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http://dx.doi.org/10.3741/JKWRA.2022.55.9.679

Quantitative precipitation estimation of X-band radar using empirical relationship  

Song, Jae In (Department of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Technology)
Lim, Sanghun (Department of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Technology)
Cho, Yo Han (Han River Flood Control Office)
Jeong, Hyeon Gyo (Han River Flood Control Office)
Publication Information
Journal of Korea Water Resources Association / v.55, no.9, 2022 , pp. 679-686 More about this Journal
Abstract
As the occurrences of flash floods have increased due to climate change, faster and more accurate precipitation observation using X-band radar has become important. Therefore, the Ministry of Environment installed two dual-pol X-band radars at Samcheok and Uljin. The radar data used in this study were obtained from two different elevation angles and composed to reduce the shielding effect. To obtain quantitative rainfall, quality control (QC), KDP retrieval, and Hybrid Surface Rainfall (HSR) methods were sequentially applied. To improve the accuracy of the quantitative precipitation estimation (QPE) of the X-band radar, we retrieved parameters for the relationship between rainfall rate and specific differential phase, which is commonly called the R-KDP relationship; hence, an empirical approach was developed using multiple rain gauges for those two radars. The newly suggested relationship, R = 27.4K0.81DP, slightly increased the correlation coefficient by 1% more than the relationship suggested by the previous study. The root mean square error significantly decreased from 3.88 mm/hr to 3.68 mm/hr, and the bias of the estimated precipitation also decreased from -1.72 mm/hr to -0.92 mm/hr for overall cases, showing the improvement of the new method.
Keywords
Precipitation; KDP; R-KDP relationship; Empirical approach; HSR;
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