On the Cluster Scales of Hydrometeors in Mixed‐Phase Stratiform Clouds

Author:

Yang Jing12ORCID,Qin Zhizhi1,Deng Yuting1ORCID,Chen Meilian1,Jing Xiaoqin1ORCID,Yin Yan1ORCID,Lu Chunsong1ORCID,Chen Baojun2ORCID,Zhang Bo3,Bao Xinghua3

Affiliation:

1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD)/China Meteorological Administration Aerosol‐Cloud and Precipitation Key Laboratory Nanjing University of Information Science & Technology Nanjing China

2. China Meteorological Administration Key Laboratory of Cloud‐Precipitation Physics and Weather Modification (CPML) Beijing China

3. Hulun Buir Meteorological Bureau Hulun Buir China

Abstract

AbstractMixed‐phase stratiform clouds contain numerous liquid, mixed‐phase, and ice clusters, quantifying the cluster scales is potentially helpful to improve the parameterizations of microphysics and radiation models. However, the scales of hydrometeor clusters at different levels of stratiform clouds are not well understood. In this study, using airborne measurements and a large eddy simulation, we show that turbulence plays an important role in controlling the clusters with length of a few hundred meters, while the scales of larger clusters have stronger vertical variations from cloud base to top. The liquid clusters are the largest near the cloud top, while the lengths of ice clusters decrease from cloud base to top. The lengths of mixed‐phase clusters depend on the glaciation process, a faster glaciation results in smaller mixed‐phase clusters. The results improve our understanding on how the liquid and ice are mixed at different levels in stratiform clouds.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

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