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Application of CAMx and CHIMERE models over Italy Guido PIROVANO

Application of CAMx and CHIMERE models over Italy Guido PIROVANO. Bertrand Bessagnet Cécile Honoré INERIS. Stefano Alessandrini Matteo Paolo Costa Giovanni Manzi Cesare Pertot Anna Toppetti CESI Research Centre Milan. CESI. Agenda. CAMx - CHIMERE features Domain and input data

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Application of CAMx and CHIMERE models over Italy Guido PIROVANO

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  1. Application of CAMx and CHIMERE models over Italy Guido PIROVANO Bertrand Bessagnet Cécile Honoré INERIS Stefano Alessandrini Matteo Paolo Costa Giovanni Manzi Cesare Pertot Anna Toppetti CESI Research Centre Milan CESI

  2. Agenda • CAMx - CHIMERE features • Domain and input data • Model results • Comparison with observations • Conclusions

  3. CAMx - CHIMERE features CAMx - Gas Module CHIMERE - V200402D • CB-IV • 6 size bins • Primary PM • SOA • ISORROPIA • NO3-, NH4+, SO4= CAMx - Aerosol Module • 1 or 2 size bins • Primary PM • CRS, PRM, PEC, POA • ISORROPIA • NO3-, NH4+, SO4=, Na, Cl • SOAP • SOA1-4 CHIMERE - V200501G • idem + Boundary conditions • dust (desert + erosion) • new meteo (ERA40) • new deposition (as EMEP)

  4. Domain Chemical stations PM (Airbase + EMEP) GAS (Airbase)

  5. Input data • Grid 25x25 km (PSP); 13 v.lev. (70 m); • Meteo RAMS with ECMWF analysis • Boundary CHIMERE v200402D • Emissions area: APAT2000 + EMEP; lps: APAT + EPER (700) • (Gas, PPM, PC) CAMx CHIMERE - V200402D • Grid 50x50 Km ; 8 vert. Levels (up to 700 Hpa) • Meteo ECMWF (50 Km) • Boundary MOZART (gas) • Emissions EMEP (1999) CHIMERE - V200501G • Grid 50x50 Km ; 8 vert. Levels (up to 500 Hpa) • Meteo ERA40 + MM5 (36 Km) • Boundary MOZART (gas) + GOCART (aerosol) • Emissions EMEP (1999)

  6. CHIMERE as Boundary Conditions for CAMx Main features • Grid 0.5 x 0.5 °; 8 vertical levels (from 40 m up to 3500 agl) • Temporal res. 3 hourly • Gas species O3, NO, NO2, HNO3, PAN, SO2, CO, NH3, SULF • Ethane, Ethene, n-Butane, Isoprene, HCHO, a-pin • Aerosol 6 bins (4 up to PM25; 5 up to PM10;) • PPM, ASOA, BSOA, NH4, SO4, NO3, Water Link to CAMx • Linear interpolation both in space and time • VOC allocation into CB-IV classes • Aerosol aggregation into CAMx classes

  7. Model results (21 June - 4 July 1999)O3 CAMx CHIMERE 2004 CHIMERE 2005

  8. Model results (21 June - 4 July 1999)CO CAMx CHIMERE 2004 CHIMERE 2005

  9. Model results (21 June - 4 July 1999)NO2 CAMx CHIMERE 2004 CHIMERE 2005

  10. Model results (21 June - 4 July 1999)HNO3 CAMx CHIMERE 2004 CHIMERE 2005

  11. Model results (21 June - 4 July 1999)NH3 CAMx CHIMERE 2004 CHIMERE 2005

  12. Model results (21 June - 4 July 1999)PM10 CAMx CHIMERE 2004 CHIMERE 2005

  13. Model results (21 June - 4 July 1999)PPM CAMx CHIMERE 2004 CHIMERE 2005

  14. Model results (21 June - 4 July 1999)NO3- CAMx CHIMERE 2004 CHIMERE 2005

  15. Model results (21 June - 4 July 1999)NH4+ CAMx CHIMERE 2004 CHIMERE 2005

  16. Model results (21 June - 4 July 1999)SO4= CAMx CHIMERE 2004 CHIMERE 2005

  17. Comparison with observations O3

  18. Comparison with observations O3

  19. Comparison with observations O3

  20. Comparison with observations O3

  21. Comparison with observations NO2

  22. Mean day CO

  23. Comparison with observations PM10

  24. Comparison with observations Nitrate NO3- HNO3

  25. Comparison with observations Ammonium NH3 NH4

  26. Comparison with observations Sulfate SO2 SO4

  27. Aerosol Composition CAMx CHIMERE 2004 CHIMERE 2005

  28. Conclusions • Models have shown a coherent behaviour • Ozone episodes are correctly reproduced • PM10 patterns over Italy are correctly reproduced • CAMx generally predicts higher concentrations of inorganic compounds… • …but underestimates secondary organic fraction • Upgrades in CHIMERE 2005 generally improve model performances • Differences within models do not seem to be directly related to step size… • …but mainly to input configuration (Emissions, Meteo fields,…) • Po Valley is the most critical area (as expected!)

  29. Some ideas for the future... • Near Future…. • Perform yearly simulations (analysing also deposition) • (Not too) Far Future... • Perform long term simulations for different years • Apply RAMS-CAMx (with PREV’AIR?) to supply air quality forecasts over Italian domain • Perform simulations also at regional/urban scale (CAMX implements two way nesting …)

  30. Acknowledgements CESI contribution of this paper has been supported by the MICA (Italian Ministry of Industry, Trade and Handicraft) in the frame of Energy Research Program for the Italian Electric System (MICA Decree of February 28, 2003), Project on SCENARI.

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