The Adjustment of Radar Precipitation Estimation Based on the Kriging Method

크리깅 방법을 기반으로 한 레이더 강우강도 오차 조정

  • Kim, Kwang-Ho (Department of Environmental Atmospheric Sciences, Pukyong National University) ;
  • Kim, Min-seong (Department of Environmental Atmospheric Sciences, Pukyong National University) ;
  • Lee, Gyu-Won (Department of Astronomy and Atmospheric Sciences, Kyungpook National University) ;
  • Kang, Dong-Hwan (Geo-Sciences Institute, Pukyong National University) ;
  • Kwon, Byung-Hyuk (Department of Environmental Atmospheric Sciences, Pukyong National University)
  • 김광호 (부경대학교 환경대기과학과) ;
  • 김민성 (부경대학교 환경대기과학과) ;
  • 이규원 (경북대학교 천문대기과학과) ;
  • 강동환 (부경대학교 지구과학연구소) ;
  • 권병혁 (부경대학교 환경대기과학과)
  • Received : 2012.11.10
  • Accepted : 2013.01.09
  • Published : 2013.02.28


Quantitative precipitation estimation (QPE) is one of the most important elements in meteorological and hydrological applications. In this study, we adjusted the QPE from an S-band weather radar based on co-kriging method using the geostatistical structure function of error distribution of radar rainrate. In order to estimate the accurate quantitative precipitation, the error of radar rainrate which is a primary variable of co-kriging was determined by the difference of rain rates from rain gauge and radar. Also, the gauge rainfield, a secondary variable of co-kriging is derived from the ordinary kriging based on raingauge network. The error distribution of radar rain rate was produced by co-kriging with the derived theoretical variogram determined by experimental variogram. The error of radar rain rate was then applied to the radar estimated precipitation field. Locally heavy rainfall case during 6-7 July 2009 is chosen to verify this study. Correlation between adjusted one-hour radar rainfall accumulation and rain gauge rainfall accumulation improved from 0.55 to 0.84 when compared to prior adjustment of radar error with the adjustment of root mean square error from 7.45 to 3.93 mm.


Supported by : 기상청


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