Song, Y. F., T. Yang, S. Y. Zhang, P. Tian, Y. L. Sun, H. Su, and Z. F. Wang, 2026: Height-resolved mechanisms of carbonaceous aerosols in Beijing: Two-year remote sensing revealing season-dependent emission-meteorology interactions. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-026-5617-4.
Citation: Song, Y. F., T. Yang, S. Y. Zhang, P. Tian, Y. L. Sun, H. Su, and Z. F. Wang, 2026: Height-resolved mechanisms of carbonaceous aerosols in Beijing: Two-year remote sensing revealing season-dependent emission-meteorology interactions. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-026-5617-4.

Height-Resolved Mechanisms of Carbonaceous Aerosols in Beijing: Two-Year Remote Sensing Revealing Season-Dependent Emission–Meteorology Interactions

  • The vertical distribution of carbonaceous aerosols critically influences their climate and health effects, yet long-term, height-resolved observations are lacking in Asia. Based on two years (2021–22) of hourly vertical profiles retrieved from ground-based LiDAR in Beijing, we investigate the seasonal mechanisms governing the vertical variation of organic matter (OM) and black carbon (BC). We identify a pronounced vertical stratification: below 900 m, pollutants are dominated by easterly transport and suppression under high humidity in autumn/winter; at 900–1400 m, photochemical and aqueous oxidation peak in summer; above 1400 m, biomass burning (autumn/winter) and dust transport (spring) are prevalent. Primary and secondary organic carbon (POC and SOC) are separated at 750 m, contributing 63.4% and 36.6% to OM, respectively, with SOC maximizing at 900–1400 m. Random Forest–based meteorological normalization shows that emissions drive long-term trends, especially aloft. In contrast, meteorology primarily controls short-term variability and peaks; this occurs mainly through oxidation processes for OM and transport for BC. This study provides the first long-term vertical characterization of carbonaceous aerosols in Asia, with important implications for targeted pollution control.
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