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A Quality Assurance Procedure and Evaluation of Rainfall Estimates for C-Band Polarimetric Radar


doi: 10.1007/s00376-011-0172-y

  • A mobile C-band dual polarimetric weather radar J type (PCDJ), which adopts simultaneous transmission and simultaneous reception (STSR) of horizontally and vertically polarized signals, was first developed in China in 2008. It was deployed in the radar observation plan in the South China Heavy Rainfall Experiment (SCHeREX) in the summer of 2008 and 2009, as well as in Tropical Western Pacific Ocean Observation Experiments and Research on the Predictability of High Impact Weather Events from 2008 to 2010 in China (TWPOR). Using the observation data collected in these experiments, the radar systematic error and its sources were analyzed in depth. Meanwhile an algorithm that can smooth differential propagation phase (ФDP) for estimating the high-resolution specific differential phase (KDP) was developed. After attenuation correction of reflectivity in horizontal polarization (ZH) and differential reflectivity (ZDR) of PCDJ radar by means of KDP, the data quality was improved significantly. Using quality-controlled radar data, quantitative rainfall estimation was performed, and the resutls were compared with rain-gauge measurements. A synthetic ZH/KDP-based method was analyzed. The results suggest that the synthetic method has the advantage over the traditional ZH-based method when the rain rate is >5 mm h-1. The more intensive the rain rates, the higher accuracy of the estimation.
  • [1] LI Gang, HE Guangxin, Xiaolei ZOU*, and Peter Sawin RAY, 2014: A Velocity Dealiasing Scheme for C-band Weather Radar Systems, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 17-26.  doi: 10.1007/s00376-013-2251-8
    [2] LIU Liping, ZHUANG Wei, ZHANG Pengfei, MU Rong, 2010: Convective Scale Structure and Evolution of a Squall Line Observed by C-Band Dual Doppler Radar in an Arid Region of Northwestern China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1099-1109.  doi: 10.1007/s00376-009-8217-1
    [3] WU Chong, and LIU Liping, 2014: Comparison of the Observation Capability of an X-band Phased-array Radar with an X-band Doppler Radar and S-band Operational Radar, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 814-824.  doi: 10.1007/s00376-013-3072-5
    [4] Yang CAO, Debin SU, Xingang FAN, Hongbin CHEN, 2019: Evaluating the Algorithm for Correction of the Bright Band Effects in QPEs with S-, C- and X-Band Dual-Polarized Radars, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 41-54.  doi: 10.1007/s00376-018-8032-7
    [5] Suping NIE, Tongwen WU, Yong LUO, Xueliang DENG, Xueli SHI, Zaizhi WANG, Xiangwen LIU, Jianbin HUANG, 2016: A Strategy for Merging Objective Estimates of Global Daily Precipitation from Gauge Observations, Satellite Estimates, and Numerical Predictions, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 889-904.  doi: 10.1007/s00376-016-5223-y
    [6] Eric C. H. CHOW, Richard C. Y. LI, Wen ZHOU, 2018: Influence of Tropical Cyclones on Hong Kong Air Quality, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1177-1188.  doi: 10.1007/s00376-018-7225-4
    [7] ZHONG Lingzhi, LIU Liping, FENG Sheng, GE Runsheng, ZHANG Zhe, 2011: A 35-GHz Polarimetric Doppler Radar and Its Application for Observing Clouds Associated with Typhoon Nuri, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 945-956.  doi: 10.1007/s00376-010-0073-5
    [8] Chong WU, Liping LIU, Ming WEI, Baozhu XI, Minghui YU, 2018: Statistics-based Optimization of the Polarimetric Radar Hydrometeor Classification Algorithm and Its Application for a Squall Line in South China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 296-316.  doi: 10.1007/s00376-017-6241-0
    [9] Marcus JOHNSON, Youngsun JUNG, Daniel DAWSON, Timothy SUPINIE, Ming XUE, Jongsook PARK, Yong-Hee LEE, 2018: Evaluation of Unified Model Microphysics in High-resolution NWP Simulations Using Polarimetric Radar Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 771-784.  doi: 10.1007/s00376-017-7177-0
    [10] Ma Zhenhua, Liu Guosheng, Liu Wei, 1985: PRINCIPAL STUDY OF THE FM RADAR FOR IMPROVING THE ACCURACY IN QUANTITATIVE RAINFALL RATE MEASUREMENT, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 341-346.  doi: 10.1007/BF02677250
    [11] Li Yinpeng, Ji Jinjun, 2001: Model Estimates of Global Carbon Flux between Vegetation and the Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 807-818.
    [12] ZHU Weijun, Kevin HAMILTON, 2008: Empirical Estimates of Global Climate Sensitivity: An Assessment of Strategies Using a Coupled GCM, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 339-347.  doi: 10.1007/s00376-008-0339-3
    [13] XU Yongfu, LI Yangchun, 2009: Estimates of Anthropogenic CO2 Uptake in a Global Ocean Model, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 265-274.  doi: 10.1007/s00376-009-0265-z
    [14] GE Cui, ZHANG Meigen, HAN Zhiwei, LIU Yanju, 2011: Episode Simulation of Asian Dust Storms with an Air Quality Modeling System, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 511-520.  doi: 10.1007/s00376-010-0091-3
    [15] LIAO Jie, WANG Bin, LI Qingxiang, 2014: A New Method for Quality Control of Chinese Rawinsonde Wind Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1293-1304.  doi: 10.1007/s00376-014-4030-6
    [16] Swapan MALLICK, Devajyoti DUTTA, Ki-Hong MIN, 2017: Quality Assessment and Forecast Sensitivity of Global Remote Sensing Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 371-382.  doi: 10.1007/s00376-016-6109-8
    [17] Joo-Wan CHA, Ki-Ho CHANG, Seong Soo YUM, Young-Jean CHOI, 2009: Comparison of the Bright Band Characteristics Measured by Micro Rain Radar (MRR) at a Mountain and a Coastal Site in South Korea, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 211-221.  doi: 10.1007/s00376-009-0211-0
    [18] Su-Bin OH, Yeon-Hee KIM, Ki-Hoon KIM, Chun-Ho CHO, Eunha LIM, 2016: Verification and Correction of Cloud Base and Top Height Retrievals from Ka-band Cloud Radar in Boseong, Korea, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 73-84.  doi: 10.1007/s00376-015-5058-y
    [19] Juan HUO, Yongheng BI, Daren Lü, Shu DUAN, 2019: Cloud Classification and Distribution of Cloud Types in Beijing Using Ka-Band Radar Data, ADVANCES IN ATMOSPHERIC SCIENCES, , 793-803.  doi: 10.1007/s00376-019-8272-1
    [20] Liping LIU, Jiafeng ZHENG, Jingya WU, 2017: A Ka-band Solid-state Transmitter Cloud Radar and Data Merging Algorithm for Its Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 545-558.  doi: 10.1007/s00376-016-6044-8

