doi:  10.3878/j.issn.1006-9895.1805.17289
X波段双线偏振多普勒雷达共极化差分相移资料的滤波方法研究

A Study of Method for Filtering Copolar Differential Phase of X-Band Dual-Polarimetric Doppler Weather Radar
摘要点击 460  全文点击 264  投稿时间:2017-11-12  
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基金:  国家自然科学基金项目41875169,北京市自然科学基金项目8141002,国家重点基础研究发展计划(973计划)项目2014CB441401、2014CB441403,成都市科技惠民项目2016-HM01-00038-SF,成都市科技治霾新技术新产品应用示范项目2018-ZM01-00038-SN,四川省教育厅项目16CZ0021、17ZB0087
中文关键词:  共极化差分相移  滤波  X波段双线偏振多普勒雷达
英文关键词:  Copolar differential phase  Filter  X-band dual-polarimetric Doppler radar
                 
作者中文名作者英文名单位
赵川鸿ZHAO Chuanhong成都信息工程大学大气科学学院高原大气与环境四川省重点实验室, 成都 610225
周筠珺ZHOU Yunjun成都信息工程大学大气科学学院高原大气与环境四川省重点实验室, 成都 610225;南京信息工程大学气象灾害预警预报与评估协同创新中心, 南京 210044
肖辉XIAO Hui中国科学院大气物理研究所中国科学院云降水物理与强风暴重点实验室, 北京 100029;中国科学院大学, 北京 100049
赵鹏国ZHAO Pengguo成都信息工程大学大气科学学院高原大气与环境四川省重点实验室, 成都 610225
张晓玲ZHANG Xiaoling北京市气象信息中心, 北京 100089
胡天洁HU Tianjie北京市气象信息中心, 北京 100089
引用:赵川鸿,周筠珺,肖辉,赵鹏国,张晓玲,胡天洁.2019.X波段双线偏振多普勒雷达共极化差分相移资料的滤波方法研究[J].大气科学,43(2):285-296,doi:10.3878/j.issn.1006-9895.1805.17289.
Citation:ZHAO Chuanhong,ZHOU Yunjun,XIAO Hui,ZHAO Pengguo,ZHANG Xiaoling,HU Tianjie.2019.A Study of Method for Filtering Copolar Differential Phase of X-Band Dual-Polarimetric Doppler Weather Radar[J].Chinese Journal of Atmospheric Sciences (in Chinese),43(2):285-296,doi:10.3878/j.issn.1006-9895.1805.17289.
中文摘要:
      为了提高X波段双线偏振多普勒雷达的共极化差分相移ΨC质量,利用714XDP-A型车载X波段双线偏振多普勒雷达在北京顺义的探测资料,构造了一个综合滤波方法。将其应用于滤波处理,得到结果:(1)综合小波去噪滤波方法在滤波处理及差分传播相移率KDP的估算方面相较于中值滤波、综合滑动平均、综合卡尔曼滤波及综合有限脉冲响应(FIR)滤波都是最优秀的,其能较好地保留原始ΨC平均趋势及细节特征(偏差基本在±2°可信范围内,部分区域由于对原始ΨC细节特征的保留会略有超出),避免探测误差零值对滤波产生的影响(误差零值订正值回归平均趋势水平,偏差在±2°可信范围内),对原始ΨC距离廓线的平滑程度达到了94%~97%[平滑了超出±1.5° Gate-1(Gate表示雷达距离库)的波动,对±1.5° Gate-1内波动保留];(2)估算的KDP整体在±5° km-1边界阈值内,避免了探测误差零值、环境噪声和δKDP估算产生的误差影响,KDP对较强降水指示明显(在回波强度30 dBZZH < 37 dBZ的层积云降水中KDP普遍大于0.25° km-1,峰值可达到4.3° km-1;在回波强度30 dBZZH < 50 dBZ的积雨云降水中KDP普遍大于0.1° km-1,峰值可达到1.95° km-1)。本文工作对于降水估测和水成物粒子识别有着改善效果,这对雷暴天气预警预报具备重要意义。
Abstract:
      Measurements of the 714XDP-A X-band dual-polarimetric Doppler radar located at Shunyi of Beijing are used to develop an integrated filter method that can improve the quality of the copolar differential phase ΨC measured by X-band dual-polarimetric Doppler radar. Application of the integrated filter method shows that:(1) The integrated wavelet de-noising method is the best and better than the median, integrated mean, integrated Kalman and integrated FIR (Finite Impulse Response) filters. It retains the mean trend of raw ΨC range profiles and details[deviations are within ±2°, which indicates the results are reliable, although the values may slightly exceed the range in several gates (the numbers of radar range profile)]. Furthermore, the influence of zero value caused by measurement errors on the filtered results is avoided (the corrected value for zero value in the measurements returns to the level of mean trend with deviations within ±2°, which is regarded as credible). In addition, the fluctuation index of ΨC range profiles filtered by integrated wavelet de-noising can be reduced by 94%-97% compared to raw ΨC range profiles, and the smoothing effect is remarkable (smoothing the fluctuations exceeding ±1.5° Gate-1, and retaining the fluctuations inside ±1.5°Gate-1). (2) The estimated specific differential propagation phase (KDP) are within the range of ±5° km-1, and influences caused by zero errors in the measurements and δ and environment noises are avoided. In addition, KDP can well indicate strong precipitation (for precipitation in stratocumulus clouds, radar reflectivity is usually within 30 dBZZH < 37 dBZ, and KDP generally is greater than 0.25° km-1 with the maximum of 4.3° km-1; for precipitation in cumulonimbus clouds, radar reflectivity usually is within 30 dBZZH < 50 dBZ, and KDP is generally greater than 0.1° km-1 with the maximum of 1.95° km-1). This study is beneficial to rainfall estimation and hydrometeors classification, which is important for thunderstorm weather forecast.
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