Articles online

Effects of Wintertime Polluted Aerosol on Clouds over the Yangtze River Delta: Case Study

Category: Optical/Radiative Properties and Remote Sensing

Accepted Manuscripts
DOI: 10.4209/aaqr.2017.09.0322
PDF | Supplemental material | RIS | BibTeX

Chen Xu1, Junyan Duan1, Yanyu Wang1, Mei Li2, Tiantao Cheng 1, Hua Wang 3, Hailin Zhu1, Xin Xie1, Yuehui Liu1, Yan Ling1, Xiang Li1, Lingdong Kong1, Qianshan He4, Hongli Wang5, Renjian Zhang6

  • 1 Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China
  • 2 Guangdong Engineering Research Center for Online Atmospheric Pollution Source Apportionment Mass Spectrometry System, Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China
  • 3 Environmental and Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing 100089, China
  • 4 Shanghai Meteorological Bureau, Shanghai 200030, China
  • 5 State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Institute of Atmospheric Environment, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
  • 6 Key Laboratory of Region Climate-Environment Research for Temperate East Asia (CAS-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China


Low maritime aerosol loading promotes COTs of the high- and low-clouds.
The significant effect of aerosol presents in valley and coal industry districts.
Dust aerosol makes little difference on cloud properties.
The unstable synoptic condition leads to cloud development on larger scales.
Aerosols make effect on the low-cloud evolution under the stable atmosphere.


The effects of aerosol on clouds are examined over the Yangtze River Delta (YRD) using 3-month satellite data during polluted wintertime from December 2013 to February 2014. The relationships between aerosol properties and cloud micro- and macro-physical parameters are analyzed in detail to clarify the differences in cloud development under various aerosol and meteorology conditions. Complex relationships between aerosol optical depth (AOD) and cloud droplet radius (CDR), liquid water path (LWP) and cloud optical thickness (COT) exist in four regions of interest (ROIs). High aerosol loading does not obviously affect LWPs and COTs. In fact, an inhibiting effect of aerosol on cloud development occurs over coastal areas for low-and medium-low clouds, more pronounced in low clouds (< 5 km) than high clouds. Low aerosol loading plays a positive role in promoting COTs of the high- and low-clouds over areas dominated by maritime aerosol. Aerosol loading exerts a significant effect on COTs, LWPs, CDRs in valley and coal industry districts except for high-cloud conditions. The value ranges of COTs, LWPs, CDRs in dry-polluted areas are lower than in other places, which suggests the dust aerosol has little effect on cloud properties. Synoptic conditions also cast strong impacts on cloud distribution, in particular an unstable synoptic condition leads to cloud development at larger horizontal and vertical scales. Ground pollution enhances the amount of low-level cloud even under stable conditions. Aerosol plays an important role in cloud evolution in the low layers of the troposphere (< 5 km) for the case of a stable atmosphere in wintertime.


Aerosol Cloud Pollution The Yangtze River Delta

Related Article

Impacts of Aerosols on the Retreat of the Sierra Nevada Glaciers in California

Hesham El-Askary , Jingjing Li, Wenzhao Li, Thomas Piechota, Tommy Ta, Ariane Jong, Xinyi Zhang, Tiantian Yang
Accepted Manuscripts
DOI: 10.4209/aaqr.2018.03.0089

A Comparative Analysis of Aerosol Microphysical, Optical and Radiative Properties during the Spring Festival Holiday over Beijing and Surrounding Regions

Yu Zheng, Huizheng Che , Xiangao Xia, Yaqiang Wang, Hujia Zhao, Hong Wang, Victor Estell├ęs, Linchang An, Ke Gui, Tianze Sun, Boshi Kang, Deguang Zhang, Chunyang Zhao, Chong Liu, Zhuozhi Shu, Yongliang Sun, Bingbo Huang, Rongfan Chai, Tianliang Zhao, Xiaoye Zhang
Accepted Manuscripts
DOI: 10.4209/aaqr.2017.10.0396