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基于功率谱的风廓线雷达回波强度定标方法

李丰 阮征 王红艳 葛润生

李丰, 阮征, 王红艳, 等. 基于功率谱的风廓线雷达回波强度定标方法. 应用气象学报, 2021, 32(3): 315-331 doi:  10.11898/1001-7313.20210305..
引用本文: 李丰, 阮征, 王红艳, 等. 基于功率谱的风廓线雷达回波强度定标方法. 应用气象学报, 2021, 32(3): 315-331 doi:  10.11898/1001-7313.20210305.
Li Feng, Ruan Zheng, Wang Hongyan, et al. A calibration method of wind profile radar echo intensity with doppler velocity spectrum. J Appl Meteor Sci, 2021, 32(3): 315-331. DOI:  10.11898/1001-7313.20210305.
Citation: Li Feng, Ruan Zheng, Wang Hongyan, et al. A calibration method of wind profile radar echo intensity with doppler velocity spectrum. J Appl Meteor Sci, 2021, 32(3): 315-331. DOI:  10.11898/1001-7313.20210305.

基于功率谱的风廓线雷达回波强度定标方法

DOI: 10.11898/1001-7313.20210305
资助项目: 

国家重点研发计划 2017YFC1501703

国家重点研发计划 2017YFC1404105

国家自然科学基金项目 41975046

中国气象科学研究院基本科研业务费项目 2019Z002

中国气象科学研究院科技发展基金 2020KJ021

详细信息
    通信作者:

    阮征, ruanz@cma.gov.cn

A Calibration Method of Wind Profile Radar Echo Intensity with Doppler Velocity Spectrum

  • 摘要:

    风廓线雷达已在我国得到大范围的业务布网应用,现有业务产品主要为风场信息。为了充分发挥风廓线雷达的作用,获取更多的天气过程信息,该文提出仅使用风廓线雷达返回信号功率谱进行数据定标(DCNP)的方法。使用雷达系统噪声功率对返回信号功率谱单位幅度进行标校计算,基于标校后的雷达探测功率谱分布数据计算回波强度功率谱密度分布、回波强度、大气折射率结构常数。利用2017年北京风廓线雷达、2016年南京风廓线雷达和2018年梅州风廓线雷达观测数据,对我国业务运行的3种主要型号风廓线雷达进行算法评估试验。定标方法的计算结果稳定,风廓线雷达不同探测模式之间的一致性较好。使用每个测站定标结果与相邻天气雷达数据进行比较,风廓线雷达回波强度定标结果与天气雷达也有较好的一致性。DCNP方法与基于信噪比(SNR)的强度计算方法进行比较,与SNR方法相比,DCNP方法定标结果更加稳定可靠。

  • 图  1  风廓线雷达DCNP流程图

    Fig. 1  Diagram of DCNP for wind profile radar

    图  2  DCNP定标后的回波强度谱密度

    Fig. 2  Spectral density of echo intensity calculated with DCNP for wind profile radars

    图  3  噪声温度引起的误差范围

    Fig. 3  Noise power deviation from noise temperature

    图  4  噪声幅度

    Fig. 4  Noise amplitude

    图  5  北京风廓线雷达(54399)观测的2017年8月22日05:00—17:00降水过程与天气雷达对比

    (a)DCNP回波强度,(b) RCSNR回波强度,(c)风廓线距离订正后SNR,(d)天气雷达回波强度

    Fig. 5  Precipitating clouds of Beijing wind profile radar(54399) and weather radar from 0500 UTC to 1700 UTC on 22 Aug 2017

    (a)wind profile radar echo intensity calculated with DCNP, (b)wind profile radar echo intensity calculated with RCSNR, (c)range-corrected wind profile radar SNR, (d)weather radar echo intensity

    图  6  南京风廓线雷达(58235)观测的2016年6月30日20:00—7月1日12:00降水过程与天气雷达对比

    (a)DCNP回波强度,(b)RCSNR回波强度,(c)风廓线距离订正后SNR,(d)天气雷达回波强度

    Fig. 6  Precipitating clouds of Nanjing wind profile radar(58235) and wheather radar from 2000 UTC 30 Jun to 1200 UTC 1 Jul in 2016

    (a)wind profile radar echo intensity calculated with DCNP, (b)wind profile radar echo intensity calculated with RCSNR, (c)range-corrected wind profile radar SNR, (d)weather radar echo intensity

    图  7  梅州风廓线雷达(59303)观测的2018年6月6日06:00—24:00降水过程与天气雷达对比

    (a)DCNP回波强度,(b)RCSNR回波强度,(c)风廓线距离订正后SNR,(d)天气雷达回波强度

    Fig. 7  Precipitating clouds of Meizhou wind profile radar(59303) and weather radar from 0600 UTC to 2400 UTC on 6 Jun in 2018

    (a)wind profile radar echo intensity calculated with DCNP, (b)wind profile radar echo intensity calculated with RCSNR, (c)range-corrected wind profile radar SNR, (d)weather radar echo intensity

    图  8  DCNP,RCSNR方法得到的同一风廓线雷达不同模式一致性对比

    Fig. 8  Comparison between different modes from the same wind profile radar using DCNP and RCSNR

    图  9  风廓线雷达定标结果与天气雷达对比

    Fig. 9  Comparison of echo intensity between wind profile radars and weather radars

    图  10  DCNP与RCSNR方法不同模式对比

    Fig. 10  Comparison in different modes between DCNP and RCSNR

    图  11  降水过程噪声幅度值平均值随高度的分布

    Fig. 11  Average noise amplitude distribution under rainy condition

    图  12  双峰谱湍流区与降水回波强度对比

    Fig. 12  Comparison of air turbulence and precipitation echo intensity in double peak spectrum

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  • 收稿日期:  2021-02-09
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