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INFLUENCE OF BOREAL FOREST FIRES ON AEROSOLS IN THE UPPER TROPOSPHERE AND LOWER STRATOSPHERE

INFLUENCE OF BOREAL FOREST FIRES ON AEROSOLS IN THE UPPER TROPOSPHERE AND LOWER STRATOSPHERE. Richard Damoah; Nicole Spichtinger; Andreas Stohl Technical University of Munich (TUM) Germany. PARTS Meeting Hyytiala, Finland 18 – 21 May 2003. Overview.

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INFLUENCE OF BOREAL FOREST FIRES ON AEROSOLS IN THE UPPER TROPOSPHERE AND LOWER STRATOSPHERE

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  1. INFLUENCE OF BOREAL FOREST FIRES ON AEROSOLS IN THE UPPER TROPOSPHERE AND LOWER STRATOSPHERE Richard Damoah; Nicole Spichtinger; Andreas Stohl Technical University of Munich (TUM) Germany PARTS Meeting Hyytiala, Finland 18 – 21 May 2003

  2. Overview • Introduction • Climatical conditions • Seasonal variations of forest fire emissions • Methodology • Model used • Results • Case Studies • Conclusion

  3. Why are boreal forest fires so important ?

  4. Deforestation • Boreal Region has about 1b ha of closed forest (2/3 in Russia and 1/3 in North America). [Kasischke et al.,2000] • In 1998 ~5 M ha destroyed in Russia (highest in 10yrs) and ~4.5 M ha destroyed in Canada (higest in 5yrs) [IFFN, 1999 , 2000] • Sea • Large amounts of ashes were transported into Okhotsk sea and Japanese sea during • 1998 fire season.[ IFFN, 2000] • Atmosphere • Emit aerosols and trace gases such as CO, NOx and hydrocarbons which leads • to the formation of O3[Goode et al., 2000] • These species can be transported over long distances [Forster, 2001; Spichtinger, 2001]

  5. NOAA NCDC SSMI anomaly blended temperature July 1998 July 1997 Climatical condition

  6. Seasonal total O3 concentration in the Northern Hemisphere ( > 50°N ) as seen by Global Ozone Monitoring Experiment ( GOME )

  7. Seasonal CO2 and CO anomaly averaged over lat. > 30°N from 1996 to 1999.

  8. Methodology • SAGE II data were used to detect plumes of enhanced aerosols • Lagrangian transport model FLEXPART was used to trace the sources of the aerosol • enhancement • Finally ATSR hot spot data were used to verify any fire event in source regions.

  9. Model Overview • FLEXPART [Stohl et al.,1998; Stohl and Thomson, 1999] is a Lagrangian particle dispersion model that treats both advection and turbulent diffusion by calculating the trajectories of a multitude of particles. • It has recently been equipped with convection scheme [Emanuel and Zivkovic-Rothman, 1999] to account for the sub-gridscale convective transport. • The model is driven by meteorological data from ECMWF [ECMWF, 1995] (resolution 5°, and 31 vertical levels). • FLEXPART can be used in the forward mode to simulate the dispersion of polutants from a location, • or in the backward mode to determine the source - receptor relationship. • In the backward mode, the output is in the unit of seconds known as the residence time, which is a measure of the potential contribution of sources of a certain species to the mixing ration at the receptor.

  10. Results SAGE II data averaged over Siberia ( lat. 50°- 60° N ; long. 120°E – 140°E) during the burning season ( May – October)

  11. tropopause CASE ONE; 3 – 8 Aug. 1998

  12. tropopause CASE TWO; 21 – 26 Sept. 1998

  13. tropopause CASE THREE; 10 – 15 Octo. 1998

  14. Conclusions • ATSR detected a strong burning season in 1998 in Russia • SAGE II and TOMS data indicate aerosol enhancements over Russia • during the 1998 fire season • FLEXPART simulation shows a strong linkage between the enhanced • aerosols and the forest fires

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