首页> 外文期刊>Journal of Advances in Modeling Earth Systems >Effects of Resolution on the Simulation of Boundary?¢????layer Clouds and the Partition of Kinetic Energy to Subgrid Scales
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Effects of Resolution on the Simulation of Boundary?¢????layer Clouds and the Partition of Kinetic Energy to Subgrid Scales

机译:分辨率对边界层云模拟和动能分配给亚网格尺度的影响

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[1] Seven boundary?¢????layer cloud cases are simulated with UCLA?¢????LES (The University of California, Los Angeles ?¢???? large eddy simulation) model with different horizontal and vertical gridspacing to investigate how the results depend on gridspacing. Some variables are more sensitive to horizontal gridspacing, while others are more sensitive to vertical gridspacing, and still others are sensitive to both horizontal and vertical gridspacings with similar or opposite trends. For cloud?¢????related variables having the opposite dependence on horizontal and vertical gridspacings, changing the gridspacing proportionally in both directions gives the appearance of convergence. In this study, we mainly discuss the impact of subgrid?¢????scale (SGS) kinetic energy (KE) on the simulations with coarsening of horizontal and vertical gridspacings. A running?¢????mean operator is used to separate the KE of the high?¢????resolution benchmark simulations into that of resolved scales of coarse?¢????resolution simulations and that of SGSs. The diagnosed SGS KE is compared with that parameterized by the Smagorinsky?¢????Lilly SGS scheme at various gridspacings. It is found that the parameterized SGS KE for the coarse?¢????resolution simulations is usually underestimated but the resolved KE is unrealistically large, compared to benchmark simulations. However, the sum of resolved and SGS KEs is about the same for simulations with various gridspacings. The partitioning of SGS and resolved heat and moisture transports is consistent with that of SGS and resolved KE, which means that the parameterized transports are underestimated but resolved?¢????scale transports are overestimated. On the whole, energy shifts to large?¢????scales as the horizontal gridspacing becomes coarse, hence the size of clouds and the resolved circulation increase, the clouds become more stratiform?¢????like with an increase in cloud fraction, cloud liquid?¢????water path and surface precipitation; when coarse vertical gridspacing is used, cloud sizes do not change, but clouds are produced less frequently. Cloud fraction and liquid water path decrease.
机译:[1]使用水平和垂直网格间距不同的UCLA(加利福尼亚大学洛杉矶分校,大涡模拟)模型模拟​​七个边界层云案例。调查结果如何依赖于网格间距。一些变量对水平网格间距更敏感,而另一些变量对垂直网格间距更敏感,还有一些变量对趋势相似或相反的水平和垂直网格间距都敏感。对于与水平和垂直网格间距具有相反依赖性的云相关变量,在两个方向上按比例更改网格间距可产生收敛的外观。在这项研究中,我们主要讨论子网格规模(SGS)动能(KE)对水平和垂直网格间距粗化模拟的影响。运行中的均值算子用于将高分辨率分辨率基准模拟的KE分解为粗糙分辨率分辨率模拟的分辨尺度和SGS的分辨尺度。在各种网格间距下,将诊断出的SGS KE与Smagorinsky?Lilly SGS方案设定的参数进行比较。可以发现,与基准模拟相比,用于粗糙分辨率模拟的参数化SGS KE通常被低估了,但是解析出的KE却不切实际地大。但是,对于具有各种网格间距的模拟,已分解和SGS KE的总和大致相同。 SGS和解析的热量和水分传输的划分与SGS和解析的KE的划分是一致的,这意味着参数化的传输被低估了,但是解析的规模传输被高估了。总体而言,随着水平网格间距变粗,能量转移到较大的规模,因此云的大小和已分解的环流增加,云变得更加层状,就像云的增加一样分数,云状液体?水路径和表面降水;当使用粗略的垂直网格间距时,云的大小不会改变,但是生成云的频率较低。云量和液态水路径减少。

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