林正健,寇蕾蕾,郜海阳,陈垚,季凌潇,丁丕满. 2023. 星载毫米波雷达衰减估计仿真及敏感性分析. 气象学报,81(4):645-659. DOI: 10.11676/qxxb2023.20220181
引用本文: 林正健,寇蕾蕾,郜海阳,陈垚,季凌潇,丁丕满. 2023. 星载毫米波雷达衰减估计仿真及敏感性分析. 气象学报,81(4):645-659. DOI: 10.11676/qxxb2023.20220181
Lin Zhengjian, Kou Leilei, Gao Haiyang, Chen Yao, Ji Lingxiao, Ding Piman. 2023. Simulation and sensitivity analysis of attenuation estimates for spaceborne millimeter wave radars. Acta Meteorologica Sinica, 81(4):645-659. DOI: 10.11676/qxxb2023.20220181
Citation: Lin Zhengjian, Kou Leilei, Gao Haiyang, Chen Yao, Ji Lingxiao, Ding Piman. 2023. Simulation and sensitivity analysis of attenuation estimates for spaceborne millimeter wave radars. Acta Meteorologica Sinica, 81(4):645-659. DOI: 10.11676/qxxb2023.20220181

星载毫米波雷达衰减估计仿真及敏感性分析

Simulation and sensitivity analysis of attenuation estimates for spaceborne millimeter wave radars

  • 摘要: 星载毫米波雷达衰减严重,而不同云降水类型中所包含的云雨粒子微物理特性差异较大,其所造成的衰减影响差异也很明显。基于WRF模式模拟的不同云降水场景,利用星载毫米波雷达模拟器仿真得到衰减后的回波,并对云中粒子的衰减特性进行敏感性分析,说明引起衰减不确定性的重要影响因素。结果表明,仿真得到的衰减后回波与云廓线雷达(CPR)实测回波一致性较好,回波结构和强度近似,平均反射率因子廓线差异均在20%以内,衰减估计结果可靠有效。通过对衰减系数(K)进行敏感性分析发现,云雨粒子均对粒子谱分布中的含水量(W)最为敏感,中值体积直径(D0)的影响也较大,其变化可能引起雨滴衰减系数的平均相对误差达25%左右;雪和霰受密度参数(ab)的影响大于斜率参数(Λ),a引起的不确定性在25%以内。在相同滴谱参数的情况下,冰态和液态造成衰减系数的差异达90%左右。考虑到衰减对相态的高度敏感性,将基于相态分类的K-W关系应用于CPR实测个例衰减订正中,订正后的回波与波段校正后的星载双频测雨雷达(DPR)Ka波段探测回波强度接近,衰减订正的不确定性主要来自于液水含量反演结果与实际情况的差异。

     

    Abstract: Attenuation effect for spaceborne millimeter wave radar is severe. The microphysical properties of cloud and precipit- ation particles are quite different, and the attenuation effects caused by these different particles are different as well. Based on different cloud and precipitation scenarios simulated by the Weather Research and Forecasting model (WRF), the radar echoes after attenuation are obtained by a spaceborne millimeter wave radar simulator, and a sensitivity analysis of the attenuation characteristics of the particles is carried out to explain important factors that cause attenuation uncertainty. Results indicate that the simulated radar echoes after attenuation are in good agreement with the Cloud Profiling Radar (CPR) echoes. The echo structures and intensities are similar, and the differences in vertical profiles of the average reflectivity are within 20%. Through the sensitivity analysis of the attenuation coefficient (K), it is found that the attenuation caused by cloud and precipitation particles is most sensitive to water content (W) in the Particle Size Distribution (PSD), followed by the median volume diameter (D0). The change of D0 may cause the average relative error of the attenuation of rain to be around 25%. Snow and graupel are more affected by the density parameters (a and b) than by the slope parameter (Λ), and the uncertainty caused by a is approximately 25%. Under the same PSD parameters, the difference in attenuation coefficient caused by ice state and liquid state is approximately 90%. Considering the high sensitivity of attenuation to phase states, the K-W relationship in different phases is fitted for a cloud case measured by CPR. The attenuation correction result for the CPR is compared with the band correction result for the Dual-frequency Ka-band Precipitation Radar (DPR). It is found that the echo intensities of the two are quite close, and the uncertainty of the attenuation correction mainly comes from the difference between the inversion results of the liquid water content and the actual situation.

     

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