The Fire INventory from NCAR (FINN): A high resolution global model to estimate the emissions from open burning

  • Wiedinmyer C
  • Akagi S
  • Yokelson R
 et al. 
  • 231


    Mendeley users who have this article in their library.
  • 387


    Citations of this article.


The Fire INventory from NCAR version 1.0 (FINNv1) provides daily, 1 km resolution, global estimates of the trace gas and particle emissions from open burning of biomass, which includes wildfire, agricultural fires, and pre- scribed burning and does not include biofuel use and trash burning. Emission factors used in the calculations have been updated with recent data, particularly for the non-methane organic compounds (NMOC). The resulting global annual NMOC emission estimates are as much as a factor of 5 greater than some prior estimates. Chemical speciation pro- files, necessary to allocate the total NMOC emission esti- mates to lumped species for use by chemical transport mod- els, are provided for three widely used chemical mecha- nisms: SAPRC99, GEOS-CHEM, and MOZART-4. Using these profiles, FINNv1 also provides global estimates of key organic compounds, including formaldehyde and methanol. Uncertainties in the emissions estimates arise from several of the method steps. The use of fire hot spots, assumed area burned, land cover maps, biomass consumption estimates, and emission factors all introduce error into the model esti- mates. The uncertainty in the FINNv1 emission estimates are about a factor of two; but, the global estimates agree reason- ably well with other global inventories of biomass burning emissions for CO, CO2, and other species with less variable emission factors. FINNv1 emission estimates have been de- veloped specifically for modeling atmospheric chemistry and air quality in a consistent framework at scales from local to global. The product is unique because of the high temporal and spatial resolution, global coverage, and the number of species estimated. FINNv1 can be used for both hindcast and forecast or near-real time model applications and the results are being critically evaluated with models and observations whenever possible.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Robert YokelsonUniversity of Montana

  • C. Wiedinmyer

  • S. K. Akagi

  • L. K. Emmons

  • J. A. Al-Saadi

  • J. J. Orlando

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free