论文标题
超饱和湍流波动的云凝结核浓度的增强
Enhancements in cloud condensation nuclei concentrations from turbulent fluctuations in supersaturation
论文作者
论文摘要
气溶胶排放对云的性质和分布的影响是天气和气候预测的不确定性。这些气溶胶云相互作用严格取决于气溶胶颗粒激活云凝结核（CCN）的能力。建模CCN激活和云滴的形成的关键挑战是湍流和云微物理学之间相互作用的表示。湍流混合会导致水蒸气和温度的小规模波动，这些波动在大型大气模型中未能解决。我们使用了由对流云室的高分辨率大涡模拟驱动的拉格朗日包裹模拟，以量化这些小规模波动对CCN激活的影响。我们表明，环境特性中的小规模波动强烈增强了CCN激活，这表明常规的大型涡流模拟和忽略这些波动的地球系统模型低估了云液滴的形成。
The effect of aerosol emissions on the properties and distribution of clouds is a large source of uncertainty in predictions of weather and climate. These aerosol-cloud interactions depend critically on the ability of aerosol particles to activate into cloud condensation nuclei (CCN). A key challenge in modeling CCN activation and the formation of cloud droplets is the representation of interactions between turbulence and cloud microphysics. Turbulent mixing leads to small-scale fluctuations of water vapor and temperature that are not resolved in large-scale atmospheric models. We used Lagrangian parcel simulations driven by a high-resolution Large Eddy Simulation of a convective cloud chamber to quantify the impact of these small-scale fluctuations on CCN activation. We show that small-scale fluctuations in environmental properties strongly enhance CCN activation, which suggests that conventional Large Eddy Simulations and Earth System Models that neglect these fluctuations underestimate cloud droplet formation.
