Browse > Article
http://dx.doi.org/10.9717/JMIS.2018.5.1.1

Fast Coordinate Conversion Method for Real-time Weather Radar Data Processing  

Jang, Bong-Joo (Korea Institute of Civil Engineering and Building Technology)
Lim, Sanghun (Korea Institute of Civil Engineering and Building Technology)
Kim, Won (Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Multimedia Information System / v.5, no.1, 2018 , pp. 1-8 More about this Journal
Abstract
The coordinate system conversion of weather radar data is a basic and important process because it can be a factor to measure the accuracy of radar precipitation rate by comparison with the ground rain gauge. We proposed a real-time coordinate system conversion method that combines the advantages of the interpolation masks of SPRINT and REORDER to use tables of predetermined radar samples for each interpolated object coordinate and also distance weights for each precomputed sample. Experimental results show that the proposed method improves the computation speed more than 20~30 times compared with the conventional method and shows that the deterioration of image quality is hardly ignored.
Keywords
Weather Radar; Coordinate Conversion; Real-time Processing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 V. N, Bringi and V. Chandrasekar, Polarimetric Doppler Weather Radar: Principles and Applications. New York, NY: Cambridge University Press, 2001.
2 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.
3 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.
4 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.   DOI
5 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.   DOI
6 B. J. Jang and S. Lim, "GIS Based Realistic Weather Radar Data Visualization Technique," Journal of Multimedia Information Systems, vol. 4, no. 1, pp. 1-8, 2017.   DOI
7 L. J. Miller, "Some Fundamentals of Doppler Radar Velocity Analysis - Data Preparation and Gridding for Wind Synthesis Using REORDER, SPRINT, and CEDRIC PROGRAMS," https://wiki.ucar.edu/download/attachments/41487211/Lecture2-9.ppt, accessed Mar. 2018.
8 S. X. Zhang, CASA real-time multi-Doppler retrieval system. Colorado State University, 2011.
9 L. J. Miller, and S. M. Fredrick, SPRINT- Sorted Position Radar INTerpolation, NCAR, 76 p. 1999.
10 R. Oye, and M. Case, REORDER- A program for gridding radar data: Installation and use manual for the UNIX version, NCAR, 44 p. 1992.