1 / 17

Global Fire Emission Modelling for Atmospheric Composition and Land Cover Monitoring

Global Fire Emission Modelling for Atmospheric Composition and Land Cover Monitoring. Johannes W. Kaiser , S. Serrar, R.J. Engelen, J.-J. Morcrette, A. Hollingsworth, J.-M. Gregoire, G.R. van der Werf. Outline. Biomass Burning in Global Environmental Monitoring

kirima
Download Presentation

Global Fire Emission Modelling for Atmospheric Composition and Land Cover Monitoring

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Global Fire Emission Modelling for Atmospheric Composition and Land Cover Monitoring Johannes W. Kaiser, S. Serrar, R.J. Engelen, J.-J. Morcrette, A. Hollingsworth, J.-M. Gregoire, G.R. van der Werf

  2. Outline • Biomass Burning in Global Environmental Monitoring • Biomass Burning in Atmospheric Composition Monitoring: The Global GEMS Systems • Summary

  3. Biomass Burning in Global Environmental Monitoring

  4. Significance for Atmospheric Composition:2 Preliminary Examples CO2 mixing ratio analysis from poster 1MO2P-0072 SMOKE FROM WILDFIRES aerosol optical depth analysis from poster 1MO2P-0082

  5. Significance for Land Monitoring • Wildfires are an important sink mechanism for the terrestrial carbon pools in the global carbon cycle. • wildfire emissions, typical global values: 1.5 – 4 Gt C / year • fossil fuel emissions of Europe + North America: 3 Gt C / year • Wildfire behaviour characterises land cover types with repeated fire events. • typical fire repeat period • typical fire intensity • typical fire seasonality • … • Wildfires can change the land cover type reversibly • tropical deforestation • …

  6. A Global Fire Assimilation System should serve atmosphere and land monitoring. atmosphere monitoring land monitoring available fuel load pyro-changes in carbon stocks fire emissions land cover type land cover characterisation injection heights land cover change Global Fire Assimilation System fire observations [Kaiser et al. 2006]

  7. Biomass Burning in Atmospheric Composition Monitoring:The Global GEMS Systems

  8. Global Fire Activities in GEMS @ ECMWF • fire emission from inventory GFEDv2 [van der Werf et al., ACP 2006] • hot spot fire observations from satellite-borne MODIS • available fuel load from CASA vegetation model • no near-real time availability • time resolution: 8 days / 1 month • Can be used as dummy for future Global Fire Assimilation System in reanalyses. • Fire Radiative Power from geostationary observations • improved accuracy and time resolution • no operational experience • no global coverage

  9. Fire CO2 Emission on 20 Aug 2003 [g / m2 / day] (GFEDv2_8day, re-gridded to T159)

  10. CO2 Model Field with Fires @ 500hPa [ppm]

  11. Excess CO2 due to Fires @ 500hPa [ppm]

  12. free model run without fire emissions with fire emissions assimi-lation of CO2 observa-tions

  13. with fire emissions no fire emissions observations modelscorrected forbias&trend Fire emissions modelling improves interannual variability & seasonal variability of the modelled CO2 background. altitude of station Variability of CO2 Model: Mauna Loa [observations: public CMDL CCGG data]

  14. Aerosol and Reactive Gas Approach and Issues • approach consistent: • emission inventory GFEDv2 with time resolution of • 1 month (currently) • 8 days (soon) • aerosol: (see poster 1MO2P-0082) • Observations determine 1 parameter relatively well, i.e. AOT. • But model currently distinguishes 11 aerosol types. • Fire emissions help to determine the observed aerosol type. • reactive gases: • emissions in CTMs, not the ECMWF model

  15. Summary

  16. SUMMARY • The global atmosphere and land monitoring systems in the European GMES initiative will need global Biomass Burning modelling in near-real time and consistent multi-year time series. • We recommend to develop a Global Fire Assimilation System (GFAS) to serve the GMES requirements. • The global GEMS system can use GFEDv2 as a work-around for its reanalysis products, and does so. • We see wildfire emissions influencing • CO2: interannual variability, seasonal cycle, and individual episodes • aerosol: episodes, monthly averages • The information from fire emission observation/modelling is complementary to the satellite observations of CO2 and aerosols.

  17. MORE INFORMATION www.ecmwf.int/research/EU_projects/HALO www.ecmwf.int/research/EU_projects/GEMS www.gmes-geoland.info j.kaiser@ecmwf.int This work has been funded by the European Commission through the FP6 projects HALO, GEMS, and GEOLAND. ACKNOWLEDGMENTS

More Related