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霍娟, 段民征, 韩瑽琤, 等. 2024. 三频雷达遥感云参数能力的模拟与初步分析[J]. 大气科学, 48(4): 1−11. DOI: 10.3878/j.issn.1006-9895.2212.22132
引用本文: 霍娟, 段民征, 韩瑽琤, 等. 2024. 三频雷达遥感云参数能力的模拟与初步分析[J]. 大气科学, 48(4): 1−11. DOI: 10.3878/j.issn.1006-9895.2212.22132
HUO Juan, DUAN Minzheng, HAN Congcheng, et al. 2024. Triple-frequency Radar Simulations for Liquid Cloud Droplets [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 48(4): 1−11. DOI: 10.3878/j.issn.1006-9895.2212.22132
Citation: HUO Juan, DUAN Minzheng, HAN Congcheng, et al. 2024. Triple-frequency Radar Simulations for Liquid Cloud Droplets [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 48(4): 1−11. DOI: 10.3878/j.issn.1006-9895.2212.22132

三频雷达遥感云参数能力的模拟与初步分析

Triple-frequency Radar Simulations for Liquid Cloud Droplets

  • 摘要: 短波雷达在观测云内粒子微物理属性方面具有优势,是探测全球水循环重要环节——云的强有力探测工具。本文简要回顾了云雷达探测的理论基础,从雷达探测基本原理出发,借助小粒子电磁波散射理论和方法,建立了一套多波长雷达观测正演(前向)模型(Radar Simulation Package,简称RSP),并利用RSP对当前主流的三种典型波长X波段(9.5 GHz、3 cm)、Ka波段(35 GHz、8 mm)和W波段(94 GHz、3 mm)短波雷达的遥感探测能力开展了模拟分析。通过与瑞利法计算结果相比较,证实RSP法的计算精度可靠准确。基于RSP法模拟结果,建立了液水含量(LWC)与雷达反射率因子(Ze)、有效粒子半径(re)与Ze之间幂指数形式的反演关系;建立了利用不同云层高度处两波长的反射率因子差值,反演云层平均LWC的反演关系等。本文工作对如何利用雷达探测参数提取液态云滴的微物理参数方法进行了探讨,一方面为多波长雷达探测云特征获得更准确的理论认识,另一方面为云微物理参数的反演提供理论依据和分析手段。

     

    Abstract: Short-wavelength radar excels in observing the microphysical properties of cloud particles, a vital component of the global water cycle. It is a powerful device for cloud detection. This paper briefly reviews the theoretical foundation of short-wave cloud radar detection. By leveraging the basic principle of radar detection and the electromagnetic scattering theory of small particles, we have established a radar forward model (radar simulation package, RSP). This model is designed for multiwavelength radars and different cloud particle types. The RSP is used to simulate and analyze the detection capabilities of three short-wave radars: X band (9.5 GHz, 3 cm), Ka band (35 GHz, 8 mm), and W band (94 GHz, 3 mm). Compared with the Rayleigh method, the RSP method proves to be reliable and accurate. Through simulation results generated by the RSP, we have established a power-law relationship between liquid water content (LWC) and radar reflectivity factor (Ze), as well as between effective particle radius (re) and Ze. Furthermore, we have developed a retrieval method for average LWC. This method uses the Ze difference between two wavelengths at the base and top of the cloud. We have discussed methods of using various radar parameters to extract the microphysical parameters of liquid cloud droplets. These methods provide an accurate theoretical understanding of cloud characteristics as detected by multiwavelength radars. The RSP serves as an analysis tool for simulating radar detection and inverting cloud microphysical parameters.

     

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