A quality evaluation criterion for radar rain-rate data

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

A quality evaluation criterion for radar rain-rate data

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

School of Civil, Environmental and Architectural Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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	Weather Radar and Hydrology
Pages	382-387
Number of pages	6
Publication status	Published - 2012
Event	International Symposium on Weather Radar and Hydrology, WRaH 2011 - Exeter, United Kingdom Duration: 2011 Apr 18 → 2011 Apr 21

Publication series

Name	IAHS-AISH Publication
Volume	351
ISSN (Print)	0144-7815

Other

Other	International Symposium on Weather Radar and Hydrology, WRaH 2011
Country	United Kingdom
City	Exeter
Period	11/4/18 → 11/4/21

Keywords

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

ASJC Scopus subject areas

Earth and Planetary Sciences(all)

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Cite this

Yoo, C., Yoon, J., Kim, J., Park, C., & Jun, C. (2012). A quality evaluation criterion for radar rain-rate data. In Weather Radar and Hydrology (pp. 382-387). (IAHS-AISH Publication; Vol. 351).

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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.",

keywords = "Co-Kriging, G/r ratio, RRQC, Radar rain-rate, Rainfall-runoff analysis",

author = "Chulsang Yoo and Jungsoo Yoon and Jungho Kim and Cheolsoon Park and Changhyun Jun",

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AU - Kim, Jungho

AU - Park, Cheolsoon

AU - Jun, Changhyun

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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.

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KW - Radar rain-rate

KW - Rainfall-runoff analysis

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