Aerosol Vertical Turbulent Mass Flux Retrievals Through Novel Remote Sensing Algorithm

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2024-10-24 DOI:10.1029/2023JD040322
Ajmal Rasheeda Satheesh, Markus D. Petters, Nicholas Meskhidze
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Abstract

Integrated measurements of aerosol, radiation, cloud, and turbulent transport in the planetary boundary layer (PBL) are essential for understanding and modeling climate and air quality. Here, we developed a new technique for the identification of convective turbulent regions and deriving the vertical distribution of aerosol turbulent mass fluxes within PBL. The algorithm uses retrievals from coherent Doppler lidars and a high spectral resolution lidar. The technique was applied to study particle mass fluxes over 2 months (November–December 2020) during the campaign conducted at the DOE Atmospheric Radiation Measurement Southern Great Plains (SGP) site in Lamont, Oklahoma. The algorithm developed here is capable of continuously deriving vertically resolved (curtains) aerosol mass fluxes. Our data analysis shows that at the site, the 30-min averaged fluxes at 135 m above the surface were mainly positive (upward) at ∼1 μg m−2 s−1, suggesting that the surface is the primary source of the particle mass supplied to the boundary layer at the SGP site. Analyses of the individual case studies have revealed that not all the derived fluxes can be linked to surface emissions. Both positive and negative values in a range of ±5 μg m−2 s−1 can be caused by convective thermals interacting between the residual layer and the mixed layer and by rotation of the horizontal wind with the height. Large erroneous negative fluxes can also be caused by drizzling/precipitating clouds. We anticipate that the application of the current technique will lead to a more realistic representation of aerosol mass budgets and bidirectional mixing rates.

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通过新型遥感算法检索气溶胶垂直湍流质量通量
行星边界层(PBL)中气溶胶、辐射、云和湍流传输的综合测量对于理解和模拟气候和空气质量至关重要。在此,我们开发了一种新技术,用于识别对流湍流区域,并推导出行星边界层内气溶胶湍流质量通量的垂直分布。该算法使用相干多普勒激光雷达和高光谱分辨率激光雷达的检索结果。在俄克拉荷马州拉蒙特的能源部大气辐射测量南部大平原(SGP)站点开展的活动中,该技术被用于研究为期两个月(2020 年 11 月至 12 月)的粒子质量通量。这里开发的算法能够连续得出垂直分辨(帘)气溶胶质量通量。我们的数据分析显示,在该站点,距地表 135 米处的 30 分钟平均通量主要为正值(向上),为 ∼1 μg m-2 s-1,这表明地表是 SGP 站点边界层颗粒质量的主要来源。对个别案例研究的分析表明,并非所有得出的通量都与地表排放有关。在 ±5 μg m-2 s-1 范围内的正值和负值都可能是由残余层和混合层之间相互作用的对流热气流以及水平风随高度旋转造成的。大量错误的负通量也可能是由细雨/沉淀云造成的。我们预计,当前技术的应用将使气溶胶质量预算和双向混合率得到更真实的呈现。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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