A grid refinement study of trade wind cumuli simulated by a Lagrangian cloud microphysical model: the super-droplet method
A grid refinement study of trade wind cumuli simulated by a Lagrangian cloud microphysical model: the super-droplet method
复制标题
拉格朗日云微物理模型模拟信风积云的网格细化研究：超液滴法
DOI：
10.1002/asl.764
复制
发表时间：
2017
影响因子：
3
通讯作者：
Tomita Hirofumi
中科院分区：
文献类型：
--
作者：
Sato Yousuke;Shima Shin-ichiro;Tomita Hirofumi
研究了空间分辨率对信风积云模拟的影响。超液滴方法是一种有效的随机拉格朗日云微物理模型，用于减少由于云微物理的经验参数化和平流的数值扩散而产生的不确定性，这在欧拉云微物理模型中是不可避免的。我们首次展示了云覆盖在网格分辨率为12.5 m的情况下的数值收敛。我们的网格细化分析阐明了小积云对总云量的重要贡献，因为这样的积云是由小尺度上升气流产生的，只能在精细分辨率下分辨。
The impact of spatial resolution on the simulation of trade wind cumuli was investigated. The super‐droplet method, an efficient stochastic Lagrangian cloud microphysical model, was used to reduce uncertainties due to the empirical parameterisation of cloud microphysics and numerical diffusion for advection, which is inevitable in an Eulerian cloud microphysical model. We showed for the first time that cloud cover numerically converged with a grid resolution of 12.5 m. Our grid refinement analysis elucidated a significant contribution of small cumulus clouds to total cloud cover, as such cumuli are generated by small‐scale updrafts that can be resolved only at a fine resolution.