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

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 f...

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Main Authors: C. Wiedinmyer, S. K. Akagi, R. J. Yokelson, L. K. Emmons, J. A. Al-Saadi, J. J. Orlando, A. J. Soja
Format: Article
Language:English
Published: Copernicus Publications 2011-07-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/4/625/2011/gmd-4-625-2011.pdf
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author C. Wiedinmyer
S. K. Akagi
R. J. Yokelson
L. K. Emmons
J. A. Al-Saadi
J. J. Orlando
A. J. Soja
author_facet C. Wiedinmyer
S. K. Akagi
R. J. Yokelson
L. K. Emmons
J. A. Al-Saadi
J. J. Orlando
A. J. Soja
author_sort C. Wiedinmyer
collection DOAJ
description 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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spelling doaj.art-88774d3e1e7748328c7e152bdc06af3f2022-12-22T00:30:47ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032011-07-014362564110.5194/gmd-4-625-2011The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burningC. WiedinmyerS. K. AkagiR. J. YokelsonL. K. EmmonsJ. A. Al-SaadiJ. J. OrlandoA. J. SojaThe 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.http://www.geosci-model-dev.net/4/625/2011/gmd-4-625-2011.pdf
spellingShingle C. Wiedinmyer
S. K. Akagi
R. J. Yokelson
L. K. Emmons
J. A. Al-Saadi
J. J. Orlando
A. J. Soja
The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
Geoscientific Model Development
title The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
title_full The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
title_fullStr The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
title_full_unstemmed The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
title_short The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning
title_sort fire inventory from ncar finn a high resolution global model to estimate the emissions from open burning
url http://www.geosci-model-dev.net/4/625/2011/gmd-4-625-2011.pdf
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