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Estimated desert-dust ice nuclei profiles from polarization lidar: methodology and case studies

机译:极化激光雷达估计的沙漠-尘埃冰核轮廓:方法和案例研究

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A lidar method is presented that permits the estimation of heightprofiles of ice nuclei concentrations (INC) in desert dust layers. Thepolarization lidar technique is applied to separate dust and non-dustbackscatter and extinction coefficients. The desert dust extinctioncoefficients σd are then converted to aerosol particle numberconcentrations APC280 which consider particles with radius> 280 nm only. By using profiles of APC280 and ambienttemperature T along the laser beam, the profile of INC can be estimatedwithin a factor of 3 by means of APC-T-INC parameterizations from theliterature. The observed close relationship between σd at 500 nmand APC280 is of key importance for a successful INC retrieval. Westudied this link by means of AERONET (Aerosol Robotic Network) sun/skyphotometer observations at Morocco, Cabo Verde, Barbados, and Cyprus duringdesert dust outbreaks. The new INC retrieval method is applied to lidarobservations of dust layers with the spaceborne lidar CALIOP (Cloud AerosolLidar with Orthogonal Polarization) during two overpasses over the EARLINET(European Aerosol Research Lidar Network) lidar site of the Cyprus Universityof Technology (CUT), Limassol (34.7° N, 33° E), Cyprus. Thegood agreement between the CALIOP and CUT lidar retrievals of σd, APC280, and INC profiles corroborates the potential of CALIOP toprovide 3-D global desert dust APC280 and INC data sets.
机译:提出了一种激光雷达方法,该方法可以估算沙漠尘埃层中冰核浓度(INC)的高度剖面。极化激光雷达技术用于分离灰尘和非灰尘后向散射和消光系数。然后将沙漠尘埃消光系数σ d 转换为仅考虑半径大于280 nm的气溶胶粒子数浓度APC 280 。通过使用沿激光束的APC 280 和环境温度 T 的分布图,可以通过APC- T 将INC的分布图估计为3倍。 i> -INC来自文献的参数化。观察到的在500 nm处的σ d 与APC 280 之间的紧密关系对于成功进行INC检索至关重要。在沙漠,沙尘暴爆发期间,通过在摩洛哥,佛得角,巴巴多斯和塞浦路斯的AERONET(气溶胶机器人网络)日/光度计观测对这一链接进行了研究。新的INC检索方法适用于塞浦路斯科技大学(CUT)利马索尔(EUT)的EARLINET(欧洲气溶胶研究激光雷达网络)激光雷达站点的两次立交时,通过星载激光雷达CALIOP(正交偏振云气溶胶激光雷达)对尘埃层进行激光雷达探测。 34.7°N,33°E),塞浦路斯。 CALIOP和CUT激光雷达的σ d ,APC 280 和INC剖面的良好一致性证实了CALIOP提供3D全球沙漠尘埃APC 280的潜力和INC数据集。

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