On the Scale of Particle Clustering Induced by Inhomogeneous Entrainment‐Mixing in Mixed‐Phase Cumulus Clouds

Author:

Liu Yiting1,Yang Jing12ORCID,Zhao Guozheng1ORCID,Deng Yuting1ORCID,Lu Chunsong1ORCID,Yin Yan1ORCID,Jing Xiaoqin1ORCID,Wang Yonggang3

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 Cloud‐Precipitation Physics and Weather Modification Key Laboratory CMA Weather Modification Centre Beijing China

3. Department of Atmospheric and Geological Sciences State University of New York at Oswego Oswego NY USA

Abstract

AbstractIn mixed‐phase cumulus clouds, droplets and ice crystals are inhomogeneously distributed, such spatial inhomogeneity can be enhanced by inhomogeneous entrainment as it can strengthen the particle clustering, which may further influence the phase partitioning and interactions among hydrometeors. However, the scale of particle clustering induced by inhomogeneous entrainment is not well known. Utilizing high‐resolution in‐situ aircraft measurements in mixed‐phase cumulus clouds, this study shows due to inhomogeneous entrainment‐mixing, the cluster scales of droplets and ice crystals decrease by approximately 10 m from the cloud center to the edge. Changes in the clustering are correlated with the intensity of entrainment‐mixing. Clouds that are significantly affected by entrainment exhibit stronger enhancement of particle clustering and a more noticeable reduction in cluster scale. The findings from this study improve our understanding of the scale of particle clustering induced by entrainment‐mixing, and are potentially helpful in evaluating models.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3