Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 8.792 IF 8.792
  • IF 5-year value: 8.414 IF 5-year 8.414
  • CiteScore value: 8.18 CiteScore 8.18
  • SNIP value: 2.620 SNIP 2.620
  • SJR value: 4.885 SJR 4.885
  • IPP value: 7.67 IPP 7.67
  • h5-index value: 28 h5-index 28
  • Scimago H index value: 24 Scimago H index 24
Discussion papers
https://doi.org/10.5194/essd-2018-100
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-100
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 31 Aug 2018

Review article | 31 Aug 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

Contiguous United States wildland fire emission estimates during 2003–2015

Shawn P. Urbanski1, Matt C. Reeves2, Rachel Corley1,3, Robin Silverstein1,3,a, and Wei Min Hao1 Shawn P. Urbanski et al.
  • 1US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, Missoula MT 59808, USA
  • 2US Forest Service, Rocky Mountain Research Station, Forestry Sciences Laboratory, Missoula MT 59 801, USA
  • 3College of Forestry and Conservation, University of Montana, Missoula MT, 59812, USA
  • acurrently at: Montana Department of Public Health and Human Services, Helena, MT, 59620

Abstract. Wildfires are a major source of air pollutants in the United States. Wildfire smoke can trigger severe pollution episodes with substantial impacts on public health. In addition to acute episodes, wildfires can have a marginal effect on air quality at significant distances from the source presenting significant challenges to air regulators’ efforts to meet National Ambient Air Quality Standards. Improved emission estimates are needed to quantify the contribution of wildfires to air pollution and thereby inform decision making activities related to the control and regulation of anthropogenic air pollution sources.

To address the need of air regulators and land managers for improved wildfire emission estimates we developed the Missoula Fire Lab Emission Inventory (MFLEI), a retrospective, daily wildfire emission inventory for the contiguous United States (CONUS). MFLEI was produced using multiple datasets of fire activity and burned area, a newly developed wildland fuels map and an updated emission factor database. Daily burned area is based on a combination of Monitoring Trends in Burn Severity (MTBS) data, Moderate Resolution Imaging Spectroradiometer (MODIS) burned area and active fire detection products, incident fire perimeters, and a spatial wildfire occurrence database. The fuel type classification map is a merger of a national forest type map, produced by the USDA Forest Service (USFS) Forest Inventory and Analysis (FIA) program and the Geospatial Technology and Applications Center (GTAC), with a shrub and grassland vegetation map developed by the USFS Missoula Forestry Sciences Laboratory. Forest fuel loading is from a fuel classification developed from a large set (>26000 sites) of FIA surface fuel measurements. Herbaceous fuel loading is estimated using site specific parameters with normalized differenced vegetation index from MODIS. Shrub fuel loading is quantified by applying numerous allometric equations linking stand structure and composition to biomass and fuels, with the structure and composition data derived from geospatial data layers of the LANDFIRE Project. MFLEI provides estimates of CONUS daily wildfire burned area, fuel consumption, and pollutant emissions at a 250m×250m resolution for 2003–2015. A spatially aggregated emission product (10km×10km, 1d) with uncertainty estimates is included to provide a representation of emission uncertainties at a spatial scale pertinent to air quality modelling. MFLEI will be updated, with recent years, as the MTBS burned area product becomes available. The data associated with this article can be found at https://doi.org/10.2737/RDS-2017-0039.

Shawn P. Urbanski et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Topical Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Shawn P. Urbanski et al.
Shawn P. Urbanski et al.
Viewed  
Total article views: 372 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
313 54 5 372 18 6 5
  • HTML: 313
  • PDF: 54
  • XML: 5
  • Total: 372
  • Supplement: 18
  • BibTeX: 6
  • EndNote: 5
Views and downloads (calculated since 31 Aug 2018)
Cumulative views and downloads (calculated since 31 Aug 2018)
Viewed (geographical distribution)  
Total article views: 372 (including HTML, PDF, and XML) Thereof 372 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 18 Nov 2018
Download
Short summary
Wildfires are a major source of air pollutants in the U.S. that trigger pollution episodes and challenge air regulators' efforts to meet air quality standards. Improved wildfire emission estimates are needed to quantify air pollution from fires to guide decision making activities related to the control of anthropogenic sources. To address the need of air regulators for improved wildfire emission estimates we developed an inventory of daily U.S. wildfire pollutant emissions for 2003–2015.
Wildfires are a major source of air pollutants in the U.S. that trigger pollution episodes and...
Citation
Share