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Investigating the Scale Adaptivity of a Size-Filtered Mass Flux Parameterization in the Gray Zone of Shallow Cumulus Convection

机译:研究浅层对流灰色区域尺寸过滤质量磁通参数化的规模适应性

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In this study, the scale adaptivity of a new parameterization scheme for shallow cumulus clouds in the gray zone is investigated. The eddy diffusivity/multiple mass flux [ED(MF)(n)] scheme is a bin-macrophysics scheme in which subgrid transport is formulated in terms of discretized size densities. While scale adaptivity in the ED component is achieved using a pragmatic blending approach, the MF component is filtered such that only the transport by plumes smaller than the grid size is maintained. For testing, ED(MF)(n) is implemented into a large-eddy simulation (LES) model, replacing the original subgrid scheme for turbulent transport. LES thus plays the role of a nonhydrostatic testing ground, which can be run at different resolutions to study the behavior of the parameterization scheme in the boundary layer gray zone. In this range, convective cumulus clouds are partially resolved. The authors find that for quasi-equilibrium marine subtropical conditions at high resolutions, the clouds and the turbulent transport are predominantly resolved by the LES. This partitioning changes toward coarser resolutions, with the representation of shallow cumulus clouds gradually becoming completely carried by the ED(MF)(n). The way the partitioning changes with grid spacing matches the behavior diagnosed in coarse-grained LES fields, suggesting that some scale adaptivity is captured. Sensitivity studies show that the scale adaptivity of the ED closure is important and that the location of the gray zone is found to be moderately sensitive to some model constants.
机译:在本研究中,研究了灰色区域中浅层云参数化方案的新参数化方案的规模适应性。涡流扩散率/多重质量通量[ED(MF)(N)]方案是宾群宏观物理学方案,其中在离散化尺寸密度方面配制了亚底传输。虽然使用务实混合方法实现了ED部件中的规模适应性,但是滤波MF分量,使得仅保持小于网格尺寸的羽的运输。对于测试,ED(MF)(N)被实现为大涡模拟(LES)模型,替换湍流传输的原始子网格方案。因此,LES起到非水压测试地的作用,这可以以不同的分辨率运行,以研究边界层灰色区域中参数化方案的行为。在此范围内,对流积云云部分得到部分解决。作者发现,对于高分辨率的准平衡海洋亚热带条件,云和湍流传输主要由LES解决。这种分区改变粗糙分辨率,浅层云的表示逐渐被ED(MF)(n)完全携带。使用网格间距的分区变化的方式与粗粒粗糙的LES字段中诊断的行为匹配,这表明捕获了一些比例适应性。敏感性研究表明,ED闭合的规模适应性很重要,并且发现灰色区域的位置对某些型号常数适度敏感。

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