On the Relationship Between Condensed Water Content and Liquid‐Ice Mixing Homogeneity in Mixed‐Phase Stratiform Clouds

Author:

Deng Yuting1ORCID,Yang Jing12ORCID,Yin Yan1ORCID,Lu Chunsong1ORCID,Chen Baojun2ORCID,Dong Xiaobo3ORCID,Wang Zhien4,Zhang Bo5,Bao Xinghua5,Hou Tuanjie2

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

3. Hebei Provincial Weather Modification Center Shijiazhuang China

4. School of Marine and Atmospheric Sciences Stony Brook University Stony Brook NY USA

5. Hulun Buir Meteorological Bureau Hulun Buir China

Abstract

AbstractAs a key factor influencing the cloud life cycle and radiative properties, liquid‐ice mass partitioning remains a major source of uncertainties in modeling mixed‐phase clouds. One of the unresolved problems is that liquid‐ice mixing is highly inhomogeneous, but it has not been well understood and quantified for parameterization. In this study, the liquid‐ice mixing homogeneity (χ) is quantified using the information‐theoretic entropy based on airborne measurements. It is demonstrated that χ is positively correlated with the condensed water content (CWC). Cloud regions with low χ are consist of liquid and ice clusters. With the increase in χ, the size and frequency of continuous mixed‐phase clusters increase. For a given CWC, χ is lower at relatively warm temperatures as sedimentation of large ice crystals can enhance the inhomogeneity. The strong positive relationship between CWC and χ indicates CWC should be considered when parameterizing the liquid‐ice mixing in models.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

American Geophysical Union (AGU)

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