CAMx-UNIPAR air quality simulation

CAMx-UNIPAR air quality simulation

UNIPAR has been coupled with the Comprehensive Air Quality Model with Extensions (CAMx) air quality model, which largely improved the prediction of SOA mass in three different regions: East Asia (KORUS-AQ in 2016); Central Valley, California (the National Chemical Speciation Monitoring Network in 2018 provided by the Bay Area Air Quality Management District [BAAQMD]), and the Southern U.S. (2022 Air Data from the U.S. EPA). The implement of heterogeneous chemistry in aqueous phase in CAMx=UNIAPR significantly improve the analysis of impacts of humidity and NOx levels on SOA formation.