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Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations

机译:东北太平洋气溶胶吸湿性的特征:对CCN和划分云液滴数浓度的影响

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During the Marine Aerosol Cloud and Wildfire Study (MACAWS) in June and July of 2018, aerosol composition and cloud condensation nuclei (CCN) properties were measured over the N.E. Pacific to characterize the influence of aerosol hygroscopicity on predictions of ambient CCN and stratocumulus cloud droplet number concentrations (CDNC). Three vertical regions were characterized, corresponding to the marine boundary layer (MBL), an above‐cloud organic aerosol layer (AC‐OAL), and the free troposphere (FT) above the AC‐OAL. The aerosol hygroscopicity parameter (κ) was calculated from CCN measurements (κCCN) and bulk aerosol mass spectrometer (AMS) measurements (κAMS). Within the MBL, measured hygroscopicities varied between values typical of both continental environments (~0.2) and remote marine locations (~0.7). For most flights, CCN closure was achieved within 20% in the MBL. For five of the seven flights, assuming a constant aerosol size distribution produced similar or better CCN closure than assuming a constant “marine” hygroscopicity (κ?=?0.72). An aerosol‐cloud parcel model was used to characterize the sensitivity of predicted stratocumulus CDNC to aerosol hygroscopicity, size distribution properties, and updraft velocity. Average CDNC sensitivity to accumulation mode aerosol hygroscopicity is 39% as large as the sensitivity to the geometric median diameter in this environment. Simulations suggest CDNC sensitivity to hygroscopicity is largest in marine stratocumulus with low updraft velocities (0.2?m?s?1), where accumulation mode particles are most relevant to CDNC, and in marine stratocumulus or cumulus with large updraft velocities (0.6?m?s?1), where hygroscopic properties of the Aitken mode dominate hygroscopicity sensitivity.
机译:2018在六月海洋气溶胶云和野火研究(金刚鹦鹉)和7月期间,气溶胶组合物和云凝结核(CCN)性能在N.E.测量太平洋表征的环境CCN和层积云云滴数浓度(CDNC)的预测气溶胶吸湿性的影响。三个垂直区域进行了表征,对应于海洋边界层(MBL),一个以上云有机气溶胶层(AC-OAL),和AC-OAL上方的自由对流层(FT)。气溶胶吸湿性参数(κ)由CCN测量(κCCN)和体气溶胶质谱仪(AMS)测量(κAMS)来计算。内的MBL,测量hygroscopicities典型欧陆环境(〜0.2)和边远水域(〜0.7)的值之间变化。对于大多数航班,CCN被封在20%以内的MBL实现。五的七个航班,假定恒定的气雾剂的粒度分布产生相似或更好的CCN闭合比假定恒定的“海洋”的吸湿性(κ= 0.72)。气溶胶云包裹模型用于预测层积云CDNC的灵敏度表征气溶胶吸湿性,尺寸分布的特性,和上升气流的速度。到累积模式气雾剂吸湿性平均CDNC灵敏度是39%一样大,在这种环境中的几何中值直径的灵敏度。模拟表明吸湿性CDNC灵敏度是海洋层积云最大具有低上升气流速度(<0.2?米·S·1),其中积累模式颗粒是最相关的CDNC,和海洋积云或积云具有大的上升气流速度(> 0.6?米·S·1),其中,所述模式埃特主导吸湿性灵敏度的吸湿特性。

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