@inproceedings{b5b44353603042be9e90521557f104c8,
title = "A quality evaluation criterion for radar rain-rate data",
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",
year = "2012",
language = "English",
isbn = "9781907161261",
series = "IAHS-AISH Publication",
pages = "382--387",
booktitle = "Weather Radar and Hydrology",
note = "International Symposium on Weather Radar and Hydrology, WRaH 2011 ; Conference date: 18-04-2011 Through 21-04-2011",
}