气候变化领域集成服务门户(CCPortal): Quantifying albedo susceptibility biases in shallow clouds

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DOI	10.5194/acp-22-3303-2022
	Quantifying albedo susceptibility biases in shallow clouds
	Feingold, Graham; Goren, Tom; Yamaguchi, Takanobu
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	3303
结束页码	3319
卷号	22 期号:5 页码:17
英文摘要	The evaluation of radiative forcing associated with aerosol-cloud interactions remains a significant source of uncertainty in future climate projections. The problem is confounded by the fact that aerosol particles influence clouds locally and that averaging to larger spatial and/or temporal scales carries biases that depend on the heterogeneity and spatial correlation of the interacting fields and the nonlinearity of the responses Mimicking commonly applied satellite data analyses for calculation of albedo susceptibility S-o, we quantify S-o aggregation biases using an ensemble of 127 large eddy simulations of marine stratocumulus. We explore the cloud field properties that control this spatial aggregation bias and quantify the bias for a large range of shallow stratocumulus cloud conditions manifesting a variety of morphologies and ranges of cloud fractions. We show that S-o spatial aggregation biases can be on the order of hundreds of percent, depending on the methodology. Key uncertainties emanate from the typically applied adiabatic drop concentration Nd retrieval, the correlation between aerosol and cloud fields, and the extent to which averaging reduces the variance in cloud albedo A(c) and N-d. S-o biases are more often positive than negative and are highly correlated with biases in the liquid water path adjustment. Temporal aggregation biases are shown to offset spatial aggregation biases. Both spatial and temporal biases have significant implications for observationally based assessments of aerosol indirect effects and our inferences of underlying aerosol-cloud-radiation effects.
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:000771263700001
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/273623
作者单位	National Oceanic Atmospheric Admin (NOAA) - USA; Leipzig University; University of Colorado System; University of Colorado Boulder
推荐引用方式 GB/T 7714	Feingold, Graham,Goren, Tom,Yamaguchi, Takanobu. Quantifying albedo susceptibility biases in shallow clouds[J],2022,22(5):17.
APA	Feingold, Graham,Goren, Tom,&Yamaguchi, Takanobu.(2022).Quantifying albedo susceptibility biases in shallow clouds.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(5),17.
MLA	Feingold, Graham,et al."Quantifying albedo susceptibility biases in shallow clouds".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.5(2022):17.