首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Cloud radar Doppler spectra in drizzling stratiform clouds: 2. Observations and microphysical modeling of drizzle evolution
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Cloud radar Doppler spectra in drizzling stratiform clouds: 2. Observations and microphysical modeling of drizzle evolution

机译:细雨层状云中的云雷达多普勒光谱:2.细雨演变的观测和微物理模拟

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In part I, the influence of cloud microphysics and dynamics on the shape of cloud radar Doppler spectra in warm stratiform clouds was discussed. The traditional analysis of radar Doppler moments was extended to include skewness and kurtosis as additional descriptors of the Doppler spectrum. Here, a short climatology of observed Doppler spectra moments as a function of the radar reflectivity at continental and maritime ARM sites is presented. The evolution of the Doppler spectra moments is consistent with the onset and growth of drizzle particles and can be used to assist modeling studies of drizzle onset and growth. Time-height radar observations are used to exhibit the coherency of the Doppler spectra shape parameters and demonstrate their potential to improve the interpretation and use of radar observations. In addition, a simplified microphysical approach to modeling the vertical evolution of the drizzle particle size distribution in warm stratiform clouds is described and used to analyze the observations. The formation rate of embryonic drizzle droplets due to the autoconversion process is not calculated explicitly; however, accretion and evaporation processes are explicitly modeled. The microphysical model is used as input to a radar Doppler spectrum forward model, and synthetic radar Doppler spectra moments are generated. Three areas of interest are studied in detail: early drizzle growth near the cloud top, growth by accretion of the well-developed drizzle, and drizzle depletion below the cloud base due to evaporation. The modeling results are in good agreement with the continental and maritime observations. This demonstrates that steady state one-dimensional explicit microphysical models coupled with a forward model and comprehensive radar Doppler spectra observations offer a powerful method to explore the vertical evolution of the drizzle particle size distribution.
机译:在第一部分中,讨论了云的微观物理学和动力学对温暖的层状云中云雷达多普勒光谱形状的影响。雷达多普勒矩的传统分析已扩展到包括偏度和峰度作为多普勒频谱的附加描述。在此,介绍了在大陆和海上ARM站点观测到的多普勒频谱矩随雷达反射率变化的简短气候。多普勒频谱矩的演变与毛毛雨颗粒的开始和生长是一致的,并且可以用于辅助对毛毛雨开始和生长的建模研究。时间高度雷达观测用于显示多普勒频谱形状参数的相干性,并展示其潜力,以改善雷达观测的解释和使用。此外,描述了一种简化的微物理方法,用于模拟温暖层状云中毛毛雨粒度分布的垂直演变,并将其用于分析观测结果。自转换过程导致的毛毛雨小滴的形成率尚未明确计算;但是,对吸积和蒸发过程进行了显式建模。将微物理模型用作雷达多普勒频谱正向模型的输入,并生成合成雷达多普勒频谱矩。详细研究了三个感兴趣的领域:云顶附近的细雨早期生长,发达的细雨的积聚而引起的增长以及云层下方由于蒸发而引起的细雨枯竭。模拟结果与大陆和海洋观测结果吻合良好。这表明稳态一维显式微物理模型与前向模型和全面的雷达多普勒光谱观测相结合,为探索毛毛雨粒径分布的垂直演变提供了一种有力的方法。

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