Impact of stochastic collisions on cloud droplet number concentration and relative dispersion during Meiyu frontal system

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Jingxi Sun, Chunsong Lu, Yan Yin, Sinan Gao, Junjun Li, Yiwei Zhang
{"title":"Impact of stochastic collisions on cloud droplet number concentration and relative dispersion during Meiyu frontal system","authors":"Jingxi Sun, Chunsong Lu, Yan Yin, Sinan Gao, Junjun Li, Yiwei Zhang","doi":"10.1016/j.atmosres.2024.107863","DOIUrl":null,"url":null,"abstract":"To enhance the understanding of the cloud and rain microphysical characteristics in Meiyu frontal systems, we performed a detailed analysis of stochastic collision processes in Meiyu frontal precipitation clouds, using observational data collected at the Bright Summit Meteorological Station on Huangshan (118°09′E, 30°08′N). By employing stochastic collection and breakup equations, this study investigates the primary microphysical processes influencing cloud and rain microphysical properties. Key findings are as follows: Compared to periods before and after the Meiyu season, the number concentration of small cloud droplets decreases, whereas the number concentration of large cloud droplets increases within the Meiyu season, because of relatively stronger collision-coalescence. Raindrop accretion of cloud droplets dominates the stochastic collision process, gradually reducing cloud droplet number concentration, especially, number concentration of small cloud droplets. Both cloud mean diameter and standard deviation increases with the decreasing cloud droplet number concentration, and the increase of standard deviation dominates. As a result, the correlation between cloud relative dispersion and number concentration is negative in general, but fluctuates for different number concentration ranges. This study enhances the understanding of cloud and rain microphysical processes and could be helpful to the development of microphysical parameterization schemes.","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"8 1","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1016/j.atmosres.2024.107863","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

To enhance the understanding of the cloud and rain microphysical characteristics in Meiyu frontal systems, we performed a detailed analysis of stochastic collision processes in Meiyu frontal precipitation clouds, using observational data collected at the Bright Summit Meteorological Station on Huangshan (118°09′E, 30°08′N). By employing stochastic collection and breakup equations, this study investigates the primary microphysical processes influencing cloud and rain microphysical properties. Key findings are as follows: Compared to periods before and after the Meiyu season, the number concentration of small cloud droplets decreases, whereas the number concentration of large cloud droplets increases within the Meiyu season, because of relatively stronger collision-coalescence. Raindrop accretion of cloud droplets dominates the stochastic collision process, gradually reducing cloud droplet number concentration, especially, number concentration of small cloud droplets. Both cloud mean diameter and standard deviation increases with the decreasing cloud droplet number concentration, and the increase of standard deviation dominates. As a result, the correlation between cloud relative dispersion and number concentration is negative in general, but fluctuates for different number concentration ranges. This study enhances the understanding of cloud and rain microphysical processes and could be helpful to the development of microphysical parameterization schemes.
梅雨锋面系统随机碰撞对云滴数浓度和相对弥散的影响
为了加强对梅雨锋面云和雨微物理特征的认识,利用黄山亮峰气象站(118°09′e, 30°08′n)的观测资料,对梅雨锋面降水云的随机碰撞过程进行了详细分析。本文采用随机收集和分解方程,研究了影响云和雨微物理性质的主要微物理过程。主要发现如下:与梅雨季前后相比,由于碰撞聚并作用较强,梅雨季内小云滴数浓度降低,大云滴数浓度增加;随机碰撞过程中,云滴的雨滴吸积占主导地位,逐渐降低云滴数浓度,尤其是小云滴数浓度。云的平均直径和标准差均随云滴数浓度的减小而增大,且标准差的增大占主导地位。因此,云的相对弥散度与数浓度的相关性总体为负,但在不同的数浓度范围内存在波动。该研究增强了对云和雨微物理过程的认识,有助于微物理参数化方案的制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信