A quality evaluation criterion for radar rain-rate data

Chulsang Yoo, Jungsoo Yoon, Jungho Kim, Cheolsoon Park, Changhyun Jun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


This study proposed a radar rain-rate quality criterion (RRQC), a measure of goodness for the radar rain-rate. The RRQC proposed is based on the similar concept of total variance in the statistical analysis of variance, which considers both the bias and variability of radar rain-rate with respect to the raingauge rain-rate. The RRQC was estimated for three storm events with the raw radar data, along with improved versions based on G/R correction and merging by co-Kriging. Additionally, these radar data were applied to the runoff analysis of the Choongju Dam Basin, Korea. By investigating the relation between the RRQC in the rain-rate input and the errors in the runoff output, a minimum quality of radar rain-rate applicable to the rainfall-runoff analysis was explored.

Original languageEnglish
Title of host publicationWeather Radar and Hydrology
Number of pages6
Publication statusPublished - 2012
EventInternational Symposium on Weather Radar and Hydrology, WRaH 2011 - Exeter, United Kingdom
Duration: 2011 Apr 182011 Apr 21

Publication series

NameIAHS-AISH Publication
ISSN (Print)0144-7815


OtherInternational Symposium on Weather Radar and Hydrology, WRaH 2011
Country/TerritoryUnited Kingdom


  • Co-Kriging
  • G/r ratio
  • RRQC
  • Radar rain-rate
  • Rainfall-runoff analysis

ASJC Scopus subject areas

  • General Earth and Planetary Sciences


Dive into the research topics of 'A quality evaluation criterion for radar rain-rate data'. Together they form a unique fingerprint.

Cite this