气候变化领域集成服务门户(CCPortal): Assessment of aerosol–cloud–radiation correlations in satellite observations; climate models and reanalysis

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DOI	10.1007/s00382-018-4384-z
	Assessment of aerosol–cloud–radiation correlations in satellite observations; climate models and reanalysis
	Bender F.A.-M.; Frey L.; McCoy D.T.; Grosvenor D.P.; Mohrmann J.K.
发表日期	2019
ISSN	0930-7575
起始页码	4371
结束页码	4392
卷号	52 期号:2020-07-08
英文摘要	Representing large-scale co-variability between variables related to aerosols, clouds and radiation is one of many aspects of agreement with observations desirable for a climate model. In this study such relations are investigated in terms of temporal correlations on monthly mean scale, to identify points of agreement and disagreement with observations. Ten regions with different meteorological characteristics and aerosol signatures are studied and correlation matrices for the selected regions offer an overview of model ability to represent present day climate variability. Global climate models with different levels of detail and sophistication in their representation of aerosols and clouds are compared with satellite observations and reanalysis assimilating meteorological fields as well as aerosol optical depth from observations. One example of how the correlation comparison can guide model evaluation and development is the often studied relation between cloud droplet number and water content. Reanalysis, with no parameterized aerosol–cloud coupling, shows weaker correlations than observations, indicating that microphysical couplings between cloud droplet number and water content are not negligible for the co-variations emerging on larger scale. These observed correlations are, however, not in agreement with those expected from dominance of the underlying microphysical aerosol–cloud couplings. For instance, negative correlations in subtropical stratocumulus regions show that suppression of precipitation and subsequent increase in water content due to aerosol is not a dominating process on this scale. Only in one of the studied models are cloud dynamics able to overcome the parameterized dependence of rain formation on droplet number concentration, and negative correlations in the stratocumulus regions are reproduced. © 2018, The Author(s).
英文关键词	Aerosol–cloud–radiation interaction; GCM-evaluation; Reanalysis; Satellite observations; Volcanic aerosol
语种	英语
scopus关键词	aerosol; atmospheric general circulation model; climate modeling; climate variation; optical depth; radiative forcing; satellite imagery; stratocumulus; volcanic aerosol
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146389
作者单位	Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden; School of Earth and Environment, Institute of Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom; National Centre for Atmospheric Science, University of Leeds, Leeds, United Kingdom; Department of Atmospheric Sciences, University of Washington, Seattle, United States
推荐引用方式 GB/T 7714	Bender F.A.-M.,Frey L.,McCoy D.T.,等. Assessment of aerosol–cloud–radiation correlations in satellite observations; climate models and reanalysis[J],2019,52(2020-07-08).
APA	Bender F.A.-M.,Frey L.,McCoy D.T.,Grosvenor D.P.,&Mohrmann J.K..(2019).Assessment of aerosol–cloud–radiation correlations in satellite observations; climate models and reanalysis.Climate Dynamics,52(2020-07-08).
MLA	Bender F.A.-M.,et al."Assessment of aerosol–cloud–radiation correlations in satellite observations; climate models and reanalysis".Climate Dynamics 52.2020-07-08(2019).