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Manuscript History

Manuscript received: 10 January 2012
Manuscript revised: 10 January 2012
通讯作者: 陈斌, bchen63@163.com
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A Quality Assurance Procedure and Evaluation of Rainfall Estimates for C-Band Polarimetric Radar

  • 1. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081,State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081,Shijiazhuang Meteorological Observatory, Shijiazhuang 050081

Abstract: A mobile C-band dual polarimetric weather radar J type (PCDJ), which adopts simultaneous transmission and simultaneous reception (STSR) of horizontally and vertically polarized signals, was first developed in China in 2008. It was deployed in the radar observation plan in the South China Heavy Rainfall Experiment (SCHeREX) in the summer of 2008 and 2009, as well as in Tropical Western Pacific Ocean Observation Experiments and Research on the Predictability of High Impact Weather Events from 2008 to 2010 in China (TWPOR). Using the observation data collected in these experiments, the radar systematic error and its sources were analyzed in depth. Meanwhile an algorithm that can smooth differential propagation phase (ФDP) for estimating the high-resolution specific differential phase (KDP) was developed. After attenuation correction of reflectivity in horizontal polarization (ZH) and differential reflectivity (ZDR) of PCDJ radar by means of KDP, the data quality was improved significantly. Using quality-controlled radar data, quantitative rainfall estimation was performed, and the resutls were compared with rain-gauge measurements. A synthetic ZH/KDP-based method was analyzed. The results suggest that the synthetic method has the advantage over the traditional ZH-based method when the rain rate is >5 mm h-1. The more intensive the rain rates, the higher accuracy of the estimation.

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