Title: Emissions of Gases and Particles from Biomass Burning During the 20th Century Using Satellite Data and an Historical Reconstruction
Authors: MIEVILLE AudeGRANIER ClaireLIOUSSE CatherineGUILLAUME BrunoMOUILLOT D.LAMARQUE J. F.GREGOIRE Jean-MariePETRON G.
Citation: ATMOSPHERIC ENVIRONMENT vol. 44 no. 11 p. 1469-1477
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publication Year: 2010
JRC N°: JRC51659
ISSN: 1352-2310
URI: www.elsevier.com/locate/atmosenv
http://publications.jrc.ec.europa.eu/repository/handle/JRC51659
DOI: 10.1016/j.atmosenv.2010.01.011
Type: Articles in Journals
Abstract: An inventory of emissions of trace gases and particles resulting from biomass burning has been developed for the 1900-2005 period. The inventory is developed in two steps: first, fire emissions are estimated for the 1997-2005 period using several satellite products: GBA2000 burnt areas, ATSR active fires, and a vegetation distribution map. Emissions are first estimated for the year 2000, using the GBA2000 product, and for different vegetation categories. The temporal and spatial distribution of the CO2 emissions for the 1997-2005 period is then derived through a scaling of the number of active fires. The scaling is performed for each vegetation class and for three latitude bands. Emissions ratios are used to derive the emissions of all other chemical species. The historical inventory, which covers the 1900-2000 period with a decadal time resolution and a spatial resolution of 1x1°, is then derived from an historical reconstruction of burned areas. A scaling factor is applied to burned areas in forest and savanna ecosystems, in order to ensure consistency between historical and recent emissions. Monthly emissions are derived using the average seasonal variation of the recent inventory. The methodology used for calculating the fire emissions is discussed, together with the time evolution of biomass burning emissions during the 20th century, first at the global scale and then for specific regions. The results are compared with the distributions provided by other inventories and results of inverse modeling studies.
JRC Institute:Institute for Environment and Sustainability

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