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Exploring the vertical profile of atmospheric organic aerosol: comparing 17 aircraft field campaigns with a global model

机译:探索大气有机气溶胶的垂直型材:与全球模型相比,17架飞机场运动

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The global organic aerosol (OA) budget is highly uncertain and past studies suggest that models substantially underestimate observed concentrations. Few of these studies have examined the vertical distribution of OA. Furthermore, many model-measurement comparisons have been performed with different models for single field campaigns. We synthesize organic aerosol measurements from 17 aircraft campaigns from 2001–2009 and use these observations to consistently evaluate a GEOS-Chem model simulation. Remote, polluted and fire-influenced conditions are all represented in this extensive dataset. Mean observed OA concentrations range from 0.2–8.2 μg sm?3 and make up 15 to 70% of non-refractory aerosol. The standard GEOS-Chem simulation reproduces the observed vertical profile, although observations are underestimated in 13 of the 17 field campaigns (the median observed to simulated ratio ranges from 0.4 to 4.2), with the largest model bias in anthropogenic regions. However, the model is best able to capture the observed variability in these anthropogenically-influenced regions (R2=0.180.57), but has little skill in remote or fire-influenced regions. The model bias increases as a function of relative humidity for 11 of the campaigns, possibly indicative of missing aqueous phase SOA production. However, model simulations of aqueous phase SOA suggest a pronounced signature in the mid-troposphere (2–6 km) which is not supported in the observations examined here. Spracklen et al. (2011) suggest adding ~100 Tg yr?1 source of anthropogenically-controlled SOA to close the measurement-model gap, which we add as anthropogenic SOA. This eliminates the model underestimate near source, but leads to overestimates aloft in a few regions and in remote regions, suggesting either additional sinks of OA or higher volatility aerosol at colder temperatures. Sensitivity simulations indicate that fragmentation of organics upon either heterogeneous or gas-phase oxidation could be an important (missing) sink of OA in models, reducing the global SOA burden by 15% and 47% respectively. The best agreement with observations is obtained when the simulated anthropogenically-controlled SOA is increased to ~100 Tg yr?1 accompanied by either a gas-phase fragmentation process or a reduction in the temperature dependence of the organic aerosol partitioning (by decreasing the enthalpy of vaporization from 42 kJ mol?1 to 25 kJ mol1). These results illustrate that models may require both additional sources and additional sinks to capture the observed concentrations of organic aerosol.
机译:全球有机气溶胶(OA)预算是高度不确定的,过去的研究表明模型大大低估了观察到的浓度。这些研究中的一些研究已经检查了OA的垂直分布。此外,已经使用不同模型进行了许多模型测量比较,用于单场运动。我们从2001 - 2009年从17架飞机运动中综合了有机气溶胶测量,并使用这些观察结果来一致地评估Geos-Chem模型模拟。远程,污染和灭火条件都在此广泛的数据集中表示。平均观察到的OA浓度范围为0.2-8.2μgsm?3,占15至70%的非难熔气溶胶。标准的地质化学模拟再现观察到的垂直轮廓,尽管在17个现场运动中的13个中低估了观察的观察(观察到模拟比率为0.4至4.2),具有最大的人为地区的模型偏差。然而,该模型能够最能捕获这些受试者影响的区域中观察到的可变性(R2 = 0.180.57),但在偏远或防火区域的技能不大。模型偏差随着11个活动的相对湿度的函数而增加,可能指示缺少水相SOA生产。然而,水相SOA的模型模拟表明了对流层中层(2-6公里)的明显签名,这在此处检测的观察中不受支持。 Spracklen等人。 (2011)建议添加〜100 Tg Yr?1人为控制的SOA来源以关闭测量模型间隙,我们添加为人为SOA。这消除了低估了近源的模型,但导致在少数地区和偏远地区高估高度高估,表明在较冷的温度下的OA或更高挥发性气溶胶的额外汇。敏感性模拟表明有机物在非均相或气相氧化时的破碎物可能是模型中的重要(缺失)水槽,减少了全球SOA负担分别为15%和47%。当模拟的人体控制的SOA增加到左右的伴随气相碎片过程或有机气溶胶分配的温度依赖性的减少时,获得了与观察结果的最佳协议(通过减少焓蒸发从42 kJ mol?1到25 kj mol1)。这些结果说明了模型可能需要额外的源和额外的水槽来捕获观察到的有机气溶胶浓度。
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