In stratiform precipitation,if an appropriate correction is not applied,the bright band(BB) that is induced by melting affection will cause significant overestimation in radar quantitative precipitation estimation(QPE).Therefore,the main objective of the current study is to develop an algorithm that is based on weather radar vertical profile of reflectivity(VPR) data and can automatically correct large errors caused by BB effects.Therefore,it will improve a real-time weather radar derived QPE.Firstly,we divide radar echoes into convective and stratiform before a VPR correction is applied.In this study,in addition to the method of SHY95,we make use of a full three-dimensional volume of reflectivity characters to avoid errors caused by BB in heavy stratiform rain.Then,the stratiform area is further divided into two parts:one is the BB affected area while the other one is not.The VPR are only derived and applied to the bright band affected area(BBA) rather than to the whole radar coverage.The BB boundaries are identified by a new algorithm which utilizes a rotational coordinate system for identifying the upper and lower boundaries of BB.Finally,the slope over and under BB is obtained by a least squares linear fitting to the VPR between the BB boundaries in order to smooth the incorrect VPR curve.The correction method was tested by ten events in different seasons in Beijing from 2010 to 2011.It is found that after the correction of BB,the RMSE,RMAE and RMB of radar-gauge pairs reduce significantly (1.538 mm,0.41 and 0.468 on average,respectively).So we can reach the conclusion that the correction is effective in reducing overestimation errors in radar derived QPE.