Spatial Distribution and Impacts of Aerosols on Clouds Under Meiyu Frontal Weather Background Over Central China Based on Aircraft Observations
Author
Yang, JunmeiLi, Junxia
Li, Peiren
Sun, Guode
Cai, Zhaoxin
Yang, Xiao
Cui, Chunguang
Dong, Xiquan

Xi, Baike
Wan, Rong
Wang, Bin
Zhou, Zhimin
Affiliation
Univ Arizona, Dept Hydrol & Atmospher SciIssue Date
2020-08
Metadata
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AMER GEOPHYSICAL UNIONCitation
Yang, J., Li, J., Li, P., Sun, G., Cai, Z., Yang, X., ... & Zhou, Z. (2020). Spatial distribution and impacts of aerosols on clouds under Meiyu frontal weather background over central China based on aircraft observations. Journal of Geophysical Research: Atmospheres, 125(15), e2019JD031915.Rights
© 2020 American Geophysical Union. All Rights Reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
An airborne field campaign was conducted from 10 June to 10 July 2018 in Hubei Province over central China as a part of the State Key Natural Science Foundation Project referred to as Integrative Monsoon Frontal Rainfall Experiment (IMFRE). Comprehensive observations of atmospheric aerosols and cloud characteristics in this region were collected and analyzed. In this study, data from six flights on nonprecipitating days were selected to investigate the spatial distribution of aerosols and microphysical properties of clouds. The profiles of aerosol number concentrations (N-a) were 1 order of magnitude lower than those over the North Plain of China, due to the different atmospheric backgrounds, local emission, and long-range transport. The highest N-a occurred at the altitude of the temperature inversion layer (TIL), indicating that N-a profiles were significantly affected by the TIL structure. Relative humidity (RH) had an effect on the aerosol size distribution where high RH values corresponded well with large values of particle mean diameter (MD). Compared with the vertical distributions of N-a and MD, their horizontal directions had minor changes, except for the MD at 4,000 m in one case. Of the three flights that penetrated through the stratiform clouds, the probability distribution functions of cloud droplet number concentration (N-c), effective radius (r(e)), and liquid water content (LWC), showed the same features with a single peak mode. Since the nucleation of aerosol in-cloud caused the decrease of aerosol concentration, the maximum aerosol activation ratio almost reached 74%. The average spectrum of cloud droplets showed a multimodal distribution and their microphysical properties were analyzed in this study.Note
6 month embargo; first published: 26 July 2020ISSN
2169-897XEISSN
2169-8996Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1029/2019JD031915