Estimation of surface-level NO and O concentrations using TROPOMI data and machine learning over East Asia.

In East Asia, air quality has been recognized as an important public health problem. In particular, the surface concentrations of air pollutants are closely related to human life. This study aims to develop models for estimating high spatial resolution surface concentrations of NO and O from TROPOspheric Monitoring Instrument (TROPOMI) data in East Asia.