Simulation and recovery for space eros
This study is led by Dr. Wei Gong and Dr. Feiyue Mao from Wuhan University. The authors performed a simulation and recovery for China Aerosol and Cloud High Spectral Resolution Spatial Lidar (ACHSRL) to study its potential in a preliminary way. The ACHSRL is currently under development and is expected to be launched in the near future.
Clouds and aerosols can significantly affect global climate change and the atmospheric environment, and observing them in three dimensions with high spatial and temporal resolutions is a long-standing problem. Space lidars are effective instruments for the vertical detection of clouds and aerosols on a global scale. Many Mie scattering lidars have been successfully launched and widely used, such as the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and the Geoscience Laser Altimeter System. However, recovering Mie scattering lidar data is an ill-posed problem that introduces large uncertainty. China’s ACHSRL has attracted much attention because it can separate Mie and Rayleigh scatter signals and avoid ill-posed recovery.
The authors performed simulation and recovery for ACHSRL. First, this study revealed that the uncertainty of the aerosol depolarization ratio is one of the main sources of error in the traditional backscatter coefficient recovery method, and the influence of Poisson noise can cause an overestimation of the backscatter coefficient, and potential correction schemes are proposed. Second, this study investigated the possibility of improving the accuracy of extinction coefficient retrieval by first retrieving the integrated lidar ratio of the layer, and then retrieving the extinction coefficient profile, and the influence of the uncertainty of the transmission of the iodine filter on the recovery. Finally, the simulation and recovery of ACHSRL are performed based on the atmospheric parameters measured by CALIOP, and the application potential of ACHSRL on real atmospheric conditions is discussed. This research is useful for the development and application of satellite lidars in the future.
See the article:
Mao F, Luo X, Song J, Liang Z, Gong W, Chen W. 2022. Simulation and recovery for high spectral resolution space-based lidar of aerosol clouds and China. Science China Earth Sciences, 65(3): 570–583, https://doi.org/10.1007/s11430-021-9842-x
Science China Earth Sciences
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