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DOI	10.5194/acp-22-7353-2022
	Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations
	Jia, Hailing; Quaas, Johannes; Gryspeerdt, Edward; Bohm, Christoph; Sourdeval, Odran
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	7353
结束页码	7372
卷号	22 期号:11 页码:20
英文摘要	Aerosol-cloud interaction is the most uncertain component of the overall anthropogenic forcing of the climate, in which cloud droplet number concentration (N-d) sensitivity to aerosol (S) is a key term for the overall estimation. However, satellite-based estimates of S are especially challenging, mainly due to the difficulty in disentangling aerosol effects on N-d from possible confounders. By combining multiple satellite observations and reanalysis, this study investigates the impacts of (a) updraft, (b) precipitation, (c) retrieval errors, and (d) vertical co-location between aerosol and cloud on the assessment of S in the context of marine warm (liquid) clouds. Our analysis suggests that S increases remarkably with both cloud-base height and cloud geometric thickness (proxies for vertical velocity at cloud base), consistent with stronger aerosol-cloud interactions at larger updraft velocity for midlatitude and low-latitude clouds. In turn, introducing the confounding effect of aerosol-precipitation interaction can artificially amplify S by an estimated 21 %, highlighting the necessity of removing precipitating clouds from analyses of S. It is noted that the retrieval biases in aerosol and cloud appear to underestimate S, in which cloud fraction acts as a key modulator, making it practically difficult to balance the accuracies of aerosol-cloud retrievals at aggregate scales (e.g., 1 degrees x 1 degrees grid). Moreover, we show that using column-integrated sulfate mass concentration (SO4C) to approximate sulfate concentration at cloud base (SO4B) can result in a degradation of correlation with N-d, along with a nearly twofold enhancement of S, mostly attributed to the inability of SO4C to capture the full spatiotemporal variability of SO4B. These findings point to several potential ways forward to practically account for the major influential factors by means of satellite observations and reanalysis, aiming at optimal observational estimates of global radiative forcings due to the Twomey effect and also cloud adjustments.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000807406100001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273927
作者单位	Leipzig University; Imperial College London; Imperial College London; University of Cologne; Centre National de la Recherche Scientifique (CNRS); Universite de Lille - ISITE; Universite de Lille
推荐引用方式 GB/T 7714	Jia, Hailing,Quaas, Johannes,Gryspeerdt, Edward,et al. Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations[J],2022,22(11):20.
APA	Jia, Hailing,Quaas, Johannes,Gryspeerdt, Edward,Bohm, Christoph,&Sourdeval, Odran.(2022).Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(11),20.
MLA	Jia, Hailing,et al."Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.11(2022):20.