Focusing on Southeast Asia, we evaluate the model performance by comparing its outputs against ground-based, airborne, and satellite observations. Our research provides initial findings on the contributions of anthropogenic and biomass burning emissions across multiple Southeast Asian countries, using the Integrated Source Apportionment Method (ISAM) within the CMAQ model. Additionally, we investigate the role of incorporating a plume rise process on the potential long-range transport of smoke, with validation against vertical aerosol extinction from lidar networks and aerosol height products from the Geostationary Environment Monitoring Spectrometer (GEMS). We also employ machine learning techniques for downscaling to deliver high resolution information and assess the associated health impacts. This research offers critical insights into the impact of biomass burning on regional air quality and supports the development of strategies to improve air quality across Southeast Asia.
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