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Cloud condensation nuclei in pristine tropical rainforest air of Amazonia: size-resolved measurements and modeling of atmospheric aerosol composition and CCN activity

机译:亚马逊原始热带雨林空气中的云凝结核:尺寸分辨测量和大气气溶胶成分和CCN活性的建模

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摘要

Atmospheric aerosol particles serving as cloud condensation nuclei (CCN) arekey elements of the hydrological cycle and climate. We have measured andcharacterized CCN at water vapor supersaturations in the range of =0.10–0.82%in pristine tropical rainforest air during the AMAZE-08 campaign in central Amazonia.The effective hygroscopicity parameters describing the influence of chemicalcomposition on the CCN activity of aerosol particles varied in the range ofκ≈0.1–0.4 (0.16±0.06 arithmetic mean and standard deviation).The overall median value of κ≈0.15 was by a factor of two lowerthan the values typically observed for continental aerosols in other regionsof the world. Aitken mode particles were less hygroscopic than accumulationmode particles (κ≈0.1 at ≈50 nm; κ≈0.2 at≈200 nm), which is in agreement with earlier hygroscopicity tandemdifferential mobility analyzer (H-TDMA) studies.The CCN measurement results are consistent with aerosol mass spectrometry(AMS) data, showing that the organic mass fraction () wason average as high as ~90% in the Aitken mode (≤100 nm) anddecreased with increasing particle diameter in the accumulation mode(~80% at ≈200 nm). The κ values exhibited a negative linearcorrelation with (=0.81), and extrapolation yielded thefollowing effective hygroscopicity parameters for organic and inorganicparticle components: κ≈0.1 which can be regarded as theeffective hygroscopicity of biogenic secondary organic aerosol (SOA) andκ≈0.6 which is characteristic for ammonium sulfate andrelated salts. Both the size dependence and the temporal variability ofeffective particle hygroscopicity could be parameterized as a function ofAMS-based organic and inorganic mass fractions (κ=κ×+κ×).The CCN number concentrationspredicted with κ were in fair agreement with the measurement results(~20% average deviation). The median CCN number concentrations at=0.1–0.82% ranged from ≈35 cm to≈160 cm, the median concentration of aerosolparticles larger than 30 nm was ≈200 cm, and thecorresponding integral CCN efficiencies were in the range of/≈0.1 to /≈0.8.Although the number concentrations and hygroscopicity parameters were muchlower in pristine rainforest air, the integral CCN efficiencies observedwere similar to those in highly polluted megacity air. Moreover, modelcalculations of assuming an approximate global average value ofκ≈0.3 for continental aerosols led to systematic overpredictions,but the average deviations exceeded ~50% only at low water vaporsupersaturation (0.1%) and low particle number concentrations (≤100 cm).Model calculations assuming a constant aerosol size distributionled to higher average deviations at all investigated levels ofsupersaturation: ~60% for the campaign average distribution and~1600% for a generic remote continental size distribution. Thesefindings confirm earlier studies suggesting that aerosol particle number andsize are the major predictors for the variability of the CCN concentrationin continental boundary layer air, followed by particle composition andhygroscopicity as relatively minor modulators.Depending on the required and applicable level of detail, the informationand parameterizations presented in this paper should enable efficientdescription of the CCN properties of pristine tropical rainforest aerosolsof Amazonia in detailed process models as well as in large-scale atmosphericand climate models.
机译:用作云凝结核(CCN)的大气气溶胶颗粒是水文循环和气候的关键要素。我们在亚马逊河中部的AMAZE-08活动期间,在原始热带雨林空气中水汽过饱和度在= 0.10–0.82%的范围内测量并表征了CCN。有效吸湿性参数描述了化学成分对气溶胶颗粒CCN活性的影响。 κ≈0.15的总中值比世界其他地区陆相气溶胶的典型观测值低两倍,约为≈≈0.1-0.4(算术平均值和标准偏差为0.16±0.06)。 Aitken模式粒子的吸湿性不如累积模式粒子(≈50nm时的≈≈0.1;≈200nm时的κ≈0.2),这与早期的吸湿性串联微分迁移率分析仪(H-TDMA)研究一致.CCN测量结果是一致的气溶胶质谱(AMS)数据显示,在Aitken模式(≤100nm)中,有机物质量分数()平均平均高达〜90%,在累积模式中有机物质量分数()随粒径的增加而减小(≈200时为〜80%纳米)。 κ值与(= 0.81)呈负线性相关,外推得出以下有机和无机颗粒组分的有效吸湿性参数:κ≈0.1,可被视为生物源性有机有机气溶胶(SOA)的有效吸湿性;κ≈0.6,具有特征性用于硫酸铵和相关盐。有效颗粒吸湿性的大小依赖性和时间变异性都可以作为基于AMS的有机和无机质量分数(κ=κ×+κ×)的函数进行参数化。用κ预测的CCN数浓度与测量结果完全吻合(约20%的平均偏差)。在= 0.1–0.82%时,CCN的中位数浓度在≈35cm至≈160cm范围内,大于30 nm的气溶胶颗粒的中位数浓度在≈200cm范围内,相应的整体CCN效率在/≈0.1到/之间≈0.8。尽管原始雨林空气中的数量浓度和吸湿性参数要低得多,但观察到的整体CCN效率与高污染大城市空气中的CCN效率相似。此外,假设大陆气溶胶的全球平均值约为κ≈0.3的模型计算会导致系统的过度预测,但仅在低水蒸气过饱和度(0.1%)和低颗粒数浓度(≤100cm)时,平均偏差才超过〜50%。假设气溶胶尺寸恒定,并且在所有研究的过饱和水平上均分配给较高的平均偏差,则计算结果是:运动平均值分布为〜60%,一般偏远大陆尺寸分布为〜1600%。这些发现证实了较早的研究表明,气溶胶颗粒的数量和大小是大陆边界层空气中CCN浓度变化的主要预测因子,其次是相对较小的调节剂颗粒组成和吸湿性。根据所需的详细程度和适用的标准,本文提供了信息和参数设置本文应能够在详细的过程模型以及大规模大气和气候模型中有效描述亚马逊原始热带雨林气溶胶的CCN特性。

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