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The effects of turbulent collisiona??coalescence on precipitation formation and precipitation-dynamical feedbacks in simulations of stratocumulus and shallow cumulus convection

机译:层状积云与浅积云对流模拟中的湍流冲撞-聚结对降水形成和降水动力反馈的影响

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pstrongAbstract./strong A double moment warm rain scheme that includes the effects of turbulence on droplet collision rates has been implemented in a large-eddy model to investigate the impact of turbulence effects on clouds and precipitation. Simulations of shallow cumulus and stratocumulus show that different precipitation-dynamical feedbacks occur in these regimes when the effects of turbulence are included in the microphysical processes. In both cases inclusion of turbulent microphysics increases precipitation due to a more rapid conversion of cloud water to rain. In the shallow convection case, the greater water loading in the upper cloud levels reduces the buoyancy production of turbulent kinetic energy and the entrainment. The stratocumulus case on the other hand shows a weak positive precipitation feedback, with enhanced rainwater producing greater evaporation, stronger circulations and more turbulence. Sensitivity studies in which the cloud droplet number was varied show that greater number concentrations suppress the stratocumulus precipitation leading to larger liquid water paths. This positive second indirect aerosol effect shows no sensitivity to whether or not the effects of turbulence on droplet collision rates are included. While the sign of the second indirect effect is negative in the shallow convection case whether the effects of turbulence are considered or not, the magnitude of the effect is doubled when the turbulent microphysics are used. It is found that for these two different cloud regimes turbulence has a larger effect than cloud droplet number and the use of a different bulk microphysics scheme on producing rainfall in shallow cumuli. However, for the stratocumulus case examined here, the effects of turbulence on rainfall are not statistically significant and instead it is the cloud droplet number concentration or the choice of bulk microphysics scheme that has the largest control on the rain water./p.
机译:> >摘要。在大涡模型中实施了包括湍流对液滴碰撞速率影响的双矩暖雨方案,以研究湍流效应对云层和降水的影响。浅层积云和平流层积云的模拟表明,当湍流的影响包括在微物理过程中时,在这些区域中会发生不同的降水动力反馈。在这两种情况下,由于云水到雨水的更快转化,湍流微观物理学的加入增加了降水。在浅对流情况下,较高的云层中较大的水负荷会减少湍动能的浮力产生和夹带。另一方面,平流层情况显示出弱的正降水反馈,雨水增加产生更大的蒸发,更强的环流和更多的湍流。改变云滴数量的敏感性研究表明,更大的数量浓度会抑制平流层积雪,从而导致更大的液态水路径。这种积极的第二间接气溶胶效应对是否包括湍流对液滴碰撞速率的影响不敏感。尽管在浅对流情况下第二间接效应的符号为负(无论是否考虑湍流的影响),但当使用湍流微观物理学时,效果的大小会加倍。研究发现,对于这两种不同的云区域,湍流的影响要大于云滴的数量,并且使用不同的体积微观物理学方法来产生浅积云中的降雨。但是,对于这里研究的平积层情况,湍流对降雨的影响没有统计学意义,而是对雨水的控制最大的是云滴数浓度或选择的块体物理方案。

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