Abstract. The exploration of aerosol retrieval synergies from diverse combinations of ground-based passive sun-photometric measurements with co-located active lidar ground-based and radiosonde observations using versatile GRASP algorithm is presented. Several potentially fruitful aspects of observation synergy were considered. First, a set of passive and active ground-based observations collected during both day and night time were inverted simultaneously under the assumption of temporal continuity of aerosol properties. Such approach explores the complementarity of the information in different observations and results in a robust and consistent processing of all observations. For example, the interpretation of the night-time active observations usually suffers from the lack of information about aerosol particles sizes, shapes and complex refractive index. In the realized synergy retrievals, the information propagating from the close-by sun-photometric observations provides sufficient constraints for reliable interpretation of both day- and night- time lidar observations. Second, the synergetic processing of such complementary observations with enhanced information content allows for optimizing the aerosol model used in the retrieval. Specifically, the external mixture of several aerosol components with predetermined sizes, shapes and composition has been identified as an efficient approach for achieving reliable retrieval of aerosol properties in several situations. This approach allows for achieving consistent and accurate aerosol retrievals from processing stand-alone advanced lidar observations with reduced information content about aerosol columnar properties. Third, the potential of synergy processing of the ground-based sun–photometric and lidar observations, with the in situ backscatter sonde measurements was explored using the data from KAUST.15 and KAUST.16 field campaigns held at King Abdullah University of Science and Technology (KAUST) in the August of 2015 and 2016. The inclusion of radiosonde data has been demonstrated to provide significant additional constraints to validate and improve the accuracy and scope of aerosol profiling. The results of all retrieval set-ups used for processing both synergy and stand-alone observation data sets are discussed and inter-compared.

中文翻译：

---

使用GRASP算法协同处理各种地面遥感和现场数据：在辐射计，激光雷达和探空仪观测中的应用

摘要。提出了使用通用GRASP算法从基于地面的被动太阳光度法测量值与位于同一地点的有源激光雷达的地面和探空仪观测值的各种组合中探索气溶胶回收协同作用的方法。考虑了观察协同作用的若干潜在成果。首先，在气溶胶特性随时间变化的假设下，白天和黑夜收集的一组被动和主动地面观测资料被同时反转。这种方法探索了不同观察结果中信息的互补性，并导致对所有观察结果的可靠且一致的处理。例如，夜间主动观测的解释通常因缺乏有关气溶胶颗粒大小，形状和复折射率的信息而受苦。在实现的协同检索中，从近距离太阳光度学观测传播的信息为白天和夜间激光雷达观测的可靠解释提供了足够的约束。其次，具有增强的信息内容的这种互补观测的协同处理可以优化检索中使用的气溶胶模型。具体地，已经确定了具有预定尺寸，形状和组成的几种气雾剂组分的外部混合物，作为在几种情况下实现可靠​​地恢复气雾剂性能的有效方法。这种方法可以从处理独立的高级激光雷达观测数据中获得一致且准确的气溶胶检索，同时减少有关气溶胶柱状特性的信息量。第三，利用阿卜杜拉国王科技大学（KAUST）进行的KAUST.15和KAUST.16实地考察的数据，探索了利用地面太阳光度计和激光雷达观测资料进行协同处理以及利用原位反向散射探空仪测量的潜力。 ）在2015年8月和2016年8月。已证明包含探空仪数据对验证和改善气溶胶分布图的准确性和范围提供了重要的附加约束。讨论并相互比较了用于处理协同和独立观测数据集的所有检索设置的结果。2015年8月和2016年8月在阿卜杜拉国王科技大学（KAUST）举行了16次野战。已经证明了探空探空仪数据的加入为验证和改善气溶胶分布图的准确性和范围提供了重要的额外限制。讨论并相互比较了用于处理协同和独立观测数据集的所有检索设置的结果。2015年8月和2016年8月在阿卜杜拉国王科技大学（KAUST）举行了16次野战。已经证明了探空探空仪数据的加入为验证和改善气溶胶分布图的准确性和范围提供了重要的额外限制。讨论并相互比较了用于处理协同和独立观测数据集的所有检索设置的结果。