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首页> 外文期刊>Journal of Climate >A new two-moment bulk stratiform cloud microphysics scheme in the community atmosphere model, version 3 (CAM3). Part I: Description and numerical tests.
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A new two-moment bulk stratiform cloud microphysics scheme in the community atmosphere model, version 3 (CAM3). Part I: Description and numerical tests.

机译:版本3(CAM3)中的社区气氛模型中的一种新的两时刻块状层状云微物理方案。第一部分:描述和数值测试。

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A new two-moment stratiform cloud microphysics scheme in a general circulation model is described. Prognostic variables include cloud droplet and cloud ice mass mixing ratios and number concentrations. The scheme treats several microphysical processes, including hydrometeor collection, condensation/evaporation, freezing, melting, and sedimentation. The activation of droplets on aerosol is physically based and coupled to a subgrid vertical velocity. Unique aspects of the scheme, relative to existing two-moment schemes developed for general circulation models, are the diagnostic treatment of rain and snow number concentration and mixing ratio and the explicit treatment of subgrid cloud water variability for calculation of the microphysical process rates. Numerical aspects of the scheme are described in detail using idealized one-dimensional offline tests of the microphysics. Sensitivity of the scheme to time step, vertical resolution, and numerical method for diagnostic precipitation is investigated over a range of conditions. It is found that, in general, two substeps are required for numerical stability and reasonably small time truncation errors using a time step of 20 min; however, substepping is only required for the precipitation microphysical processes rather than the entire scheme. A new numerical approach for the diagnostic rain and snow produces reasonable results compared to a benchmark simulation, especially at low vertical resolution. Part II of this study details results of the scheme in single-column and global simulations, including comparison with observations.
机译:描述了一种在一般环流模型中的新的两时层状云微物理方案。预后变量包括云滴和云冰质量混合比和数量浓度。该方案处理几个微物理过程,包括水凝物收集,冷凝/蒸发,冷冻,融化和沉降。气溶胶上的液滴的激活是基于物理的,并与亚网格垂直速度耦合。相对于为通用循环模型开发的现有两矩方案,该方案的独特方面是雨雪数浓度和混合比的诊断处理以及用于计算微物理过程速率的亚网格云水变异性的显式处理。使用理想的一维离线物理测试详细描述了该方案的数值方面。在一定条件下研究了该方案对时间步长,垂直分辨率和数值方法对降水的敏感性。已经发现,通常需要两个子步骤来实现数值稳定性和使用20分钟的时间步长合理地减小时间截断误差。然而,仅对于沉淀微物理过程而不是整个方案需要子步骤。与基准模拟相比,一种用于诊断雨雪的新数值方法可以产生合理的结果,尤其是在垂直分辨率较低的情况下。本研究的第二部分详细介绍了该方案在单列和全局模拟中的结果,包括与观测值的比较。

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