Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network

The effects of attenuation correction in rainfall estimation with X-band dual-polarization radar were investigated with a dense rain gauge network. The calibration bias in reflectivity (ZH) was corrected using a self-consistency principle. The attenuation correction of ZH and the differential reflec...

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Main Authors: Young-A Oh, DaeHyung Lee, Sung-Hwa Jung, Kyung-Yeub Nam, GyuWon Lee
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2016/9716535
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author Young-A Oh
DaeHyung Lee
Sung-Hwa Jung
Kyung-Yeub Nam
GyuWon Lee
author_facet Young-A Oh
DaeHyung Lee
Sung-Hwa Jung
Kyung-Yeub Nam
GyuWon Lee
author_sort Young-A Oh
collection DOAJ
description The effects of attenuation correction in rainfall estimation with X-band dual-polarization radar were investigated with a dense rain gauge network. The calibration bias in reflectivity (ZH) was corrected using a self-consistency principle. The attenuation correction of ZH and the differential reflectivity (ZDR) were performed by a path integration method. After attenuation correction, ZH and ZDR were significantly improved, and their scatter plots matched well with the theoretical relationship between ZH and ZDR. The comparisons between the radar rainfall estimation and the rain gauge rainfall were investigated using the bulk statistics with different temporal accumulations and spatial averages. The bias significantly improves from 70% to 0% with R(ZH). However, the improvement with R(ZH,ZDR) was relatively small, from 3% to 1%. This indicated that rainfall estimation using a polarimetric variable was more robust at attenuation than was a single polarimetric variable method. The bias did not show improvement in comparisons between the temporal accumulations or the spatial averages in either rainfall estimation method. However, the random error improved from 68% to 25% with different temporal accumulations or spatial averages. This result indicates that temporal accumulation or spatial average (aggregation) is important to reduce random error.
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institution Kabale University
issn 1687-9309
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language English
publishDate 2016-01-01
publisher Wiley
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series Advances in Meteorology
spelling doaj-art-c8bb182542f04d8baa264ab8f39c47f62025-02-03T01:10:01ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/97165359716535Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge NetworkYoung-A Oh0DaeHyung Lee1Sung-Hwa Jung2Kyung-Yeub Nam3GyuWon Lee4Department of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of KoreaDepartment of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of KoreaRadar Analysis Division, Weather Radar Center, Korea Meteorological Administration, 61 16-Gil Yeouidaebangro, Dongjakgu, Seoul 07062, Republic of KoreaRadar Analysis Division, Weather Radar Center, Korea Meteorological Administration, 61 16-Gil Yeouidaebangro, Dongjakgu, Seoul 07062, Republic of KoreaDepartment of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of KoreaThe effects of attenuation correction in rainfall estimation with X-band dual-polarization radar were investigated with a dense rain gauge network. The calibration bias in reflectivity (ZH) was corrected using a self-consistency principle. The attenuation correction of ZH and the differential reflectivity (ZDR) were performed by a path integration method. After attenuation correction, ZH and ZDR were significantly improved, and their scatter plots matched well with the theoretical relationship between ZH and ZDR. The comparisons between the radar rainfall estimation and the rain gauge rainfall were investigated using the bulk statistics with different temporal accumulations and spatial averages. The bias significantly improves from 70% to 0% with R(ZH). However, the improvement with R(ZH,ZDR) was relatively small, from 3% to 1%. This indicated that rainfall estimation using a polarimetric variable was more robust at attenuation than was a single polarimetric variable method. The bias did not show improvement in comparisons between the temporal accumulations or the spatial averages in either rainfall estimation method. However, the random error improved from 68% to 25% with different temporal accumulations or spatial averages. This result indicates that temporal accumulation or spatial average (aggregation) is important to reduce random error.http://dx.doi.org/10.1155/2016/9716535
spellingShingle Young-A Oh
DaeHyung Lee
Sung-Hwa Jung
Kyung-Yeub Nam
GyuWon Lee
Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network
Advances in Meteorology
title Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network
title_full Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network
title_fullStr Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network
title_full_unstemmed Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network
title_short Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network
title_sort attenuation correction effects in rainfall estimation at x band dual polarization radar evaluation with a dense rain gauge network
url http://dx.doi.org/10.1155/2016/9716535
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