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Analytical estimation of cloud droplet nucleation based on an underlying aerosol population

机译:基于潜在气溶胶种群的云滴成核分析估计

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In this paper, we describe an analytical approach to the approximation of the nucleation rate of cloud condensation nuclei (CCN) in an updraught. This approach is developed as a subgrid parametrization for numerical models whose vertical grid structure prohibits the resolution of supersaturation and thence CCN activation.rnThe method used is a simple extension to the upper bound approximation of Twomey (1959), and follows a similar procedure to that adopted by Cohard et al. (1998). However, unlike these approaches to the problem, we incorporate a dependence upon the physicochemical properties of an underlying dry aerosol population which is not constrained to be chosen a priori. The parametrization outlined here is also able to respond to a multimodal representation of the underlying dry aerosol spectrum. Each mode of this spectrum can further have different chemical characteristics and as such could be suitable for use in a coupled cloud-chemistry model whereby each mode of the aerosol distribution is free to evolve independently. The results of the parametrization calculated using a range of properties of the dry aerosol are validated against those from a more detailed parcel model.
机译:在本文中,我们描述了一种解析方法,用于近似上溢中的云凝结核(CCN)的成核速率。这种方法是为数值模型的子网格参数化而开发的,其垂直网格结构阻止了过饱和度的解析和CCN的激活。rn所使用的方法是对Twomey(1959)上限近似的简单扩展,并遵循与之相似的过程由Cohard等人采用。 (1998)。但是,与这些解决问题的方法不同,我们并入了对基础干气溶胶种群的物理化学特性的依赖,该依赖并不限于先验选择。这里概述的参数化也能够响应潜在的干气溶胶光谱的多峰表示。该光谱的每种模式可以进一步具有不同的化学特性,因此可以适合用于耦合云化学模型,由此气溶胶分布的每种模式可以自由地独立发展。与更详细的包裹模型相比,使用干燥气雾剂的一系列特性计算出的参数化结果得到了验证。

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