A quality evaluation criterion for radar rain-rate data
- Authors
- Yoo, Chulsang; Yoon, Jungsoo; Kim, Jungho; Park, Cheolsoon; Jun, Changhyun
- Issue Date
- 2012
- Publisher
- INT ASSOC HYDROLOGICAL SCIENCES
- Keywords
- radar rain-rate; RRQC; G/R ratio; co-Kriging; rainfall-runoff analysis
- Citation
- WEATHER RADAR AND HYDROLOGY, v.351, pp 382 - 387
- Pages
- 6
- Journal Title
- WEATHER RADAR AND HYDROLOGY
- Volume
- 351
- Start Page
- 382
- End Page
- 387
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/69680
- ISSN
- 0144-7815
- Abstract
- 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.
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