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首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar
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Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar

机译:由AeroNet Sun-Sky辐射计数据检索的去极化比率和与LIDAR测量的去极化比进行比较

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摘要

The linear particle depolarization ratios at 440, 675, 870, and 1020?nm were derived using data taken with the AERONET sun–sky radiometer at Seoul (37.45°?N, 126.95°?E), Kongju (36.47°?N, 127.14°?E), Gosan (33.29°?N, 126.16°?E), and Osaka (34.65°?N, 135.59°?E). The results are compared to the linear particle depolarization ratio measured by lidar at 532 nm. The correlation coefficient?R2 between the linear particle depolarization ratio derived by AERONET data at 1020?nm and the linear particle depolarization ratio measured with lidar at 532?nm is?0.90, 0.92, 0.79, and 0.89?at Seoul, Kongju, Gosan, and Osaka, respectively. The correlation coefficients between the lidar-measured depolarization ratio at 532?nm and that retrieved by AERONET at 870?nm are?0.89, 0.92, 0.76, and 0.88?at Seoul, Kongju, Gosan, and Osaka, respectively. The correlation coefficients for the data taken at 675?nm are lower than the correlation coefficients at 870?and 1020?nm, respectively. Values are?0.81, 0.90, 0.64, and 0.81?at Seoul, Kongju, Gosan, and Osaka, respectively. The lowest correlation values are found for the AERONET-derived linear particle depolarization ratio at 440 nm, i.e.,?0.38, 0.62, 0.26, and 0.28?at Seoul, Kongju, Gosan, and Osaka, respectively. We should expect a higher correlation between lidar-measured linear particle depolarization ratios at 532?nm and the ones derived from AERONET at 675?and 440?nm as the lidar wavelength is between the two AERONET wavelengths. We cannot currently explain why we find better correlation between lidar and AERONET linear particle depolarization ratios for the case that the AERONET wavelengths (675, 870, and 1020?nm) are significantly larger than the lidar measurement wavelength (532?nm). The linear particle depolarization ratio can be used as a parameter to obtain insight into the variation of optical and microphysical properties of dust when it is mixed with anthropogenic pollution particles. The single-scattering albedo increases with increasing measurement wavelength for low linear particle depolarization ratios, which indicates a high share of fine-mode anthropogenic pollution. In contrast, single-scattering albedo increases with increasing wavelength for high linear particle depolarization ratios, which indicated a high share of coarse-mode mineral dust particles. The retrieved volume particle size distributions are dominated by the fine-mode fraction if linear particle depolarization ratios are less than 0.15?at 532?nm. The fine-mode fraction of the size distributions decreases and the coarse-mode fraction of the size distribution increases for increasing linear particle depolarization ratio at 1020?nm. The dust ratio based on using the linear particle depolarization ratio derived from AERONET data is?0.12 to?0.17. These values are lower than the coarse-mode fraction derived from the volume concentrations of particle size distributions, in which case we can compute the coarse-mode fraction of dust.
机译:使用与首尔的AeroNet Sun-Sky辐射计采集的数据(37.45°,126.95°Δe),孔州(36.47°?N,127.14 °Δe),姜黄(33.29°Δn,126.16°ot)和大阪(34.65°oth,135.59°e)。将结果与532nm以532nm的LIDAR测量的线性颗粒去极化比进行比较。在1020〜nm处的航空颗粒去极化比之间的相关系数Δr2在532Ω·nm处测量的机AeroNet数据和线性颗粒去极化比率为0.90,0.92,0.79和0.89?在首尔,孔州,戈萨兰,和大阪分别。激光雷达测量的去极化率之间的532?nm和相关系数即在870?处通过AERONET检索是0.89,0.92,0.76,和0.88?在首尔,孔距,Gosan,和大阪,分别。在675Ω·nm处的数据的相关系数分别低于870的相关系数,分别为1020?nm。值为0.81,0.90,0.64和0.81分别在首尔,孔州,戈斯兰和大阪。最低的相关值发现在440nm的AERONET衍生直线粒子去极化比率,即,?0.38,0.62,0.26,和0.28?在首尔,孔距,Gosan,和大阪,分别。我们期望LIDAR测量的线性颗粒去极化比在532℃下的较高相关性,并且在675时衍生自AERONET的线性α和440·nm,因为LIDAR波长在两个机动仪波长之间。我们目前不能解释为什么我们在机Aquet波长(675,870和1020≤nm)明显大于激光雷达测量波长(532Ω·nm)之间找到LIDAR和AERONET线性颗粒去极化比之间的更好相关性。线性颗粒去极化比可以用作参数,以便在与人为污染颗粒混合时,获得灰尘的光学和微手术性质的变化的洞察。单散射反玻璃随着低线性颗粒去极化比的测量波长的增加而增加,这表明了细型人为污染的高度份额。相反,单散射反玻璃随着高线性颗粒去极化比的增加而增加,这表明了粗型矿物粉尘颗粒的高份额。如果线性颗粒去极化比率小于0.15,则检索的体积粒度分布在细型分数下以532℃下降。尺寸分布的微量模式分数降低,并且尺寸分布的粗模式分数增加,用于在1020℃下增加线性颗粒去极化比。基于使用从AeroNet数据的线性颗粒去极化比的除尘比是0.12至0.17。这些值低于粒径分布的体积浓度衍生的粗模式馏分,在这种情况下,我们可以计算灰尘的粗模式分数。

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