Wildland fire PM2.5 modeled estimates for the US from 2008-2018
<p>This dataset includes daily modeled wildland fire PM<sub>2.5 </sub>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<sub>2.5</sub>'<sub> </sub>and 'non-fire PM<sub>2.5</sub>') isolates the fire contribution, or 'fire-only PM<sub>2.5</sub>', which is the dataset provided here. </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 12
- Access
- 12
- Reuse readiness
- 0
- Engagement
- 8