dot
Detailansicht
Katalogkarte GBA
Katalogkarte ISBD
Suche präzisieren
Drucken
Download RIS
Hier klicken, um den Treffer aus der Auswahl zu entfernen
Titel Model sensitivity to global fire emissions: GFED versus GFAS
VerfasserIn O. Stein, J. W. Kaiser, A. Heil, M. G. Schultz
Konferenz EGU General Assembly 2012
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 14 (2012)
Datensatznummer 250065109
 
Zusammenfassung
The Global Fire Assimilation System (GFAS, Kaiser et al. 2012) was developed during the MACC project and is now used as a fire emission inventory in MACC and MACC-II reanalysis and forecast simulations. GFAS emissions are derived from fire radiative power observations from the MODIS instrument onboard the Terra and Aqua satellites. It has the advantage of detecting fires with high spatial and temporal resolution in real time which allows the emissions to be integrated into the routine air quality forecasts, e.g. at ECMWF. We present global model simulations for the year 2008 with the MOZART Chemistry Transport Model to show how the model is able to reproduce realistic atmospheric concentrations of reactive gases like CO, NOx, and VOCs when using three different fire emission inventories: 1) The Global Fire Emission Database (GFEDv3, van der Werf et al. 2010), 2) The Global Fire Assimilation System (GFASv1, Kaiser et al. 2012), 3) A modification of GFAS using emission factors from Akagi et al. (2011) instead of the GFAS updates to Andreae and Merlet (2001). The performance of the inventories in reproducing surface and column-integrated atmospheric observations for several reactive gases will be evaluated. References Akagi, S. K. et al.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039-4072, doi:10.5194/acp-11-4039-2011, 2011. Andreae, M. O. and P. Merlet. 2001. Emission of trace gases and aerosols from biomass burning. Global Biogeochemical Cycles, 15: 955-966, 2000GB001382. Kaiser, J.W. et al.: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, accepted, 2012. van der Werf, G. et al.: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10, 11707-11735, doi:10.5194/acp-10-11707-2010, 2010.