Seasonal Variations and Correlations of Optical and Physical Properties of Upper Cloud-Aerosol Layers in Russia Based on Lidar Remote Sensing
2025
Miao Zhang | Zijun Su | Zixin Luo | Yating Zhang | Zhibiao Liu | Tianhang Chen | Yachen Liu | Ge Han
Cloud-aerosol interactions represent a critical uncertainty in climate systems. Using 2006&ndash:2021 CALIPSO products, we investigated upper tropospheric clouds and aerosol layers across four Russian regions: Western Plains, West Siberian Plain, Central Siberian Plateau, and Eastern Mountains. Top Cloud Optical Depth (TCOD), Top Depolarization Ratio of clouds (TDRc), and Layer Level (LLc) exhibit pronounced seasonal and diurnal variations, peaking during summer and nighttime when convection intensifies. Upper aerosol layers show low Total Aerosol Optical Depth (TAOD) and Color Ratio (CRa), often displaying multi-layered structures influenced by spring&ndash:summer dust transport and biomass burning. We constructed a correlation matrix of 49 parameter pairs (7 cloud ×: 7 aerosol parameters), revealing moderate positive correlations between cloud and aerosol layer heights under coexistence conditions. TDRc showed weak linear but strong nonlinear relationships with aerosol parameters, indicating complex coupling mechanisms beyond simple linear models. Nighttime observations demonstrated superior signal-to-noise ratios and correlation coefficients compared to daytime measurements. These findings enhance understanding of cloud-aerosol coupling at middle-high latitudes, providing parameterization constraints for improving global climate model representations of these processes.
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