Large‐Eddy Simulations of a Convection Cloud Chamber: Sensitivity to Bin Microphysics and Advection
Large‐Eddy Simulations of a Convection Cloud Chamber: Sensitivity to Bin Microphysics and Advection
复制标题
对流云室的大涡流模拟：对微物理和平流的敏感性
DOI：
10.1029/2021ms002895
复制
发表时间：
2022
影响因子：
6.8
通讯作者：
Vogelmann, Andrew M.
中科院分区：
文献类型：
--
作者：
Yang, Fan;Ovchinnikov, Mikhail;Thomas, Subin;Khain, Alexander;McGraw, Robert;Shaw, Raymond A.;Vogelmann, Andrew M.
Bin微物理方案是云模拟的有用工具，通常被认为是模式相互比较的基准。然而，它们可能会遇到数值扩散的问题，这些问题没有得到很好的量化，并且水凝物的传输取决于平流方案的选择，这也会改变云模拟结果。在这里，一个大气大涡模拟模型被用来模拟在良好约束条件下对流云室中的统计稳态云。两个箱微物理方案，光谱箱方法和矩量法，以及几个平流方法的微物理变量的运输模式相互比较。结果表明，不同的微物理和平流方案的组合可以导致模拟云的性质，如云滴数浓度有很大的差异。我们发现，模拟使用的平流方案，遭受更多的数值扩散往往有一个较小的液滴数浓度和液态水含量，而模拟与微物理方案，遭受更多的数值扩散往往有一个更广泛的尺寸分布，从而更大的平均液滴尺寸。模拟箱分辨率，空间分辨率和时间分辨率的敏感性也进行了测试。我们发现，由于水凝物的平流，细化微物理箱分辨率导致更广泛的云滴尺寸分布。我们的研究结果提供了洞察力，使用不同的平流和微物理方案在云室模拟，这也可能有助于了解在大气云模拟中使用的方案的不确定性。
Bin microphysics schemes are useful tools for cloud simulations and are often considered to provide a benchmark for model intercomparison. However, they may experience issues with numerical diffusion, which are not well quantified, and the transport of hydrometeors depends on the choice of advection scheme, which can also change cloud simulation results. Here, an atmospheric large‐eddy simulation model is adapted to simulate a statistically steady‐state cloud in a convection cloud chamber under well‐constrained conditions. Two bin microphysics schemes, a spectral bin method and the method of moments, as well as several advection methods for the transport of the microphysical variables are employed for model intercomparison. Results show that different combinations of microphysics and advection schemes can lead to considerable differences in simulated cloud properties, such as cloud droplet number concentration. We find that simulations using the advection scheme that suffers more from numerical diffusion tends to have a smaller droplet number concentration and liquid water content, while simulation with the microphysics scheme that suffers more from numerical diffusion tends to have a broader size distribution and thus larger mean droplet sizes. Sensitivities of simulations to bin resolution, spatial resolution, and temporal resolution are also tested. We find that refining the microphysical bin resolution leads to a broader cloud droplet size distribution due to the advection of hydrometeors. Our results provide insight for using different advection and microphysics schemes in cloud chamber simulations, which might also help understand the uncertainties of the schemes used in atmospheric cloud simulations.
登录
查看更多内容
动力学-微观物理相互作用建模的进展和挑战：从 Pi 室到季风对流
影响因子：
8
作者：
Xue;L.;Bera;S.;Chen;S.;Choudhary;H.;Dixit;S.;Grabowski;W. W.;Jayakumar;S.;Krueger;S.;Kulkarni;G.;Lasher-Trapp;S.;Mallinson;H.;Prabhakaran;T.;& Shima;S.
通讯作者：
S.
快速线性半拉格朗日平流方案与光谱（bin）微物理相结合，模拟 WRF 中的理想化超级细胞风暴
影响因子：
3.2
作者：
B. Lynn;E. Gavze;J. Dudhia;D. Gill;A. Khain
通讯作者：
A. Khain
影响因子：
6.8
作者：
Morrison H;van Lier-Walqui M;Fridlind AM;Grabowski WW;Harrington JY;Hoose C;Korolev A;Kumjian MR;Milbrandt JA;Pawlowska H;Posselt DJ;Prat OP;Reimel KJ;Shima SI;van Diedenhoven B;Xue L
通讯作者：
Xue L
影响因子：
3.2
作者：
E. Gavze;E. Ilotoviz;A. Khain
通讯作者：
E. Gavze;E. Ilotoviz;A. Khain
潮湿湍流瑞利-伯纳德对流中的过饱和涨落：二标量输运问题
影响因子：
3.7
作者：
Chandrakar, Kamal Kant;Cantrell, Will;Krueger, Steven;Shaw, Raymond A.;Wunsch, Scott
通讯作者：
Wunsch, Scott