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http://dx.doi.org/10.12652/Ksce.2011.31.5B.393

Decision of G/R Ratio for the Correction of Mean-Field Bias of Radar Rainfall and Linear Regression Problem  

Yoo, Chulsang (고려대학교 공과대학 건축사회환경공학부)
Park, Cheolsoon (고려대학교 건축사회환경공학부)
Yoon, Jungsoo (고려대학교 건축사회환경공학부)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.5B, 2011 , pp. 393-403 More about this Journal
Abstract
This study theoretically reviewed the empirical G/R ratio by considering three regression and trend lines; the general linear regression curve, linear regression curve passing the origin, and the line passing the origin and the mass center of observed data. This review included the problem of choosing the independent variable and that of considering the zero measurements. This review result was also applied to the Typhoon Maemi in 2003 for their evaluation. Additionally, those regression and trend lines were compared using the RMSE between the corrected radar rainfall and observed rain gauge rainfall to select the most appropriate G/R ratio. Summarizing the results is as follows. First, the results of selecting the rain gauge rainfall as the independent variable were found better than the opposite case. Second, the effect of zero measurements varies depending on the structure of radar and rain gauge rainfall. Finally, the results from the comparison of three regression and trend lines shows that the slope of the regression line passing the origin with its independent variable of rain gauge rainfall would be used most appropriately for the G/R ratio, especially when the corrected radar rainfall is used for the flood analysis. The effect of zero measurements in this case was found not so significant.
Keywords
G/R ratio; radar rainfall; rain gauge rainfall; regression line;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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