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arXiv 1802.06241astro-ph.EP
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星下大气凝结云的沉降效率

Sedimentation Efficiency of Condensation Clouds in Substellar Atmospheres

Peter Gao, Mark S. Marley, Andrew S. Ackerman

摘要:

亚恒星大气中的凝结云已经被广泛地从光谱和光度变化中推断出来。到目前为止,它们的水平平均垂直分布和平均颗粒大小主要是使用模型来表征的,其中之一是Ackerman和Marley(2001年)的涡流扩散-沉降模型,该模型依赖于沉降效率参数$f_{\rm sed}$来确定大气中云的垂直范围。然而,控制亚恒星大气中云的垂直结构的物理过程还没有得到很好的理解。在这项工作中,我们得到的趋势$f_{\rm sed}$在大范围的涡动扩散率($K_{zz}$),重力,材料特性,云的形成途径拟合云分布计算的一个更详细的云微物理模型。我们发现,当$K_{zz}$保持恒定时,$f_{\rm sed}$依赖于$K_{zz}$,而不是重力。$f_{\rm sed}$对云粒子的成核速率最敏感,这是由材料特性如表面能和分子量决定的。高表面能材料形成更少、更大的云颗粒,导致大的$f_{\rm sed}$($>$ 1),对于低表面能材料,反之亦然。对于通过非均质成核形成的云,$f_{\rm sed}$对凝结核通量和半径敏感,将星下大气中的云形成与物体的形成环境和其他大气气溶胶联系起来。这些见解可以改进云模型,帮助我们更好地了解亚恒星大气。例如,我们证明,$f_{\rm sed}$可以增加在大气中的云底深度的增加,揭示了褐矮星L/T转换的性质。

英文摘要:

Condensation clouds in substellar atmospheres have been widely inferred from spectra and photometric variability. Up until now, their horizontally averaged vertical distribution and mean particle size have been largely characterized using models, one of which is the eddy diffusion-sedimentation model from Ackerman & Marley (2001) that relies on a sedimentation efficiency parameter, $f_{\rm sed}$, to determine the vertical extent of clouds in the atmosphere. However, the physical processes controlling the vertical structure of clouds in substellar atmospheres are not well understood. In this work, we derive trends in $f_{\rm sed}$ across a large range of eddy diffusivities ($K_{zz}$), gravities, material properties, and cloud formation pathways by fitting cloud distributions calculated by a more detailed cloud microphysics model. We find that $f_{\rm sed}$ is dependent on $K_{zz}$, but not gravity, when $K_{zz}$ is held constant. $f_{\rm sed}$ is most sensitive to the nucleation rate of cloud particles, as determined by material properties like surface energy and molecular weight. High surface energy materials form fewer, larger cloud particles, leading to large $f_{\rm sed}$ ($>$1), and vice versa for materials with low surface energy. For cloud formation via heterogeneous nucleation, $f_{\rm sed}$ is sensitive to the condensation nuclei flux and radius, connecting cloud formation in substellar atmospheres to the objects' formation environments and other atmospheric aerosols. These insights could lead to improved cloud models that help us better understand substellar atmospheres. For example, we demonstrate that $f_{\rm sed}$ could increase with increasing cloud base depth in an atmosphere, shedding light on the nature of the brown dwarf L/T transition.

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