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影响天气雷达反射率因子准确测量的关键因素分析及其标定效果检验

徐黄飞 余洋 胡东明 刘艳中 扬朝晖 周嘉健 曾慧明

气象2025,Vol.51Issue(6):735-743,9.
气象2025,Vol.51Issue(6):735-743,9.DOI:10.7519/j.issn.1000-0526.2025.021401

影响天气雷达反射率因子准确测量的关键因素分析及其标定效果检验

Analysis of Key Factors Affecting Accurate Measurement of Weather Radar Reflectivity Factor and the Verification of Their Calibration Effectiveness

徐黄飞 1余洋 2胡东明 1刘艳中 1扬朝晖 3周嘉健 1曾慧明1

作者信息

  • 1. 广东省气象数据中心,广州 510060
  • 2. 华云敏视达雷达(北京)有限公司,北京 100085
  • 3. 广东省阳江市气象局,阳江 529500
  • 折叠

摘要

Abstract

Multiple key factors affect the accuracy of weather radar reflectivity factor measurement.Among them,radar transmission power is the key variable that is most prone to fluctuation in radar performance parameters,affecting the accuracy of radar measurement.The dynamic range of the receiver is a key indi-cator for measuring the stability of the receiving channel,and directly impacts the measurement results of reflectivity factor.An excellent weather radar system should have functions such as online monitoring,calibration and correction of key performance parameters.This paper statistically analyzes data samples collected over the years 2020-2024 from 12 networked CINRAD/SA-D radars in Guangdong,and tests the effectiveness of CINRAD/SA-D radar reflectivity factor calibration and online correction.The necessity of offline calibration of networked radar is demonstrated through the comparison and stability analysis of key performance parameters.Additionally,the first volume scan data collected when the radar is powered on can easily have quality problems,which should be paid attention to in radar maintenance and data appli-cation.So,we recommend that the mechanism and flow of this kind of weather radar reflectivity factor cal-ibration be used for the phased array weather radars.

关键词

CINRAD/SA-D雷达/雷达气象方程/反射率因子标定/发射功率/动态范围

Key words

CINRAD/SA-D radar/weather radar equation/reflectivity factor calibration/transmission power/dynamic range

分类

天文与地球科学

引用本文复制引用

徐黄飞,余洋,胡东明,刘艳中,扬朝晖,周嘉健,曾慧明..影响天气雷达反射率因子准确测量的关键因素分析及其标定效果检验[J].气象,2025,51(6):735-743,9.

基金项目

广东省重点领域研发计划项目(2020B1111200001)、国家自然科学基金项目(42075190)、广东省基础与应用基础研究基金项目(2021B1515310001)和中国气象局创新发展专项(CXFZ2024J058)共同资助 (2020B1111200001)

气象

OA北大核心

1000-0526

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