The Radar-AWS Rainrate (RAR) calculation system operated by Korea Meteorological Administration has several limitations in estimating the rainfall amounts accurately, though the RAR calculation system estimates rainrate from real-time estimation of the Z-R relation using the reflectivity from weather radar and observed rainrate from Automatic Weather Station (AWS). This study applied the Local Gauge Correction (LGC) method which enables correcting the rainfall events occurred locally using the RAR calculation system and verified the accuracy of the LGC results. As a result, in the case analysis of the summer season (from June 2012 to August 2012), RMSE and correlation coefficient of the RAR calculation system are 6.39 and 0.87 and RMSE and correlation coefficient are 2.45 and 0.85, respectively, in the winter season (from December 2012 to February 2013). Therefore, the RAR calculation system has the accuracy of rainrate estimation. In this study, after the LGC method is applied to the RAR system, the accuracy of the RAR is improved in both summer (from 8.68 to 8.01 in RMSE) and winter seasons (from 2.58 to 2.00). The LGC method has also improved about 3 % than the Gauge to Radar (G/R) ratio. Furthermore, the corrected rainfall using the LGC method was inputted to the HEC-HMS to examine the accuracy of flood simulation. According to the results, the accuracy of flood results with the LGC method was improved 11.57% (in RMSE), 2.11% (in correlation coefficient), and 14.47% (Nash-Sutcliffe Efficiency) on average, along with the accuracy of hydrograph with the LGC method. Therefore, after the application of the LGC method, the RAR calculation system has sufficient capability to simulate the accurate rainrate while the LGC method can correct the amounts of rainrate from the RAR calculation system. It is advised that the corrected rainfall with the LGC method be utilized in hydrology field to produce more accurate hydrologic variables.
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