WRF-Chem model outputs of surface PM2.5 concentrations in India during November 2017

Northern India experienced an extreme air pollution episode in November 2017. We used WRF-Chem model to simulate this episode. In order to capture PM2.5 (fine particulate matter with aerodynamic diameter less than 2.5 µm) peaks, we modified input chemical boundary conditions and biomass burning emissions using a set of experiments. This dataset includes the simulation results for the base scenario surface PM2.5 concentrations, which showed the best statistics when evaluated against different observation and satellite retrievals data. In base scenario, we incorporated CAM-Chem and MERRA-2 global models as gaseous and aerosol chemical boundary conditions, respectively. We also incorporated VIIRS active fire points to fill missing fire emissions in FINN and scaled by a factor of seven for an 8-days period.