Arid Zone Research ›› 2022, Vol. 39 ›› Issue (6): 1717-1727.doi: 10.13866/j.azr.2022.06.03

• Weather and Applied Climate • Previous Articles     Next Articles

Selection of cloud model simulation parameters and analysis of microphysical structure characteristics of the precipitation process in the Qilian Mountains

ZHANG Wenyu1(),REN Jing1,2(),FU Danhong2,KONG Lingbin1,TIAN Shuo1   

  1. 1. College of Computer and Artificial Intelligence/School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, Henan, China
    2. Key Laboratory for Clouds and Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
  • Received:2022-04-30 Revised:2022-06-17 Online:2022-11-15 Published:2023-01-17
  • Contact: Jing REN E-mail:zhangwy@zzu.edu.cn;maximusrj@163.com

Abstract:

Using the measured data and cloud model, the precipitation process of a typical stratocumulus system in the Qilian Mountain is numerically simulated. The influence of parameter selection on the simulation results is discussed, and its microphysical structure characteristics are analyzed. The results show that the optimal parameter of the Qilian Mountain cloud model is the Thompson scheme. The content distribution of various aquatic products shows a single peak. The values of graupel and snow mixing ratios near 01:00 and 4.5 km can reach 0.1 g·kg-1 and 0.7 g·kg-1, respectively. There is abundant supercooled water in this height layer. From the spatial distribution and temporal correlation of the five aquatic products, the melting of graupel and snow has a significant contribution to rainwater formation. In the vertical direction, the cloud system presents a layered structure of “catalysis supply”: The highest layer above 8 km is the coexistence area of ice crystals and snow, and the supercooling area above the zero-layer (4.5 km), with graupel particles, cloud water, and rainwater at the same time. This cloud structure is conducive to forming precipitation and artificial precipitation enhancement in the Qilian Mountain.

Key words: Qilian Mountains, cloud mode, simulation parameters, microphysical structure, characteristics