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.
| Original language | English |
|---|---|
| Title of host publication | IAHS-AISH Publication |
| Pages | 382-387 |
| Number of pages | 6 |
| Volume | 351 |
| Publication status | Published - 2012 Dec 1 |
| Event | International Symposium on Weather Radar and Hydrology, WRaH 2011 - Exeter, United Kingdom Duration: 2011 Apr 18 → 2011 Apr 21 |
Other
| Other | International Symposium on Weather Radar and Hydrology, WRaH 2011 |
|---|---|
| Country | United Kingdom |
| City | Exeter |
| Period | 11/4/18 → 11/4/21 |
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Keywords
- Co-Kriging
- G/r ratio
- Radar rain-rate
- Rainfall-runoff analysis
- RRQC
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
Cite this
A quality evaluation criterion for radar rain-rate data. / Yoo, Chulsang; Yoon, Jungsoo; Kim, Jungho; Park, Cheolsoon; Jun, Changhyun.
IAHS-AISH Publication. Vol. 351 2012. p. 382-387.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A quality evaluation criterion for radar rain-rate data
AU - Yoo, Chulsang
AU - Yoon, Jungsoo
AU - Kim, Jungho
AU - Park, Cheolsoon
AU - Jun, Changhyun
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
KW - Co-Kriging
KW - G/r ratio
KW - Radar rain-rate
KW - Rainfall-runoff analysis
KW - RRQC
UR - http://www.scopus.com/inward/record.url?scp=84883112451&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883112451&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883112451
SN - 9781907161261
VL - 351
SP - 382
EP - 387
BT - IAHS-AISH Publication
ER -