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Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects

机译:各种激光雷达测量和数据处理技术在评估卷云和气溶胶直接辐射效应中的影响

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In the past 2?decades, ground-based lidar networks have drastically increased in scope and relevance, thanks primarily to the advent of lidar observations from space and their need for validation. Lidar observations of aerosol and cloud geometrical, optical and microphysical atmospheric properties are subsequently used to evaluate their direct radiative effects on climate. However, the retrievals are strongly dependent on the lidar instrument measurement technique and subsequent data processing methodologies. In this paper, we evaluate the discrepancies between the use of Raman and elastic lidar measurement techniques and corresponding data processing methods for two aerosol layers in the free troposphere and for two cirrus clouds with different optical depths. Results show that the different lidar techniques are responsible for discrepancies in the model-derived direct radiative effects for biomass burning (0.05?W?msup?2/sup at surface and 0.007?W?msup?2/sup at top of the atmosphere) and dust aerosol layers (0.7?W?msup?2/sup at surface and 0.85?W?msup?2/sup at top of the atmosphere). Data processing is further responsible for discrepancies in both thin (0.55?W?msup?2/sup at surface and 2.7?W?msup?2/sup at top of the atmosphere) and opaque (7.7?W?msup?2/sup at surface and 11.8?W?msup?2/sup at top of the atmosphere) cirrus clouds. Direct radiative effect discrepancies can be attributed to the larger variability of the lidar ratio for aerosols (20–150?sr) than for clouds (20–35?sr). For this reason, the influence of the applied lidar technique plays a more fundamental role in aerosol monitoring because the lidar ratio must be retrieved with relatively high accuracy. In contrast, for cirrus clouds, with the lidar ratio being much less variable, the data processing is critical because smoothing it modifies the aerosol and cloud vertically resolved extinction profile that is used as input to compute direct radiative effect calculations.
机译:在过去的两个十年中,地面激光雷达网络的范围和相关性急剧增加,这主要归功于来自太空的激光雷达观测的出现及其验证的必要性。随后使用激光雷达对气溶胶和云的几何,光学和微物理大气特性进行观测,以评估其对气候的直接辐射影响。但是,检索很大程度上取决于激光雷达仪器的测量技术和后续的数据处理方法。在本文中,我们评估了在自由对流层中的两个气溶胶层和具有不同光学深度的两个卷云使用拉曼和弹性激光雷达测量技术以及相应的数据处理方法之间的差异。结果表明,不同的激光雷达技术造成了模型衍生的生物质燃烧的直接辐射效应的差异(表面为0.05?W?m ?2 ,0.007?W?m ?2大气层顶部的)和粉尘气溶胶层(表面的0.7?W?m ?2 和顶部的0.85?W?m ?2 大气层)。数据处理还会造成薄的差异(表面的0.55?W?m ?2 和大气层顶部的2.7?W?m ?2 )和不透明的差异卷云(在地表为7.7?W?m ?2 ,在大气层顶部为11.8?W?m ?2 )。直接辐射效应的差异可归因于与云(20–35?sr)相比,气溶胶(20–150?sr)的激光雷达比变化更大。由于这个原因,由于必须以相对较高的精度获取激光雷达比,因此应用激光雷达技术的影响在气溶胶监测中起着更基本的作用。相反,对于卷云,由于激光雷达的可变性要小得多,因此数据处理至关重要,因为对它进行平滑处理会修改气溶胶和云的垂直分辨消光曲线,而消光曲线用作输入来计算直接辐射效应计算。

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