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Title: Broadening of Cloud Droplet Size Distributions and Warm Rain Initiation Associated with Turbulence: An Overview

In the study of warm clouds, there are many outstanding questions. Cloud droplet size distributions are much wider, and warm rain is initiated in a shorter time and with a shallower cloud depth than theoretical expectations. This paper summarizes the studies related to the effects of turbulent fluctuations and turbulent entrainment-mixing on the broadening of droplet size distributions and warm rain initiation, including observational, laboratorial, numerical, and theoretical achievements. Particular attention is paid to studies by Chinese scientists since the 1950s, since most results have been published in Chinese. The review reveals that high-resolution observations and simulations, and laboratory experiments are needed because knowledge of the detailed physical processes involved in the effects of turbulence and entrainment-mixing on cloud microphysics still remains elusive.
Authors:
 [1] ;  [2] ;  [3] ;  [3]
  1. Nanjing Univ. of Information Science & Technology, Nanjing (China); Tsinghua Univ., Beijing (China)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Nanjing Univ. of Information Science & Technology, Nanjing (China)
Publication Date:
Report Number(s):
BNL-114424-2017-JA
Journal ID: ISSN 1674-2834; R&D Project: 2019‐BNL-EE630EECA-Budg; SICI 0035-9009(20050101)131:605L.195;1-
Grant/Contract Number:
SC0012704
Type:
Accepted Manuscript
Journal Name:
Atmospheric and Oceanic Science Letters
Additional Journal Information:
Journal Volume: 11; Journal Issue: 2; Journal ID: ISSN 1674-2834
Publisher:
Taylor & Francis
Research Org:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; cloud droplet size distribution; warm rain; turbulent fluctuations; entrainment-mixing; systems theory
OSTI Identifier:
1402421

Lu, Chunsong, Liu, Yangang, Niu, Shengjie, and Xue, Yuqi. Broadening of Cloud Droplet Size Distributions and Warm Rain Initiation Associated with Turbulence: An Overview. United States: N. p., Web. doi:10.1080/16742834.2018.1410057.
Lu, Chunsong, Liu, Yangang, Niu, Shengjie, & Xue, Yuqi. Broadening of Cloud Droplet Size Distributions and Warm Rain Initiation Associated with Turbulence: An Overview. United States. doi:10.1080/16742834.2018.1410057.
Lu, Chunsong, Liu, Yangang, Niu, Shengjie, and Xue, Yuqi. 2017. "Broadening of Cloud Droplet Size Distributions and Warm Rain Initiation Associated with Turbulence: An Overview". United States. doi:10.1080/16742834.2018.1410057. https://www.osti.gov/servlets/purl/1402421.
@article{osti_1402421,
title = {Broadening of Cloud Droplet Size Distributions and Warm Rain Initiation Associated with Turbulence: An Overview},
author = {Lu, Chunsong and Liu, Yangang and Niu, Shengjie and Xue, Yuqi},
abstractNote = {In the study of warm clouds, there are many outstanding questions. Cloud droplet size distributions are much wider, and warm rain is initiated in a shorter time and with a shallower cloud depth than theoretical expectations. This paper summarizes the studies related to the effects of turbulent fluctuations and turbulent entrainment-mixing on the broadening of droplet size distributions and warm rain initiation, including observational, laboratorial, numerical, and theoretical achievements. Particular attention is paid to studies by Chinese scientists since the 1950s, since most results have been published in Chinese. The review reveals that high-resolution observations and simulations, and laboratory experiments are needed because knowledge of the detailed physical processes involved in the effects of turbulence and entrainment-mixing on cloud microphysics still remains elusive.},
doi = {10.1080/16742834.2018.1410057},
journal = {Atmospheric and Oceanic Science Letters},
number = 2,
volume = 11,
place = {United States},
year = {2017},
month = {12}
}