GSTDTAP  > 气候变化
DOI10.1029/2019JD031598
Synergetic Satellite Trend Analysis of Aerosol and Warm Cloud Properties ver Ocean and Its Implication for Aerosol-Cloud Interactions
Bai, Heming1,2,3,4; Wang, Minghuai1,2,3; Zhang, Zhibo5; Liu, Yawen1,2,3
2020-03-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2020
卷号125期号:6
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Decadal-scale trends in aerosol and cloud properties provide important ways for understanding aerosol-cloud interactions. In this paper, by using MODIS products (2003-2017), we analyze synergetic trends in aerosol properties and warm cloud properties over global ocean. Cloud droplet number concentration (CDNC) and aerosol parameters (aerosol optical depth, angstrom exponent, and aerosol index) show consistent decreasing trend over East Coast of the United States (EUS), west coast of Europe (WEU), and east coast of China (EC), and no significant trend in liquid water path is found over these regions during the period 2003-2017. Over regions with significant long-term trends of aerosol loading and CDNC (e.g., EUS and WEU), the sensitivity of CDNC to aerosol loading based on the long-term trend is closer to those derived from ground and aircraft observations and larger than those derived from instantaneous satellite observations, providing an alternative way for quantifying aerosol-cloud interactions. A clear shift in the normalized probability density function of CDNC between the first 5 years (2003-2007) and the last 5 years (2013-2017) is found, with a decrease of around 50% in the occurrence frequency of high CDNC (>400 cm(-3)) over EUS and WEU. The relative variances of cloud droplet effective radius generally decrease with decreasing aerosol loading, providing large-scale evidence for the effects of anthropogenic aerosols on the dispersion of cloud droplet size distribution. The long-term satellite data sets provide great opportunities for quantifying aerosol-cloud interactions and further confronting these interactions in climate models in the future.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000529111600041
WOS关键词DROPLET NUMBER CONCENTRATION ; LIQUID WATER PATH ; LONG-TERM TRENDS ; OPTICAL-THICKNESS ; TIME-SERIES ; 2 DECADES ; MODIS ; CHINA ; POLLUTION ; MODEL
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/280145
专题气候变化
作者单位1.Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China;
2.Nanjing Univ, Joint Int Res Lab Atmospher & Earth Syst Sci, Nanjing, Peoples R China;
3.Nanjing Univ, Inst Climate & Global Change Res, Nanjing, Peoples R China;
4.Nantong Univ, Res Ctr Intelligent Informat Technol, Nantong, Peoples R China;
5.Univ Maryland Baltimore Cty, Phys Dept, Baltimore, MD 21228 USA
推荐引用方式
GB/T 7714
Bai, Heming,Wang, Minghuai,Zhang, Zhibo,et al. Synergetic Satellite Trend Analysis of Aerosol and Warm Cloud Properties ver Ocean and Its Implication for Aerosol-Cloud Interactions[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(6).
APA Bai, Heming,Wang, Minghuai,Zhang, Zhibo,&Liu, Yawen.(2020).Synergetic Satellite Trend Analysis of Aerosol and Warm Cloud Properties ver Ocean and Its Implication for Aerosol-Cloud Interactions.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,125(6).
MLA Bai, Heming,et al."Synergetic Satellite Trend Analysis of Aerosol and Warm Cloud Properties ver Ocean and Its Implication for Aerosol-Cloud Interactions".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 125.6(2020).
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