GMD Geoscientific Model Development GMD Geosci. Model Dev. 1991-9603 Copernicus Publications Göttingen, Germany 10.5194/gmd-4-625-2011 The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning Wiedinmyer C. 1 Akagi S. K. 2 Yokelson R. J. 2 Emmons L. K. 1 Al-Saadi J. A. 3 Orlando J. J. 1 Soja A. J. 4 National Center for Atmospheric Research, Boulder, CO, USA University of Montana, Department of Chemistry, Missoula, MT, USA NASA Headquarters, Washington DC, USA National Institute of Aerospace, NASA Langley Research Center, Hampton, VA, USA 20 07 2011 4 3 625 641 Copyright: © 2011 C. Wiedinmyer et al. 2011 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://gmd.copernicus.org/articles/4/625/2011/gmd-4-625-2011.html The full text article is available as a PDF file from https://gmd.copernicus.org/articles/4/625/2011/gmd-4-625-2011.pdf

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 prescribed 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 profiles, necessary to allocate the total NMOC emission estimates to lumped species for use by chemical transport models, are provided for three widely used chemical mechanisms: 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 estimates. The uncertainty in the FINNv1 emission estimates are about a factor of two; but, the global estimates agree reasonably well with other global inventories of biomass burning emissions for CO, CO<sub>2</sub>, and other species with less variable emission factors. FINNv1 emission estimates have been developed 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.

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