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Quantifying cloud adjustments and the radiative forcing due to aerosol–cloud interactions in satellite observations of warm marine clouds

机译:由于温暖的海洋云卫星观测中的气溶胶云相互作用,量化云调整和辐射强制

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Aerosol–cloud interactions and their resultant forcing remains one of the largest sources of uncertainty in future climate scenarios. The effective radiative forcing due to aerosol–cloud interactions (ERFaci) is a combination of two different effects, namely how aerosols modify cloud brightness (RFaci, intrinsic) and how cloud extent reacts to aerosol (cloud adjustments CA; extrinsic). Using satellite observations of warm clouds from the NASA A-Train constellation from 2007 to 2010 along with MERRA-2 Reanalysis and aerosol from the SPRINTARS model, we evaluate the ERFaci in warm, marine clouds and its components, the RFaciwarm and CAwarm, while accounting for the liquid water path and local environment. We estimate the ERFaciwarm to be -0.32±0.16 Wm?2. The RFaciwarm dominates the ERFaciwarm contributing 80 % (-0.21±0.15 Wm?2), while the CAwarm enhances this cooling by 20 % (-0.05±0.03 Wm?2). Both the RFaciwarm and CAwarm vary in magnitude and sign regionally and can lead to opposite, negating effects under certain environmental conditions. Without considering the two terms separately and without constraining cloud–environment interactions, weak regional ERFaciwarm signals may be erroneously attributed to a damped susceptibility to aerosol.
机译:气溶胶云相互作用及其产生的强迫仍然是未来的气候情景中最大的不确定性源之一。由于气溶胶云相互作用(ERFACI)的有效辐射强制是两种不同效果的组合,即气溶胶如何修饰云亮度(RFACI,内在)以及云范围如何对气溶胶(云调节CA;外在)反应。从2007年到2010年的美国宇航局A车星座的卫星观察与来自新航空航天局的A-Train Constellation以及来自Sprintars模型的Merra-2再分析和气溶胶,我们评估了温暖,海洋云及其部件,RFaciwarm和Cawarm的Erfaci,同时会计用于液体水路和局部环境。我们估计Erfaciwarm至-0.32±0.16 WM?2。 RFACIWARM占主导地位的ERFACIWARM贡献80%(-0.21±0.15 WM?2),而Cawarm则增强该冷却20%(-0.05±0.03WM?2)。 RFACIWARM和Cawarm均幅度幅度和征地,可以导致某些环境条件下的相反,否定效果。在不考虑两个术语的情况下,没有约束云环境相互作用,弱区域Erfaciwarm信号可能被错误地归因于对气溶胶的阻尼易感性。

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