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首页> 外文期刊>Journal of the Atmospheric Sciences >Drizzle in stratiform boundary layer clouds. Part II: Microphysical aspects
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Drizzle in stratiform boundary layer clouds. Part II: Microphysical aspects

机译:在层状边界层云中下毛毛雨。第二部分:微观物理方面

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This is the second of two observational papers examining drizzle in stratiform boundary layer clouds. Part I details the vertical and horizontal structure of cloud and drizzle parameters, including some bulk microphysical variables. In this paper, the focus is on the in situ size-resolved microphysical measurements, particularly of drizzle drops (r > 20 mu m). Layer-averaged size distributions of drizzle drops within cloud are shown to be well represented using either a truncated exponential or a truncated lognormal size distribution. The size-resolved microphysical measurements are used to estimate autoconversion and accretion rates by integration of the stochastic collection equation (SCE). These rates are compared with a number of commonly used bulk parameterizations of warm rain formation. While parameterized accretion rates agree well with those derived from the SCE initialized with observed spectra, the autoconversion rates seriously disagree in some cases. These disagreements need to be addressed in order to bolster confidence in large-scale numerical model predictions of the aerosol second indirect effect. Cloud droplet coalescence removal rates and mass and number fall rate relationships used in the bulk microphysical schemes are also compared, revealing some potentially important discrepancies. The relative roles of autoconversion and accretion are estimated by examination of composite profiles from the 12 flights. Autoconversion, although necessary for the production of drizzle drops, is much less important than accretion throughout the lower 80% of the cloud layer in terms of the production of drizzle liquid water. The SCE calculations indicate that the autoconversion rate depends strongly upon the cloud droplet concentration N-d such that a doubling of N-d would lead to a reduction in autoconversion rate of between 2 and 4.Radar reflectivity-precipitation rate (Z-R) relationships suitable for radar use are derived and are shown to be significantly biased in some cases by the undersampling of large (r > 200 mu m) drops with the 2D-C probe. A correction based upon the extrapolation to larger sizes using the exponential size distribution changes the Z-R relationship, leading to the conclusion that consideration should be given to sampling issues when examining higher moments of the drop size distribution in drizzling stratiform boundary layer clouds.
机译:这是检查层状边界层云中毛毛雨的两篇观察论文中的第二篇。第一部分详细介绍了云和细雨参数的垂直和水平结构,包括一些大量的微物理变量。在本文中,重点是就地尺寸分辨的微物理测量,特别是细雨滴(r> 20μm)。使用截断的指数或对数正态截断的大小分布,可以很好地表示云中细雨滴的层平均大小分布。大小分辨的微观物理测量值用于通过整合随机收集方程(SCE)来估计自动转换和吸积率。将这些比率与许多常用的暖雨形成的整体参数化进行比较。尽管参数化的吸积率与用观察到的光谱初始化的SCE衍生的吸积率非常吻合,但在某些情况下,自动转换率却严重不一致。这些分歧需要解决,以增强对气溶胶第二间接效应的大规模数值模型预测的信心。还比较了整体微物理方案中使用的云滴聚结去除率以及质量和数量下降率之间的关系,揭示了一些潜在的重要差异。通过检查来自12个航段的综合资料,可以估算自动转换和吸积的相对作用。尽管产生小雨滴是必需的,但自动转换在产生小雨液态水方面比在整个较低的80%的云层中积聚重要得多。 SCE计算表明,自动转换率在很大程度上取决于云滴浓度Nd,因此Nd的倍增将导致自动转换率降低2到4之间。适合雷达使用的雷达反射率-降水率(ZR)关系为在2D-C探针中对大液滴(r> 200μm)的欠采样,在某些情况下会产生明显的偏差。使用指数大小分布基于对较大大小的外推法进行的校正会更改Z-R关系,得出的结论是,在检查细雨层状边界层云中的液滴大小分布的较高矩时,应考虑采样问题。

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