Predicting fine-scale daily NO₂ over Mexico City using an ensemble modeling approach.

ABSTRACT: In recent years, there has been growing interest in developing air pollution prediction models to reduce exposure measurement error in epidemiologic studies. However, efforts for localized, fine-scale prediction models have been predominantly focused in the United States and Europe. Furthermore, the availability of new satellite instruments such as the TROPOsopheric Monitoring Instrument (TROPOMI) provides novel opportunities for modeling efforts. We estimated daily ground-level nitrogen dioxide (NO₂) concentrations in the Mexico City Metropolitan Area at 1-km² grids from 2005 to 2019 using a four-stage approach. In stage 1 (imputation stage), we imputed missing satellite NO₂ column measurements from the Ozone Monitoring Instrument (OMI) and TROPOMI using t

SUBMITTER: He MZ 

PROVIDER: S-EPMC10168642 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature