Model-simulated factors of importance can fill the gaps in surface observation-based estimates of fine-particulate-matter concentrations, providing a data basis for the long-term analysis of meteorological parameters [e.g., planetary boundary layer height (PBLH) and relative humidity (RH)] at the national scale.