气溶胶物理特性和边界层高度的扫描气溶胶激光雷达与现场测量结果的比较

Hengheng Zhang, Christian Rolf, Ralf Tillmann, Christian Wesolek, F. Wienhold, Thomas Leisner, H. Saathoff
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引用次数: 0

摘要

摘要大气中气溶胶粒子的时空分布对辐射传递、云和空气质量有很大影响。现代遥感方法以及由无人驾驶飞行器(UAV)或气球进行的机载原位测量,是提高我们对气溶胶粒子在大气中的作用的认识的合适工具。为了验证三个相对较新的测量系统的测量能力,弥合遥感和原位观测之间经常遇到的差距,以及研究边界层内和边界层上方的气溶胶粒子,我们进行了两次测量活动,并利用扫描气溶胶激光雷达、带有紧凑型光学后向散射气溶胶探测器(COBALD)的气球载无线电探空仪、无人飞行器上的光学粒子计数器(OPC)和一套综合地面仪器收集了全面的数据集。根据现场测量的近地面气溶胶粒度分布计算出的消光系数与激光雷达测量得出的消光系数有很好的相关性,斜率分别为 1.037 ± 0.015 和皮尔逊相关系数 0.878。无人机上的 OPC-N3 测量的垂直剖面显示出与激光雷达测量类似的垂直粒子分布和边界层高度。然而,传感器 OPC-N3 在气溶胶后向散射系数测量中显示出更大的变异性,其皮尔逊相关系数仅为 0.241。相比之下,气球飞行的 COBALD 数据与激光雷达得出的从近地面层到平流层的后向散射数据具有良好的相关性,斜率分别为 1.063 ± 0.016 和皮尔逊相关系数 0.925。激光雷达和 COBALD 数据之间的这种一致性反映了两种方法良好的数据质量,证明激光雷达可以提供可靠的高时空分辨率气溶胶粒子空间分布。这项研究表明,扫描激光雷达在进行水平测量时,有能力检索近地面(距地面 25 至 50 米)的后向散射系数,而垂直指向的激光雷达则无法做到这一点。这些近地面水平的检索结果与地面水平的实地测量结果比较接近。此外,气球和无人飞行器上的实地测量验证了扫描激光雷达在边界层内和边界层上方的检索结果。扫描气溶胶激光雷达使我们能够测量从地面到平流层的气溶胶粒子分布和轮廓,其精度等于或优于现场测量,空间分辨率也类似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of scanning aerosol lidar and in situ measurements of aerosol physical properties and boundary layer heights
Abstract. The spatiotemporal distribution of aerosol particles in the atmosphere has a great impact on radiative transfer, clouds, and air quality. Modern remote sensing methods, as well as airborne in situ measurements by unpiloted aerial vehicles (UAV) or balloons, are suitable tools to improve our understanding of the role of aerosol particles in the atmosphere. To validate the measurement capabilities of three relatively new measurement systems and to bridge the gaps that are often encountered between remote sensing and in situ observation, as well as to investigate aerosol particles in and above the boundary layer, we conducted two measurement campaigns and collected a comprehensive dataset employing a scanning aerosol lidar, a balloon-borne radiosonde with the Compact Optical Backscatter Aerosol Detector (COBALD), an optical particle counter (OPC) on a UAV, and a comprehensive set of ground-based instruments. The extinction coefficients calculated from near-ground-level aerosol size distributions measured in situ are well correlated with those retrieved from lidar measurements, with a slope of 1.037 ± 0.015 and a Pearson correlation coefficient of 0.878, respectively. Vertical profiles measured by an OPC-N3 on a UAV show similar vertical particle distributions and boundary layer heights to lidar measurements. However, the sensor, OPC-N3, shows a larger variability in the aerosol backscatter coefficient measurements, with a Pearson correlation coefficient of only 0.241. In contrast, the COBALD data from a balloon flight are well correlated with lidar-derived backscatter data from the near-ground level up to the stratosphere, with a slope of 1.063 ± 0.016 and a Pearson correlation coefficient of 0.925, respectively. This consistency between lidar and COBALD data reflects the good data quality of both methods and proves that lidar can provide reliable and spatial distributions of aerosol particles with high spatial and temporal resolutions. This study shows that the scanning lidar has the capability to retrieve backscatter coefficients near the ground level (from 25 to 50 m above ground level) when it conducts horizontal measurement, which is not possible for vertically pointing lidar. These near-ground-level retrievals compare well with ground-level in situ measurements. In addition, in situ measurements on the balloon and UAV validated the scanning lidar retrievals within and above the boundary layer. The scanning aerosol lidar allows us to measure aerosol particle distributions and profiles from the ground level to the stratosphere with an accuracy equal to or better than in situ measurements and with a similar spatial resolution.
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