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 ..., The data have been processed from .ncf files into .tif files. Data were developed by Joseph Wilkins, Howard University. , , # Wildland fire PM2.5 modeled estimates for the US from 2008-2018

[https://doi.org/10.5061/dryad.sxksn03b3](https://doi.org/10.5061/dryad.sxksn03b3)

## Description of the data and file structure

These are raster .tif files with daily wildland fire PM2.5 concentrations across the United States CMAQ grid. There is one file included for each year. The grid changes from the 12US1 domain to the 12US2 domain starting in the year 2013.Â