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Large-eddy simulations of entrainment of cloud condensation nuclei into the Arctic boundary layer: May 18, 1998, FIRE/SHEBA case study

机译:云凝结核子夹带进入北极边界层的大涡模拟:1998年5月18日,FIRE / SHEBA案例研究

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Two sets of three-dimensional simulations of a springtime Arctic boundary layer cloud observed during the FIRE/SHEBA 1998 spring IOP were conducted to study the influence of entrainment of cloud condensation nuclei (CCN) at cloud top on cloud microphysical and dynamical structure, radiative properties, and cloud evolution. The model is a large-eddy version of the Regional Atmospheric Modeling System (RAMS) with explicit representation of the CCN spectrum and cloud droplet spectrum. The initial CCN concentration is a constant value of 30 cm(-3) in the control run, while it varies from 30 cm(-3) below cloud base to a peak of 250 cm(-3) at the inversion in the sensitivity run. Results from the sensitivity run show that droplet concentrations increase about twofold, effective radii decrease by 9-15% from cloud top to cloud base, liquid water content increases about 21%, and no drizzle reaches the ground in comparison with results from the control run. The dynamic response becomes significant by the end of the 5 hour simulation, as reflected in more vigorous eddies in the sensitivity run. The response of the cloud optical properties to entrainment occurs from the beginning of the simulations. Cloud albedo increases 12%, while cloud optical depth increases 33%. These results are consistent with both observations and modeling studies. It is stressed that knowledge of boundary layer deepening is critical to prediction of cloud optical properties, both from the thermodynamical perspective, because the properties of the entrained air affect bulk cloud features such as liquid water path, and from the microphysical perspective because aerosol gradients across the top of the boundary layer can alter microphysical properties and, in turn, cloud optical properties. [References: 48]
机译:进行了FIRE / SHEBA 1998春季IOP期间观测到的春季北极边界层云的两套三维模拟,研究了云顶夹带的凝结核(CCN)夹带对云的微物理和动力学结构,辐射特性的影响。 ,以及云的演进。该模型是区域大气建模系统(RAMS)的大涡版本,具有CCN谱和云滴谱的明确表示。初始CCN浓度在对照运行中为30 cm(-3)的恒定值,而从云底以下的30 cm(-3)变为灵敏度运行反转时的250 cm(-3)的峰值。 。敏感性实验的结果表明,与对照实验相比,从云顶到云层的液滴浓度增加了约两倍,有效半径降低了9-15%,液态水含量增加了约21%,并且没有毛毛雨到达地面。在5小时模拟结束时,动态响应变得非常重要,这反映在灵敏度运行中更剧烈的涡流中。云的光学性质对夹带的响应从模拟开始就发生了。云的反照率增加12%,而云的光学深度增加33%。这些结果与观察和模型研究都一致。需要强调的是,从热力学的角度来看,边界层加深的知识对于预测云的光学特性至关重要,因为从热力学角度来看,因为夹带的空气的特性会影响大量的云特征(例如液体水路径),而从微观的角度来看,因为气溶胶梯度会跨越边界层的顶部可以改变微物理特性,进而改变云的光学特性。 [参考:48]

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