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http://dx.doi.org/10.3741/JKWRA.2009.42.8.659

Adjustment of the Mean Field Rainfall Bias by Clustering Technique  

Kim, Young-Il (School of Civil and Environmental Engineering, Yonsei Univ.)
Kim, Tae-Soon (School of Civil and Environmental Engineering, Yonsei Univ.)
Heo, Jun-Haeng (School of Civil and Environmental Engineering, Yonsei Univ.)
Publication Information
Journal of Korea Water Resources Association / v.42, no.8, 2009 , pp. 659-671 More about this Journal
Abstract
Fuzzy c-means clustering technique is applied to improve the accuracy of G/R ratio used for rainfall estimation by radar reflectivity. G/R ratio is computed by the ground rainfall records at AWS(Automatic Weather System) sites to the radar estimated rainfall from the reflectivity of Kwangduck Mt. radar station with 100km effective range. G/R ratio is calculated by two methods: the first one uses a single G/R ratio for the entire effective range and the other two different G/R ratio for two regions that is formed by clustering analysis, and absolute relative error and root mean squared error are employed for evaluating the accuracy of radar rainfall estimation from two G/R ratios. As a result, the radar rainfall estimated by two different G/R ratio from clustering analysis is more accurate than that by a single G/R ratio for the entire range.
Keywords
radar rainfall; mean field bias; fuzzy c-means clustering; G/R bias adjustment;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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