, and P. Kristof, "Real-time data delivery and remote visualization through multi-layer interfaces," 2008 Grid Computing Environments Workshop, Austin, TX, pp. 1-10, 2008.
  4. X. Zhang, and R. Srinivasan, "GIS-based spatial precipitation estimation using next generation radar and raingauge data," Environmental Modelling & Software, vol. 25, no. 12, pp. 1781-1788, 2010. https://doi.org/10.1016/j.envsoft.2010.05.012
  5. "J.S. Marshall Radar Observatory", http://www.radar.mcgill.ca, 2016.
  6. M. R. Duncan, A. Bellon, A. Kilambi, and G. L. Austin, "PPS and PPS Jr: A distribution network for weather radar products, severe weather warnings and rainfall forecasts," Eighth Int. Conf. on Interactive Information and Processing Systems for meteorology, oceanography and hydrology, Atlanta, GA, Amer. Meteor. Soc., pp. 67-74, 1992.
  7. Vaisala IRIS Datasets, "Three dimensional display for radar data Vaisala IRIS 3D View", http://www.vaisala.com/en/defense/products/weatherra dar/Pages/IRIS.aspx, 2016.
  8. C. N. James, S. R. Brodzik, H. Edmon, R. A. Houze, S. E. Yuter,"Radar data processing and visualization over complex terrain," Weather and Forecasting, Vol. 15, No. 3, pp. 327-338, 2000. https://doi.org/10.1175/1520-0434(2000)015<0327:RDPAVO>2.0.CO;2
  9. V. N, Bringi and V. Chandrasekar, Polarimetric Doppler Weather Radar: Principles and Applications. New York, NY: Cambridge University Press, 2001.
  10. "OpenGL Library", http://www.opengl.org, 2016.