Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan

Complex terrain poses significant challenges to the radar based quantitative precipitation estimation (QPE) because of blockages to the lower tilts of radar observations. The blockages often force the use of higher tilts data to estimate precipitation at the ground and result in errors due to vertic...

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Main Authors: Yadong Wang, Jian Zhang, Pao-Liang Chang, Carrie Langston, Brian Kaney, Lin Tang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2016/4294271
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spelling doaj-cf847d915534460c96a5fa520a251d332020-11-24T23:02:32ZengHindawi LimitedAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/42942714294271Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of TaiwanYadong Wang0Jian Zhang1Pao-Liang Chang2Carrie Langston3Brian Kaney4Lin Tang5Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USANOAA/OAR National Severe Storms Laboratory, Norman, OK 73072, USACentral Weather Bureau, Taipei, TaiwanCooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USACooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USACooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USAComplex terrain poses significant challenges to the radar based quantitative precipitation estimation (QPE) because of blockages to the lower tilts of radar observations. The blockages often force the use of higher tilts data to estimate precipitation at the ground and result in errors due to vertical variations of the radar variables. To obtain accurate radar QPEs in the subtropical complex terrain of Taiwan, a vertically corrected composite algorithm (VCCA) was developed for two C-band polarimetric radars. The new algorithm corrects higher tilt radar variables with the vertical profile of reflectivity (VPR) or vertical profile of specific differential phase (VPSDP) and estimates rainfall rate at the ground through an automated combination of R-Z and R-KDP relations. The VCCA was assessed with three precipitation cases of different regimes including typhoon, mei-yu, and summer stratiform precipitation events. The results showed that a combination of R-Z and R-KDP relations provided more accurate QPEs than each alone because R-Z provides better rainfall estimates for light rains and R-KDP relation is more suitable for heavy rains. The vertical profile corrections for reflectivity and specific differential phase significantly reduced radar QPE errors caused by inadequate sampling of the orographic enhancement of precipitation near the ground.http://dx.doi.org/10.1155/2016/4294271
collection DOAJ
language English
format Article
sources DOAJ
author Yadong Wang
Jian Zhang
Pao-Liang Chang
Carrie Langston
Brian Kaney
Lin Tang
spellingShingle Yadong Wang
Jian Zhang
Pao-Liang Chang
Carrie Langston
Brian Kaney
Lin Tang
Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan
Advances in Meteorology
author_facet Yadong Wang
Jian Zhang
Pao-Liang Chang
Carrie Langston
Brian Kaney
Lin Tang
author_sort Yadong Wang
title Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan
title_short Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan
title_full Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan
title_fullStr Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan
title_full_unstemmed Operational C-Band Dual-Polarization Radar QPE for the Subtropical Complex Terrain of Taiwan
title_sort operational c-band dual-polarization radar qpe for the subtropical complex terrain of taiwan
publisher Hindawi Limited
series Advances in Meteorology
issn 1687-9309
1687-9317
publishDate 2016-01-01
description Complex terrain poses significant challenges to the radar based quantitative precipitation estimation (QPE) because of blockages to the lower tilts of radar observations. The blockages often force the use of higher tilts data to estimate precipitation at the ground and result in errors due to vertical variations of the radar variables. To obtain accurate radar QPEs in the subtropical complex terrain of Taiwan, a vertically corrected composite algorithm (VCCA) was developed for two C-band polarimetric radars. The new algorithm corrects higher tilt radar variables with the vertical profile of reflectivity (VPR) or vertical profile of specific differential phase (VPSDP) and estimates rainfall rate at the ground through an automated combination of R-Z and R-KDP relations. The VCCA was assessed with three precipitation cases of different regimes including typhoon, mei-yu, and summer stratiform precipitation events. The results showed that a combination of R-Z and R-KDP relations provided more accurate QPEs than each alone because R-Z provides better rainfall estimates for light rains and R-KDP relation is more suitable for heavy rains. The vertical profile corrections for reflectivity and specific differential phase significantly reduced radar QPE errors caused by inadequate sampling of the orographic enhancement of precipitation near the ground.
url http://dx.doi.org/10.1155/2016/4294271
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