Dynamic modeling and analysis of aerosol scale height based on multiple meteorological factors

Satellite-based remote sensing inversion of surface visibility—by exploiting the relationship among aerosol optical depth (AOD), aerosol extinction coefficient (AEC), and ground-level visibility—can effectively overcome the limitations of traditional inversion methods. Aerosol scale height (ASH), derived from fitted AEC profiles, serves as a key linking parameter between visibility and aerosol optical properties. In this study, ASH values were retrieved at monitoring stations using profile-specific inversion models, and their correlations with meteorological factors such as air temperature and water-vapor pressure were examined through integrated multi-source data analysis. Building on these operations, we construct a multi-meteorological-parameter dynamic model of ASH and analyze its spatial distribution across fifteen ground-based stations. The resulting model achieves goodness-of-fit values above 0.64, controls inversion errors within 10% of reference calculations, and accurately reproduces known ASH distribution patterns. These advances promise to improve the accuracy of satellite-based surface visibility retrievals.