- 홈
- 문헌정보
- 논문집
문헌정보
논문집
- 저자명
- 김태정;반우식;권현한
- 발행사
- 한국수자원학회
- 수록사항
- 한국수자원학회논문집, Vol.52 No.9(2019-09)
- 페이지
- 시작페이지(589)
- ISSN
- 1226-6280
Various applications of radar rainfall data have been actively employed in the field of hydro-meteorology. Since radar rainfall is estimated by using predefined reflectivity-rainfall intensity relationships, they may not have sufficient reproducibility of observations. In this study, a generalized linear model is introduced to better capture the Z-R relationship in the context of bias correction within a Bayesian regression framework. The bias-corrected radar rainfall with the generalized linear model is more accurate than the widely used mean field bias correction method. In addition, we analyzed variability of the bias correction parameters under various geomorphological conditions such as the height of the weather station and the separation distance from the radar. The identified relationship is finally used to derive a regionalized formula which can provide bias correction factors over the entire watershed. It can be concluded that the bias correction parameters and regionalized method obtained from this study could be useful in the field of radar hydrology.
