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Paolo Tuccella, Gabriele Curci, Suzanne Crumeyrolle , Guido Visconti

Simulation aerosol-clouds interaction over Europe with the meteorology-chemistry-radiation eulerian model WRF/ Chem. Paolo Tuccella, Gabriele Curci, Suzanne Crumeyrolle , Guido Visconti. Direct and Indirect aerosol effects. Indirect effect. CLEAN. Direct effect. POLLUTED. Clean.

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Paolo Tuccella, Gabriele Curci, Suzanne Crumeyrolle , Guido Visconti

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  1. Simulation aerosol-clouds interaction over Europe with the meteorology-chemistry-radiation eulerian model WRF/Chem Paolo Tuccella, Gabriele Curci, SuzanneCrumeyrolle, Guido Visconti

  2. Direct and Indirect aerosol effects Indirecteffect CLEAN Direct effect POLLUTED Clean Polluted Rosenfeld et al., Science, 2008

  3. WRF/Chem model WRF/Chem is an online model where meteorological and chemical processes are full coupled and run on the same grid, time step and parameterizations. Implementation of direct and indirect aerosol effects in a new module for aerosol(RACM/MADE/SOA-VBS) [Grell et al., Atmos. Env., 2005; Fast et al., JGR, 2006; Chapman et al., ACP, 2009]

  4. Implementation of Aerosol-Cloudinteractionwithin new SOA scheme + Evaporation + Activation N = # clouddroplet CloudBorne Aerosol CloudChemistry Resuspension WetScavenging (within and belowcloud) Activation of interstitialaerosols

  5. Extensive Evaluation: 13-18 May 2008 2nested domain at 30, 10 Km of resolutioncentered over The Netherland Comparison of WRF/Chemresults to observationsissued in the frame of EUCAARI project Intensive Cloud Aerosol MeasurementCampain (IMPACT): profiles from ATR-42 aircraft and groundbasedmesurementscollectedatCabauw (near Amsterdam) tower

  6. Synopticoverview 14 May 12 UTC 13 May 12 UTC Dry Conditions: 13-14 May 15 May 12 UTC 17 May 12 UTC WET Conditions: 15-18 May

  7. CabauwTower Temperature RealtiveHumidity Overpredictionduringwetdays

  8. CabauwTower: windspeed Correlation: 0.62-0.67 GrossError: 40-49% WRF/Chemoverpredicts the windspeed

  9. CabauwTower: aerosol mass composition SO4 WRF/Chem tends to anticipate or postpone the observed peaks of the SO4 of a fewhours NO3 NO3 isunderestimated. Probably due to underestimation of totalammonia NH4 The trend of the predicted NH4 is correlated with NO3 OM OM isunderestimated by a factor of2 during the dry period.

  10. WRF/Chem vs ATR-42: aerosol mass composition Dry conditions, aboveCabauw: SO4 NO3 NH4 OM Negative biasmay be due: underestimation of precursor gases, underestimation of long rangetransport.

  11. WRF/Chem vs ATR-42: aerosol mass composition From London to Rotterdam, through the North Sea: The negative biasmay be due to a too strong advection of cool and clean air from high latitudes

  12. WRF/Chem vs ATR-42: aerosol numberconcentration Cabauw North Sea Ultrafine Ultrafine CN CN WRF/Chemtends to overpredicts the CN above land about of a fator 3. Above sea, it capturesthe dynamical range of the observations, but exhibits a larger variability than the one observed. High positive biasmay be due to an excessivenucleation or to an overestimation of the anthropogenicemissions in the ultrafine mode.

  13. WRF/Chem vs ATR-42: cloudmicrophysicalproperties North Sea (marine stratocumulus): The cloud layer is simulated by the model lower than observed Predicted CDNC is overestimated Re CDNC LWC Cabauw (cumulus): CDNC LWC Re The negative bias of modeled Re is directly consequence of CDNC overestimation.

  14. Quantification of indirecteffect Aim: to understandhowwell WRF/Chemreproduces the amplitude of first indirecteffect (Twomey’seffect), i.e., the response of clouddropletsize to the variation of aerosol particleload For cloud with constantliquid water content: ACI reeffectiveradius of clouddroplets αproxy for aerosol particleload Theoreticalestimation of ACI: 0.23 0<ACI<0.33 [Feingoldet al., JGR, 2001]

  15. THANKS FOR YOUR ATTENTION!!!

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