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http://dx.doi.org/10.3741/JKWRA.2014.47.12.1227

Improvement of Rainfall Estimation according to the Calibration Bias of Dual-polarimetric Radar Variables  

Kim, Hae-Lim (Weather Radar Center)
Park, Hye-Sook (Weather Radar Center)
Ko, Jeong-Seok (Weather Radar Center)
Publication Information
Journal of Korea Water Resources Association / v.47, no.12, 2014 , pp. 1227-1237 More about this Journal
Abstract
Dual-polarization can distinguish precipitation type and dual-polarization is provide not only meteorological phenomena in the atmosphere but also non-precipitation echoes. Therefore dual-polarization radar can improve radar estimates of rainfall. However polarimetric measurements by transmitting vertically vibration waves and horizontally vibrating waves simultaneously is contain systematic bias of the radar itself. Thus the calibration bias is necessary to improve quantitative precipitation estimation. In this study, the calibration bias of reflectivity (Z) and differential reflectivity ($Z_{DR}$) from the Bislsan dual-polarization radar is calculated using the 2-Dimensional Video Disdrometer (2DVD) data. And an improvement in rainfall estimation is investigated by applying derived calibration bias. A total of 33 rainfall cases occurring in Daegu from 2011 to 2012 were selected. As a results, the calibration bias of Z is about -0.3 to 5.5 dB, and $Z_{DR}$ is about -0.1 dB to 0.6 dB. In most cases, the Bislsan radar generally observes Z and $Z_{DR}$ variables lower than the simulated variables. Before and after calibration bias, compared estimated rainfall from the dual-polarization radar with AWS rain gauge in Daegu found that the mean bias has fallen by 1.69 to 1.54 mm/hr, and the RMSE has decreased by 2.54 to 1.73 mm/hr. And estimated rainfall comparing to the surface rain gauge as ground truth, rainfall estimation is improved about 7-61%.
Keywords
2D Video Disdrometer; calibration bias; dual-polarization; radar rainfall estimation;
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Times Cited By KSCI : 2  (Citation Analysis)
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