This dataset includes daily modeled wildland fire PM_2.5 concentrations for 2008-2018 for the state of California at a 12-km grid spatial resolution, estimated using the U.S. EPA’s Community Multiscale Air Quality (CMAQ) (v. 5.0.1- 5.3) modeling system. These wildland fire emissions estimates (which include wildfires and prescribed burns [but exclude agricultural burns]) incorporate multiple sources of fire activity. SMARTFIRE2 was used to reconcile the sources of fire activity data. Fuel consumption was calculated using the U.S. Forest Service’s CONSUME ver. 3.0 fuel consumption model and the Fuel Characteristic Classification System (FCCS) fuel-loading database in the BlueSky Framework. Emission factors were taken from the Fire Emission Production Simulator (FEPS) model. Non-fire emissions sources are from the National Emissions Inventory (NEI). The model was run with all emissions (fire and non-fire sources) and again without fires. The calculated difference between these simulations (‘all sources PM_2.5’ and ‘non-fire PM_2.5’) isolates the fire contribution, or ‘fire-only PM_2.5’, which is the dataset provided here. 

The data have been processed from .ncf files into .tif files. Data were developed by Joseph Wilkins, Howard University.