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CALIPSO polar stratospheric cloud observations: second-generation detection algorithm and composition discrimination

机译:CALIPSO平流层极地云观测:第二代探测算法和成分识别

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摘要

This paper focuses on polar stratospheric cloud (PSC)measurements by the CALIOP (Cloud-Aerosol LIdar with OrthogonalPolarization) lidar system onboard the CALIPSO (Cloud-Aerosol Lidar andInfrared Pathfinder Satellite Observations) spacecraft, which has beenoperating since June 2006. We describe a second-generation PSC detectionalgorithm that utilizes both the CALIOP 532-nm scattering ratio (ratio oftotal-to-molecular backscatter coefficients) and 532-nm perpendicularbackscatter coefficient measurements for cloud detection. The inclusion ofthe perpendicular backscatter measurements enhances the detection of tenuousPSC mixtures containing low number densities of solid (likely nitric acidtrihydrate, NAT) particles and leads to about a 15% increase in PSC arealcoverage compared with our original algorithm. Although these low numberdensity NAT mixtures would have a minimal impact on chlorine activation dueto their relatively small particle surface area, these particles may play asignificant role in denitrification and therefore are an important componentof our PSC detection. In addition, the new algorithm allows discriminationof PSCs by composition in terms of their ensemble backscatter anddepolarization in a manner analogous to that used in previous ground-basedand airborne lidar PSC studies. Based on theoretical optical calculations,we define four CALIPSO-based composition classes which we call supercooledternary solution (STS), ice, and Mix1 and Mix2, denoting mixtures of STSwith NAT particles in lower or higher number densities/volumes,respectively. We examine the evolution of PSCs for three Antarctic and twoArctic seasons and illustrate the unique attributes of the CALIPSO PSCdatabase. These analyses show substantial interannual variability in PSCareal coverage and also the well-known contrast between the Antarctic andArctic. The CALIPSO data also reveal seasonal and altitudinal variations inAntarctic PSC composition, which are related to changes in HNO andHO observed by the Microwave Limb Sounder on the Aura satellite.
机译:本文着重介绍了自2006年6月以来一直运行的CALIPSO(云气溶胶激光雷达和红外探路者卫星观测)航天器上的CALIOP(带有正交极化的云气溶胶激光雷达)激光雷达系统对极平流层云(PSC)的测量。代PSC检测算法,同时利用CALIOP 532 nm散射比(总分子反向散射系数之比)和532 nm垂直反向散射系数测量进行云检测。与我们的原始算法相比,垂直背向散射测量结果增强了对包含低密度固体(可能是硝酸三水合物,NAT)颗粒的低密度PSC混合物的检测,并导致PSC面积覆盖率提高了约15%。尽管这些低密度NAT混合物由于其相对较小的颗粒表面积而对氯活化的影响最小,但这些颗粒在反硝化中可能起着重要作用,因此是我们PSC检测的重要组成部分。此外,该新算法允许按照其整体后向散射和去极化的成分来区分PSC,其方式类似于先前的地面和机载激光雷达PSC研究中使用的方式。基于理论光学计算,我们定义了四种基于CALIPSO的成分类,我们将其称为过冷三元溶液(STS),冰以及Mix1和Mix2,分别表示STS与NAT颗粒的混合物,其密度或体积更低或更高。我们研究了三个南极和两个北极季节PSC的演变,并说明了CALIPSO PSC数据库的独特属性。这些分析表明PSCareal覆盖率存在较大的年际变化,并且也表明了南极和北极之间的众所周知的对比。 CALIPSO的数据还揭示了南极PSC组成的季节性和高度变化,这与Aura卫星上的微波探空仪观测到的HNO和HO的变化有关。

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