Single-parameter effective dynamics of warm cloud precipitation

Shai Kapon, Nadir Jeevanjee, Anna Frishman
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Abstract

Cloud observables such as precipitation efficiency and cloud lifetime are key quantities in weather and climate, but understanding their quantitative connection to initial conditions such as initial cloud water mass or droplet size remains challenging. Here we study the evolution of cloud droplets with a bin microphysics scheme, modeling both gravitational coagulation as well as fallout, and develop analytical formulae to describe the evolution of bulk cloud and rain water. We separate the dynamics into a mass-conserving and fallout-dominated regime, which reveals that the overall dynamics are governed by a single non-dimensional parameter $\mu$, the ratio of accretion and sedimentation time scales. Cloud observables from the simulations accordingly collapse as a function of $\mu$. We also find an unexpected relationship between cloud water and accumulated rain, and that fallout can be modeled with a bulk fall speed which is constant in time despite an evolving raindrop distribution.
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暖云降水的单参数有效动力学
降水效率和云寿命等云观测指标是天气和气候中的关键量纲,但了解它们与初始条件(如初始云水质量或云滴大小)之间的定量联系仍然具有挑战性。在这里,我们采用微观物理方案研究了云滴的演变,模拟了引力凝结和降水,并开发了分析公式来描述大体积云和雨水的演变。我们将动力学分为质量守恒机制和降雨主导机制,这揭示了整体动力学受单一非维度参数$\mu$(增殖和沉积时间尺度之比)的支配。模拟的云观测值也相应地作为 $\mu$ 的函数塌缩。我们还发现云水和积雨之间有一种意想不到的关系,尽管雨滴分布在不断变化,但降尘可以用在时间上恒定的大体积降尘速度来建模。
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