Wildland fire PM2.5 modeled estimates for the US from 2008-2018

This dataset includes daily modeled wildland fire PM2.5 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 PM2.5’ and ‘non-fire PM2.5’) isolates the fire contribution, or
‘fire-only PM2.5’, which is the dataset provided here.