Deep Learning Denoised and Simulated Spaceborne Backscatter Lidar Datasets

The dataset contains simulated lidar variables created using NASA’s Cloud Physics Lidar (CPL) from 4 selected flights and the Goddard Space Flight Center (GSFC) Lidar Simulator. These variables are generated simulating the Cloud-Aerosol Transport System (CATS) lidar conditions by assuming an altitude of 415 km and solar zenith angle (SZA) of 30 degrees for noisy day conditions. The dataset also contains denoised photon counts described in Selmer et al. (2024) and attenuated total backscatter (ATB). For detailed inoformation, please see the provided 'Dataset_Information' document.本数据集包含由美国国家航空航天局（National Aeronautics and Space Administration, NASA）云物理激光雷达（Cloud Physics Lidar, CPL）针对4次选定飞行任务，以及戈达德太空飞行中心（Goddard Space Flight Center, GSFC）激光雷达模拟器生成的模拟激光雷达变量。上述变量通过模拟云气溶胶运输系统（Cloud-Aerosol Transport System, CATS）的激光雷达工况生成，假设飞行高度为415千米，并针对有噪日间工况将太阳天顶角（Solar Zenith Angle, SZA）设为30度。本数据集还包含塞尔默等人（Selmer et al.）2024年研究中提及的去噪光子计数，以及衰减全后向散射（attenuated total backscatter, ATB）。如需获取详细信息，请参阅随附的"Dataset_Information"文档。