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Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations

机译:通过测量的线性颗粒去极化率(垂直分辨)和模拟评估气溶胶的质量浓度

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Multi-wavelength depolarization Raman lidar measurements from Magurele, Romania are used in this study along with simulated mass-extinction efficiencies to calculate the mass concentration profiles of different atmospheric components, due to their different depolarization contribution to the 532 nm backscatter coefficient. Linear particle depolarization ratio (δ~(part)) was computed using the relative amplification factor and the system-dependent molecular depolarization. The low depolarizing component was considered as urban/smoke, with a mean δ~(part) of 3 %, while for the high depolarizing component (mineral dust) a mean δ~(part) of 35 % was assumed. For this study 11 months of lidar measurements were analysed. Two study cases are presented in details: one for a typical Saharan dust aerosol intrusion, 10 June 2012 and one for 12 July 2012 when a lofted layer consisting of biomass burning smoke extended from 3 to 4.5 km height. Optical Properties of Aerosols and Clouds software package (OPAC) classification and conversion factors were used to calculate mass concentrations. We found that calibrated depolarization measurements are critical in distinguishing between smoke-reach aerosol during the winter and dust-reach aerosol during the summer, as well as between elevated aerosol layers having different origins. Good agreement was found between lidar retrievals and DREAM- Dust REgional Atmospheric Model forecasts in cases of Saharan dust. Our method was also compared against LIRIC (The Lidar/Radiometer Inversion Code) and very small differences were observed.
机译:在这项研究中,使用了罗马尼亚Magurele的多波长去极化拉曼激光雷达测量结果以及模拟的质量消灭效率,以计算不同大气成分的质量浓度分布,这是因为它们对532 nm后向散射系数的贡献不同。利用相对放大因子和与系统有关的分子去极化来计算线性粒子去极化率(δ〜(部分))。低去极化分量被认为是城市/烟,平均δ〜(部分)为3%,而高去极化分量(矿物粉尘)的平均δ〜(部分)为35%。这项研究分析了11个月的激光雷达测量。详细介绍了两个研究案例:一个是针对典型的撒哈拉粉尘气溶胶入侵,2012年6月10日,另一个是2012年7月12日,由生物质燃烧的烟组成的放样层从3 km延伸到4.5 km。气溶胶和云的光学特性软件包(OPAC)的分类和转换因子用于计算质量浓度。我们发现,校准后的去极化测量对于区分冬季的烟雾到达气溶胶和夏季的尘埃到达气溶胶,以及不同来源的高浓度气溶胶层之间是至关重要的。在撒哈拉尘埃的案例中,激光雷达的反演与DREAM-尘埃区域大气模型预报之间发现了很好的一致性。我们的方法也与LIRIC(激光雷达/辐射计反演代码)进行了比较,观察到很小的差异。

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