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Modelling the radiative impact of aerosols from biomass burning during SAFARI-2000

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1Department of Geophysics, University of Oslo, Oslo, Norway ... W. Elbert, W. Maenhaut, C. Jost, D. Sprung, M.O. Andreae, H. Barjat, J. Haywood, ... – PowerPoint PPT presentation

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Title: Modelling the radiative impact of aerosols from biomass burning during SAFARI-2000


1
Modelling the radiative impact of aerosols from
biomass burning during SAFARI-2000 Gunnar
Myhre1,2 Terje K. Berntsen3,1 James M. Haywood4
Jostein K. Sundet1 Brent N. Holben5 Mona
Johnsrud2 Frode Stordal2,1 1Department of
Geophysics, University of Oslo, Oslo,
Norway2Norwegian Institute for Air Research
(NILU), Kjeller, Norway3Center for International
Climate and Environmental Research - Oslo
(CICERO), Oslo, Norway4Met Office, Bracknell,
UK5Biospheric Sciences Branch, NASA Goddard
Space Flight Center, Greenbelt, Maryland
  • Method
  • A 3-dimentional off-line CTM with pre-calculated
    meteorological fields from ECMWF is adopted to
    calculate the distribution of aerosol from
    biomass burning. The horizontal resolution used
    in the simulations is T63 (1.87x1.87).
  • The treatment of black carbon (BC) and organic
    carbon (OC) for biomass burning is adopted from
    Cooke et al. 1999. Both BC and OC are
    separated in a hydrophobic fraction and a
    hydrophilic fraction (see further details Myhre
    et al., 2002).
  • The size distribution and refractive index of the
    particles in the biomass burning plume are
    adopted from the Met Office C-130 aircrfat
    Haywood et al., 2002 to model the optical
    properties (specific extinction coefficient,
    single scattering albedo, and asymmetry factor)
    using Mie theory.
  • A BC/OC ratio of 0.12 from Haywood et al., 2002
    and a OM/OC ratio of 2.6 from Formenti et al.
    2002 is used in the calculation of the optical
    properties.
  • We reproduce the single scattering albedo at 0.55
    µm of 0.90, which was estimated by Haywood et
    al. 2002. Further, the decrease with wavelength
    in specific extinction and single scattering,
    Haywood et al., 2002, which is important for
    the radiative transfer calculations, is also well
    reproduced.
  • Introdution
  • Based on modelling linked to measurements we
    estimate the radiative impact of aerosols from
    biomass burning during the SAFARI-2000 campaign,
  • A chemistry-transport model (the Oslo CTM) with
    meteorological data for the actual period is
    adopted to simulate the distribution of the
    biomass aerosols.
  • A radiative transfer scheme is adopted in the
    calculations of the radiative impact of the
    biomass aerosols.
  • A thorough comparison between our model results
    and available observations are made with regard
    to aerosol optical depth (AOD), the vertical
    profile, and the radiative impact of the biomass
    aerosols. Observations include in situ data from
    the Met Office C-130 aircraft, ground based data,
    and satellite data

Aerosol optical depth (AOD) The modelled
September 2000 monthly mean AOD is shown in
Figure 1. A maximum AOD of nearly 1.0 is
estimated with transport pattern to the north
west and south east.
  • Radiative forcing
  • Clouds strongly influence the radiative forcing
    due to aerosol from biomass burning as can be
    seen from Fig 3. Clouds have a stronger impact on
    the radiative forcing due to biomass aerosol than
    for sulfate aerosols.

Fig 3 Monthly mean radiative forcing due to
aerosols from biomass buring during September
2000. a) Clouds included in the radiative
transfer calculations, b) clouds excluded in the
radiative transfer calculations.
Fig 1 Monthly mean modelled AOD for September
2000 in the upper panel and AOD for September
2000 from MODIS in the lower panel.
  • Summary
  • Using the ECMWF meteorological data for the
    campaign period the model manages to reproduce
    some of the main patterns of AOD during period,
    found both in satellite retrievals and ground
    based AERONET measurements.
  • The modelled radiative impact of the biomass
    aerosols compares reasonably well to measurements
    (within 20).
  • Local radiative cooling and warming up to 50 Wm-2
    magnitude is modelled.
  • The clouds strongly influence the radiative
    impact of the aerosols.
  • Globally the aerosols from biomass burning in
    southern Africa in September 2000 result in a
    global mean radiative impact of -0.13 Wm-2.
  • References
  • Cooke, W.F., C. Liousse, H. Cachier, and J.
    Feichter, Construction of a 1x1 fossil-fuel
    emission dataset for carbonaceous aerosols and
    implementation and radiative impact in the
    ECHAM-4 model, J. Geophys. Res., 104,
    22,137-22,162, 1999.
  • Formenti, P., W. Elbert, W. Maenhaut, C. Jost, D.
    Sprung, M.O. Andreae, H. Barjat, J. Haywood, P.
    Francis, and S. Osborne, The C-130 airborne
    measurements of water soluble and carbonaceous
    aerosols during the SAFARI 2000 dry season
    intensive chemical characteristics, relevance
    to the optical properties and emission
    inventories of African biomass burning aerosols,
    J. Geophys. Res., accepted 2002.
  • Haywood, J., S. Osborne, P. Francis, P.
    Formenti, and M.O. Andreae, The mean physical and
    optical properties of biomass burning aerosol
    measured by the C-130 aircraft during
    SAFARI-2000, J. Geophys. Res., accepted 2002.
  • Myhre, G., T. K. Berntsen, J. M. Haywood, J. K.
    Sundet, B. N. Holben, M. Johnsrud, and F.
    Stordal, Modelling the solar radiative impact of
    aerosols from biomass burning during SAFARI-2000,
    accepted J. Geophys. Res., 2002.

Comparison with AERONET data
The paper can be found at http//folk.uio.no/gunn
army/manuscript/revised/safari/safari_ctm.pdf A
similar paper from the SHADE campaign can be
found at http//folk.uio.no/gunnarmy/manuscript/r
evised/shade/shade.pdf
Fig 2 Comparison of AOD from the modelled with
AERONET for 10 stations
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