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Polar stratospheric cloud (PSC) classification using LIDAR measurements from the recent SAGE III ozone loss and validation experiment (SOLVE)

机译:极地平流层云(PSC)使用LIDAR测量的分类来自最近的Sage III臭氧丢失和验证实验(解决)

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Lidar measurements from the recent SAGE III Ozone Loss and Validation Experiment (SOLVE) have been used to identify the number of classes of Polar Stratospheric Clouds (PSCs) and their corresponding characteristics. The backscatter lidar, flown aboard a DC8 aircraft, measures profiles of backscatter at 532 nm and 1064 nm, and depolarization at 532 nm. These data along with the color ratio were used to categorize PSCs using a clustering algorithm. For each group or cluster, the central values or medoids describe the optical characteristics of the clouds. For this preliminary study, five such groups were determined with medoid scattering ratios of 1.13, 11.90, 47.68, 71.07, and, 88.96 at 532 nm. The mean quality index of 0.82 for the five groups shows that the clusters are sufficiently distinct from each other.
机译:最近SAGE III臭氧丢失和验证实验(解决)的LIDAR测量已被用于识别极地平流层云(PSC)的类别数及其相应特性。背散雷达,在DC8飞机上飞行,测量532nm和1064nm的反散射器的曲线,以及532 nm的去极化。这些数据以及颜色比率用于使用聚类算法对PSC进行分类。对于每个组或群集,中心值或麦细管描述了云的光学特性。对于该初步研究,使用麦细散射比为1.13,11.90,47.68,71.07和532nm的麦细散射比测定五个这样的基团。五组的平均质量指数为0.82,表明群集彼此充分不同。

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