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Laboratoire d’aérologie (CNRS, TOULOUSE) EDI group (Emissions-Depostion-Impacts, C. Liousse)

Laboratoire d’aérologie (CNRS, TOULOUSE) EDI group (Emissions-Depostion-Impacts, C. Liousse). Involvement in AMMA :.

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Laboratoire d’aérologie (CNRS, TOULOUSE) EDI group (Emissions-Depostion-Impacts, C. Liousse)

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  1. Laboratoire d’aérologie (CNRS, TOULOUSE) EDI group (Emissions-Depostion-Impacts, C. Liousse) Involvement in AMMA : Measurements campaigns : IDAF/AMMA/SACCLAP and experiments in the LA combustion chamber (Mass, Chemical speciation of the aerosol,aerosol size/chemistry,physical properties, in air and in rains) Activity in multiscale atmospheric chemistry modelling Collaborations: Link with LAMP/LOA, ICTP (UNESCO) and TM4-TM5 group. Strong collaborations with African Researchers : Ivory Coast, Senegal, Benin, Cameroon, South Africa, Niger, Mali, Congo : 6 shared phD at this time

  2. Modelling of African aerosol in the context of AMMA • Main scientific objectives : • Improving the characterization of aerosol mixture in the 3D models …. • Sources and transport : cf Liousse presentation. • Physical and chemical state of the mixing • Optical and hygroscopic properties • Impact on regional budgets (transport / deposition) • Impact on regional radiative forcing • … for a better characterization of aerosol/chemistry/climate interactions over the region.

  3. Model used and developped space TM4 (CTM, ~ 3°x 2° ) + ORISAM global continental RegCM3 (Reg climate, 20 – 90 km.) ( + ORISAM in dev.) regional GAME (rad. Trans.) MesoNH-C Met., 3- 40km + ORISAM local ORISAM OD SOP EOP LOP time

  4. Aerosol sectional model Gaseous chemistry 10µm 40nm Inorganic Condensable H2SO4 NH3 HNO3 SO2 NOx OCp BC (sea-salt, dust) Organic Condensable SOAA SOAB COV Emissions Dry and wet deposition ORISAM = ORganic and Inorganic Sectional Aerosol Model Development of ORISAM (Organic and Inorganic Spectral Aerosol model) (Bessagnet et al. 2004, Cousin et al. 2005, Liousse et al., 2005) COUPLING (Guillaume et al., 2007a) ORISAM Bessagnet et al, 2004 Cousin et al, 2005 Liousse et al, 2005 Mallet et al, 2005 in each bin: Absorption/adsorption + internal equilibrium • TM4 (initial state) • (Van Velthoven et al., 1996): • 3°x2° horizontal, • 31 vertical levels (jsq. 10hPa), • 38 gaseous components • (+3 aerosol : sulfates, nitrates, ammonium without size distribution) • Emission : EDGAR3, POET (COV), • ECMWF, • Dry and wet deposition • -Gaseous chemistry (Houweling et al., 1998) sulphate Water nitrate pH SOAA SOAB ammonium

  5. CA Sahara 1 2 WA SA 3 4 0.04-0.13µm 0.13-0.4µm 0.4-1.26µm 1.26-4µm 4-12.6µm 12.6-40µm fine coarse JJA Size/Chemistry from regional mass loads (Gg), (ground totals) ORISAM/TM4 : Species Budgets over Africa 1 2 3 4

  6. ORISAM/TM4 : size-resolved aerosol chemistry over Djougou in December Guillaume et al., 2007 =>experimental results soon available for model validations… Example of comparisons : BC given by ORISAM/TM4 with 2000 emissions with BC measured at Djougou/Benin

  7. ORISAM TM4 : Wet deposition Eg: Species concentrations in rains at Lamto (JJA) ORISAM/TM4 : preliminary results Observed : IDAF network Yoboué, Galy et al., 2006

  8. Size resolved speciation Optical properties calculations ORISAM / RAD RAD model Internal mixtures with 3 layers + Mie [Mallet, Pont et al., 2005] SOA OCp Sulfates, Nitrates, Ammonium Qe(x) BC Dust H2O Qext SSA Assymetry parameter Size distribution in Ghent(Putaud)

  9. Comparaisons of model results vs. Measured optical properties during AMMA Aerosol single scattering albedo on Djougou (SOP0) ORISAM / Rad/ TM4 • BAe-146  SSA520  0.90 (S. Osborne, Met Office) scattering particles (SSA  0.95)  absorbing particles (SSA  0.85) Nephelometer + Aethalometer 0.75  SSA520 0.99 mean SSA520 = 0.90 + ORISAM / Rad / MesoNH + RegCM3

  10. Regional climate impact of aerosols RegCM3 : ( ICTP / UNESCO) Regional Climate Model ( res 20 to 90km) Aerosol module : (SO4, BC,OC + dust module, Solmon et al;, 2006 ; Zakey et al., 2006) + Optical properties Dust climatic effect on monsoon Res 60 km JJA Precip Difference (dust – no dust) Average : 1969 – 2006 Konaré , Solmon et al., in prep

  11. Biomass burning aerosols in RegCM Simple representation for the moment Used for budget and sensitivity studies to emissions, e.g sensitivity to emission inventory On going developments Anthropogenic radiative forcing and climatic impacts RegCM3 / ORISAM coupling …

  12. ON GOING WORK and perspectives • (high temporal resolution emissions) • SOP0 : ORISAM-RAD-MesoNH simulations (19-20-21 Jan. 06) RegCM3 episode. • =>EOP 2005-2007with ORISAM-RAD TM4 (3*2*month) and • RegCM3 seasonal budgets and radiative forcings. • =>LOP ->RegCM3 and ORISAM-RAD-TM4 (2000-2010) • Period interannual variability and regional climatic impact. Interest in Intercomparaison studies !

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