First top-down diurnal adjustment to NO_x emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO₂ columns.

ABSTRACT: Pioneering the use of the Geostationary Environment Monitoring Spectrometer's (GEMS) observation data in air quality modeling, we adjusted Asia's NO_x emissions inventory by leveraging the instrument's unprecedented sampling frequency. GEMS tropospheric NO₂ columns served as top-down constraints, guiding our Bayesian inversion to constrain NO_x emissions in Asia during spring 2022. This enabled the model to better capture the diurnal variation in NO_x emissions, such as its morning rush hour peak, particularly when more retrievals were available each day, improving the simulation accuracy to a certain extent. The GEMS-informed adjustment reduced the extent of model underestimation of surface NO₂ concentrations from 17.38 to 5.58% in Korea

SUBMITTER: Park J 

PROVIDER: S-EPMC11487178 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature