气候变化领域集成服务门户(CCPortal): Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods

CCPortal

DOI	10.1038/s41467-021-23888-1
	Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods
	Jia H.; Ma X.; Yu F.; Quaas J.
发表日期	2021
ISSN	2041-1723
卷号	12 期号:1
英文摘要	Satellite-based estimates of radiative forcing by aerosol–cloud interactions (RFaci) are consistently smaller than those from global models, hampering accurate projections of future climate change. Here we show that the discrepancy can be substantially reduced by correcting sampling biases induced by inherent limitations of satellite measurements, which tend to artificially discard the clouds with high cloud fraction. Those missed clouds exert a stronger cooling effect, and are more sensitive to aerosol perturbations. By accounting for the sampling biases, the magnitude of RFaci (from −0.38 to −0.59 W m−2) increases by 55 % globally (133 % over land and 33 % over ocean). Notably, the RFaci further increases to −1.09 W m−2 when switching total aerosol optical depth (AOD) to fine-mode AOD that is a better proxy for CCN than AOD. In contrast to previous weak satellite-based RFaci, the improved one substantially increases (especially over land), resolving a major difference with models. © 2021, The Author(s).
语种	英语
scopus关键词	climate change; optical depth; radiative forcing; satellite data; volcanic cloud; aerosol; article; cognitive control network; cooling; optical depth; radiative forcing; sampling bias; sea
来源期刊	Nature Communications
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/251410
作者单位	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, and Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, China; Atmospheric Sciences Research Center, University at Albany, Albany, NY, United States; Institute for Meteorology, Universität Leipzig, Leipzig, Germany
推荐引用方式 GB/T 7714	Jia H.,Ma X.,Yu F.,等. Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods[J],2021,12(1).
APA	Jia H.,Ma X.,Yu F.,&Quaas J..(2021).Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods.Nature Communications,12(1).
MLA	Jia H.,et al."Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods".Nature Communications 12.1(2021).