Affiliation:
1. Shanghai Academy of Spaceflight Technology
Abstract
This study introduces a spaceborne LiDAR model designed for polar mesospheric clouds (PMCs) detection for the first time, to the best of our knowledge. A three-dimensional PMCs field is reconstructed as the detection target of the proposed model. The detector signal is simulated by integrating optical properties, atmospheric radiative transfer calculations, and parameters from both Cloud-Aerosol LiDAR with Orthogonal Polarization (CALIOP) and atmospheric LiDAR (ATLID). A comparative analysis revealed a positive correlation between the detection efficiency and ice water content. CALIOP demonstrated a higher detection efficiency compared to ATLID. Moreover, both CALIOP and ATLID can detect the vertical structure of PMCs.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Industry University Research Cooperation Fund of the Eighth Research Institute of China Aerospace Science and Technology Corporation