Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers
Title Regression Analysis or the Log-Normally Distributed Data and Mean Field Bias Correction of Radar Rainfall
Authors 유철상 ; 박철순 ; 윤정수 ; 하은호
Page pp.431-438
ISSN 10156348
Keywords normal distribution;lognormal distribution;regression analysis;radar rainfall;bias correction;정규분포;대수정규분포;회귀분석;레이더 강우;편의보정
Abstract This study investigated the problem of mean-field bias correction under the assumption that the radar and rain gauge rainfall data follow the log-normal distribution. Regression curves for the average, median and mode of the radar and rain gauge rainfall were derived and evaluated for their usefulness. Additionally, these regression curves were compared with those derived under the assumption that the radar and rain gauge data follow the normal distribution. This study investigated the regression results for the Typhoon Meami occurred in 2003 as an example. As results, three regression lines with the radar rainfall as the independent variable were found to underestimate the rainfall, while those with the rain gauge rainfall as the independent variable to overestimate. Among three types of regression curves considered, the result for the average was most appropriate. However this case was found to be inferior to the regression line passing the origin under the assumption of the normal distribution with the rain gauge rainfall as its independent variable. So it was hard to conclude that the consideration of the log-normality on the correction of radar rainfall is beneficial.