The Importance of the Shape Parameter in a Bulk Parameterization Scheme to the Evolution of the Cloud Droplet Spectrum during Condensation

被引:1
|
作者
Zhang, Jun [1 ,3 ]
Sun, Jiming [1 ,2 ,3 ]
Deng, Wei [1 ,3 ]
Hu, Wenhao [1 ,3 ]
Wang, Yongqing [1 ,4 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, Lab Cloud Precipitat Phys & Severe Storms, Beijing 100029, Peoples R China
[2] Nanjing Univ Informat & Technol, Nanjing 210044, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Beijing Key Lab Cloud Precipitat & Atmospher Wate, Beijing 100089, Peoples R China
基金
中国国家自然科学基金;
关键词
cloud microphysics parameterization; cloud droplet spectrum; double-moment scheme; shape parameter; MICROPHYSICS PARAMETERIZATION; TRIPLE-MOMENT; PART I; NUMERICAL-SIMULATION; SHALLOW CUMULUS; DISPERSION; RAIN; AUTOCONVERSION; FORMULATION; NUCLEATION;
D O I
10.1007/s00376-022-2065-7
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The shape parameter of the Gamma size distribution plays a key role in the evolution of the cloud droplet spectrum in the bulk parameterization schemes. However, due to the inaccurate specification of the shape parameter in the commonly used bulk double-moment schemes, the cloud droplet spectra cannot reasonably be described during the condensation process. Therefore, a newly-developed triple-parameter condensation scheme with the shape parameter diagnosed through the number concentration, cloud water content, and reflectivity factor of cloud droplets can be applied to improve the evolution of the cloud droplet spectrum. The simulation with the new parameterization scheme was compared to those with a high-resolution Lagrangian bin scheme, the double-moment schemes in a parcel model, and the observation in a 1.5D Eulerian model that consists of two cylinders. The new scheme with the shape parameter varying with time and space can accurately simulate the evolution of the cloud droplet spectrum. Furthermore, the volume-mean radius and cloud water content simulated with the new scheme match the Lagrangian analytical solutions well, and the errors are steady, within approximately 0.2%.
引用
收藏
页码:155 / 167
页数:13
相关论文
共 43 条