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

Abstract As 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.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-08-12
DOI
https://doi.org/10.1029/2024gl110670
Citations
2
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.57

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article

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

Zhien Wang, Baojun Chen, Xinghua Bao, Yan Yin et al.
2 citations
Geophysical Research Letters
Atmospheric aerosols and clouds
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article

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

Zhien Wang, Baojun Chen, Xinghua Bao, Yan Yin, Chunsong Lu, Jing Yang, Xiaobo Dong, Tuanjie Hou, Yuting Deng, Bo Zhang
article en
2 citations

Abstract

Abstract As 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.

Geophysical Research LettersVol. 51(16)
China Meteorological Administration (CN), Nanjing University of Information Science and Technology (CN), Hulunbuir University (CN), Jilin Weather Modification Office (CN), Stony Brook University (US)
National Natural Science Foundation of China, National Key Research and Development Program of China
Responsible consumption and production
Openalex Percentile: Top 34%
Atmospheric aerosols and clouds
0.57
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