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Quantifying wet scavenging processes in aircraft observations of nitric acid and cloud condensation nuclei

机译:量化飞机观察硝酸和云凝结核的湿法清除过程

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摘要

Wet scavenging is an important sink term for many atmospheric constituents. However, production of precipitation in clouds is poorly understood, and pollutant removal through wet scavenging is difficult to separate from removal through dry scavenging, atmospheric mixing, or chemical transformations. Here we use airborne data from the International Consortium for Atmospheric Research on Transport and Transformation project to show that measured ratios of soluble and insoluble trace gases provide a useful indicator for quantifying wet scavenging. Specifically, nitric acid (HNO3), produced as a by-product of combustion, is highly soluble and removed efficiently from clouds by rain. Regional carbon monoxide (CO), which is also an indicator of anthropogenic activity, is insoluble and has a lifetime against oxidation of about a month. We find that relative concentrations of HNO3 to regional CO observed in clear air are negatively correlated with precipitation production rates in nearby cloudy air (r2 = 0.85). Also, we show that relative concentrations of HNO3 and CO can be used to quantify cloud condensation nucleus (CCN) scavenging by precipitating clouds. This is because CCN and HNO3 molecules are both fully soluble in cloud water and hence can be treated as analogous species insofar as wet scavenging is concerned. While approximate, the practical advantage of this approach to scavenging studies is that it requires only measurement in clear air and no a priori knowledge of the cloud or aerosol properties involved.
机译:湿气清除是许多大气成分的重要下沉术语。但是,人们对云降水的产生知之甚少,通过湿清除去除污染物与通过干清除,大气混合或化学转化去除污染物很难分开。在这里,我们使用国际运输与转换大气研究联合会项目的机载数据来显示,可测量的可溶和不溶性微量气体比率为量化湿气清除提供了有用的指标。具体而言,作为燃烧副产物产生的硝酸(HNO3)具有高度溶解性,并可以通过雨水有效地从云中清除。区域性一氧化碳(CO)也是人为活动的指标,它是不溶的,抗氧化寿命约为一个月。我们发现,在晴朗的空气中观察到的HNO3与区域性CO的相对浓度与附近多云的空气中的降水产生率呈负相关(r2 = 0.85)。另外,我们显示HNO3和CO的相对浓度可用于通过沉淀云来量化清除云凝结核(CCN)的能力。这是因为CCN和HNO3分子都完全溶于云水中,因此就湿清除而言可以视为类似物质。虽然近似,但这种清除研究方法的实际优势在于,它仅需要在晴朗的空气中进行测量,而无需先验知识即可了解云或气溶胶特性。

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