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The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power

Open access
Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., van der Werf, G. R.·2012·Biogeosciences

Published version of a preprint

Abstract

Abstract. The Global Fire Assimilation System (GFASv1.0) calculates biomass burning emissions by assimilating Fire Radiative Power (FRP) observations from the MODIS instruments onboard the Terra and Aqua satellites. It corrects for gaps in the observations, which are mostly due to cloud cover, and filters spurious FRP observations of volcanoes, gas flares and other industrial activity. The combustion rate is subsequently calculated with land cover-specific conversion factors. Emission factors for 40 gas-phase and aerosol trace species have been compiled from a literature survey. The corresponding daily emissions have been calculated on a global 0.5° × 0.5° grid from 2003 to the present. General consistency with the Global Fire Emission Database version 3.1 (GFED3.1) within its accuracy is achieved while maintaining the advantages of an FRP-based approach: GFASv1.0 makes use of the quantitative information on the combustion rate that is contained in the FRP observations, and it detects fires in real time at high spatial and temporal resolution. GFASv1.0 indicates omission errors in GFED3.1 due to undetected small fires. It also exhibits slightly longer fire seasons in South America and North Africa and a slightly shorter fire season in Southeast Asia. GFASv1.0 has already been used for atmospheric reactive gas simulations in an independent study, which found good agreement with atmospheric observations. We have performed simulations of the atmospheric aerosol distribution with and without the assimilation of MODIS aerosol optical depth (AOD). They indicate that the emissions of particulate matter need to be boosted by a factor of 2–4 to reproduce the global distribution of organic matter and black carbon. This discrepancy is also evident in the comparison of previously published top-down and bottom-up estimates. For the time being, a global enhancement of the particulate matter emissions by 3.4 is recommended. Validation with independent AOD and PM10 observations recorded during the Russian fires in summer 2010 show that the global Monitoring Atmospheric Composition and Change (MACC) aerosol model with GFASv1.0 aerosol emissions captures the smoke plume evolution well when organic matter and black carbon are enhanced by the recommended factor. In conjunction with the assimilation of MODIS AOD, the use of GFASv1.0 with enhanced emission factors quantitatively improves the forecast of the aerosol load near the surface sufficiently to allow air quality warnings with a lead time of up to four days.

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Research works printed but not linked: 3

  1. Colarco, P.: The NASA {GEOS}-5 Aerosol Forecasting System, in: MACC Conference, Driebergen, The Netherlands, 2011.
  2. Kaiser, J. W., Schultz, M. G., Gregoire, J. M., Textor, C., Sofiev, M., Bartholome, E., Leroy, M., Engelen, R. J., and Hollingsworth, A.: Observation Requirements for Global Biomass Burning Emission Monitoring, in: Proc. 2006 EUMETSAT Met. Sat. Conf., 2006.
  3. Wüst, R.: Mathematik für Physiker und Mathematiker, vol. 1: Reelle Analysis und Lineare Algebra, WILEY-VCH GmbH & Co. KGaA, 3. edn., 2009.

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Metadata

Authors
Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., & van der Werf, G. R.
Venue
Biogeosciences
Published
2012-01-27
Volume
9
Issue
1
Pages
527-554
ISSN
  • 1726-4170 (ISSN-L)
  • 1726-4189
OpenAlex
W2155039075
Cited by
1,518
References
43
FWCI
47.19
Type
journal article
Language
en
Open access
gold
Funders
European Commission (218793)

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CoChat. (2026). Citation check: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. https://app.cochat.ai/papers/10.5194/bg-9-527-2012
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Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., & van der Werf, G. R. (2012). Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences. https://doi.org/10.5194/bg-9-527-2012

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