TY - JOUR
T1 - Modeling of gas and aerosol with WRF/Chem over Europe
T2 - Evaluation and sensitivity study
AU - Tuccella, Paolo
AU - Curci, Gabriele
AU - Visconti, Guido
AU - Bessagnet, Bertrand
AU - Menut, Laurent
AU - Park, Rokjin J.
PY - 2012/1/1
Y1 - 2012/1/1
N2 - The "online" meteorological and chemical transport Weather Research and Forecasting/Chemistry (WRF/Chem) model has been implemented over a European domain, run without aerosol-cloud feedbacks for the year 2007, and validated against ground-based observations. To this end, we integrated the European Monitoring and Evaluation Programme (EMEP) anthropogenic emission inventory into the model pre-processor. The simulated average temperature shows a very small negative bias, the relative humidity and the wind speed are overpredicted by 1.5% (8%) and 1.0m/s (76%), respectively. Hourly ozone (Oinf3/inf) exhibits a correlation with observations of 0.62 and daily maxima are underestimated by about 4%. A general ozone underestimation (overestimation) is found in spring (fall), probably related to misrepresentation of intercontinental transport with time-invariant boundary conditions. Daily nitrogen dioxide (NOinf2/inf) is reproduced within 15% with a correlation of 0.57. Daily PMinf2.5/inf aerosol mass shows mean bias of about -4.0 g/msup3/sup (-7.3%), mainly attributable to the carbonaceous fraction. The model underpredicts particulate sulphate by a factor of 2, and overpredicts ammonium and nitrate by about factor of 2. Possible reasons for this bias are investigated with sensitivity tests and revealed that the aqueous phase oxidation of sulphur dioxide (SOinf2/inf) by hydrogen peroxide (Hinf2/infOinf2/inf) and Oinf3/inf, missing in the configuration of WRF/Chem without aerosol-cloud feedbacks, explains the discrepancy.
AB - The "online" meteorological and chemical transport Weather Research and Forecasting/Chemistry (WRF/Chem) model has been implemented over a European domain, run without aerosol-cloud feedbacks for the year 2007, and validated against ground-based observations. To this end, we integrated the European Monitoring and Evaluation Programme (EMEP) anthropogenic emission inventory into the model pre-processor. The simulated average temperature shows a very small negative bias, the relative humidity and the wind speed are overpredicted by 1.5% (8%) and 1.0m/s (76%), respectively. Hourly ozone (Oinf3/inf) exhibits a correlation with observations of 0.62 and daily maxima are underestimated by about 4%. A general ozone underestimation (overestimation) is found in spring (fall), probably related to misrepresentation of intercontinental transport with time-invariant boundary conditions. Daily nitrogen dioxide (NOinf2/inf) is reproduced within 15% with a correlation of 0.57. Daily PMinf2.5/inf aerosol mass shows mean bias of about -4.0 g/msup3/sup (-7.3%), mainly attributable to the carbonaceous fraction. The model underpredicts particulate sulphate by a factor of 2, and overpredicts ammonium and nitrate by about factor of 2. Possible reasons for this bias are investigated with sensitivity tests and revealed that the aqueous phase oxidation of sulphur dioxide (SOinf2/inf) by hydrogen peroxide (Hinf2/infOinf2/inf) and Oinf3/inf, missing in the configuration of WRF/Chem without aerosol-cloud feedbacks, explains the discrepancy.
U2 - 10.1029/2011JD016302
DO - 10.1029/2011JD016302
M3 - Article
AN - SCOPUS:84856962320
SN - 0148-0227
VL - 117
JO - Journal of Geophysical Research
JF - Journal of Geophysical Research
IS - 3
M1 - D03303
ER -