[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9717/JMIS.2018.5.4.245

Quantitative Estimation of the Precipitation utilizing the Image Signal of Weather Radar

Choi, Jeongho (Dept. of Mechatronics Engineering, Chosun College of Science & Technology)
Lim, Sanghun (Korea Institute of Civil Engineering and Building Technology)
Han, Myoungsun (Korea Institute of Civil Engineering and Building Technology)
Kim, Hyunjung (Korea Institute of Civil Engineering and Building Technology)
Lee, Baekyu (Dept. of Mechatronics Engineering, Chosun College of Science & Technology)

Publication Information

Journal of Multimedia Information System / v.5, no.4, 2018 , pp. 245-256 More about this Journal

Abstract

This study estimated rainfall information more effectively by image signals through the information system of weather radar. Based on this, we suggest the way to estimate quantitative precipitation utilizing overlapped observation area of radars. We used the overlapped observation range of ground hyetometer observation network and radar observation network which are dense in our country. We chose the southern coast where precipitation entered from seaside is quite frequent and used Sungsan radar installed in Jeju island and Gudoksan radar installed in the southern coast area. We used the rainy season data generated in 2010 as the precipitation data. As a result, we found a reflectivity bias between two radar located in different area and developed the new quantitative precipitation estimation method using the bias. Estimated radar rainfall from this method showed the apt radar rainfall estimate than the other results from conventional method at overall rainfall field.

Keywords

Weather Radar; Information System; CRQPE; Image Signal; Radar Bias;

Citations & Related Records

Reference

1	Kim, J, Yoo, C, Lim, S, and Choi, J, "Usefulness of relay-information-transfer for radar QPE," Journal of Hydrology, vol. 531, pp. 308-319, 2015. DOI
2	Wang, Y, and V. Chandrasekar, "Quantitative precipitation estimation in the CASA X-band dual-polarization radar network," Journal of Atmospheric and Oceanic Technology, vol. 27, no. 10, pp. 1665-1676, 2010. DOI
3	Marshall, JS and Palmer, WM, "The distribution of raindrop with size," Journal of Atmospheric Sciences, vol. 5, pp. 165-166, 1948.
4	Kim, J, "Using a data assimilation technique and a concept of information transfer for quantitative radar rainfall estimation and mean field bias correction," Ph.D. Dissertation, Korea University, 2014.
5	Kim, J, Yoo, C, "Use of a dual Kalman filter for real-time correction of mean field bias of radar rain rate," Journal of Hydrology, vol. 519, pp. 2785-2796, 2014. DOI
6	Yoo, C, Kim, J, Chung, JH, Yang, DM, " Mean field bias correction of the very short range forecast rainfall using the Kalman filter," Journal of Korean Society of Hazard Mitigation, vol. 11, pp. 17-28, 2011.
7	Yoo, C, Park, C, Yoon, J, Kim, J, "Interpretation of mean-field bias correction of radar rain rate using the concept of linear regression," Hydrological Processes, vol. 28, no. 19, pp. 5081-5092, 2013. DOI
8	Henschke, A., Habib, E., Pathak, C.S., "Adjustment of the Z-R relationship in real-time for use in South Florida," World Environmental and Water Resources Congress 2009, ASCE, 6069-6080, 2009.
9	Rendon, S.H., Vieux, B.E., Pathak, C.S., "Deriving radar specific Z-R relationships for hydrologic operations," World Environmental and Water Resources Congress, 2011.
10	Rendon, S.H., Vieux, B.E., Pathak, C.S., "Continuous forecasting and evaluation of derived Z-R relationships in a sparse rain gauge network using NEXRAD," Journal of Hydrologic Engineering, ASCE, 13, 175-182, 2013.