Case Studies
May 10, 2016

Evaluation of Error Indices of Radar Rain Rate Targeting Rainfall-Runoff Analysis

Publication: Journal of Hydrologic Engineering
Volume 21, Issue 9

Abstract

This study evaluates several error indices of the radar rain rate from the viewpoint of the accuracy of rainfall-runoff analysis. The error indices considered in this study are the mean error (ME), mean absolute error (MAE), normalized standard deviation (NSD), correlation coefficient (CC), bias (BS), and radar rain rate quality criterion (RRQC). These indices were analyzed using the concept of sum of squares (SS) and mean squares (MS) in the analysis of variance (ANOVA), which explains how the bias and random error of the radar rain rate are combined in an error index. Also, these error indices were linked to the errors in the runoff result, such as the total runoff volume, peak flow, and peak time. As an application, two dam basins in Korea were selected, the Chungju Dam basin and the Namgang Dam basin. The radar rain rates from Gwangdeoksan Radar and Gudeoksan Radar were used as input for the rainfall-runoff analysis. Six different rainfall events were applied to secure various rainfall types. As a result, it was found that ME, BS, and RRQC were linearly proportional to the errors in the runoff result. This result indicates that the bias plays a dominant role in the evaluation of the radar rain rate, targeting the rainfall-runoff analysis.

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Acknowledgments

This work was supported by the Basic Science Research Program, through the National Research Foundation of Korea, funded by the Ministry of Education (NRF-2013R1A1A2011012).

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 21Issue 9September 2016

History

Received: Dec 17, 2014
Accepted: Feb 4, 2016
Published online: May 10, 2016
Published in print: Sep 1, 2016
Discussion open until: Oct 10, 2016

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Authors

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Chulsang Yoo
Professor, School of Civil, Environmental, and Architectural Engineering, College of Engineering, Korea Univ., Seoul 136-713, Korea. E-mail: [email protected]
JungMo Ku
Ph.D. Candidate, School of Civil, Environmental, and Architectural Engineering, College of Engineering, Korea Univ., Seoul 136-713, Korea (corresponding author). E-mail: [email protected]
Jungsoo Yoon
Research Assistant Professor, School of Civil, Environmental, and Architectural Engineering, College of Engineering, Korea Univ., Seoul 136-713, Korea. E-mail: [email protected]
Jungho Kim
Research Associate, School of Civil, Environmental, and Architectural Engineering, College of Engineering, Korea Univ., Seoul 136-713, Korea. E-mail: [email protected]

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